{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.7.9","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"<img src=\"https://i.imgur.com/oiG2jZl.png\">\n<center><h1>🧭Indoor Location and Navigation🧭</h1></center>\n\n# 1. Introduction\n> 📌 **Goal**: Predicting the indoor position of smartphones 📱 based on a *real-time* sensor 🎯.\n\n> We'll also learn how to use the **GitHub Repository** available through this competition and call the custom functions **without** copy-pasting them into the notebook.\n\n### Libraries📚","metadata":{}},{"cell_type":"code","source":"# CPU libraries\nimport os\nimport json\nfrom glob import glob\nimport cv2\nimport numpy as np\nimport pandas as pd\nimport seaborn as sns\nimport matplotlib\nimport matplotlib.pyplot as plt\nimport plotly.graph_objs as go\n\nfrom PIL import Image, ImageOps\nfrom skimage import io\nfrom skimage.color import rgba2rgb, rgb2xyz\nfrom tqdm import tqdm\nfrom dataclasses import dataclass\nfrom math import floor, ceil\n\nmycolors = [\"#797D62\", \"#9B9B7A\", \"#D9AE94\", \"#FFCB69\", \"#D08C60\", \"#997B66\"]","metadata":{"execution":{"iopub.status.busy":"2023-05-06T22:41:05.607781Z","iopub.execute_input":"2023-05-06T22:41:05.608224Z","iopub.status.idle":"2023-05-06T22:41:06.939521Z","shell.execute_reply.started":"2023-05-06T22:41:05.608133Z","shell.execute_reply":"2023-05-06T22:41:06.938712Z"},"trusted":true},"execution_count":1,"outputs":[]},{"cell_type":"code","source":"# How 1 path looks\nbase = '../input/indoor-location-navigation'\npath = f'{base}/train/5a0546857ecc773753327266/B1/5e15730aa280850006f3d005.txt'\n\nwith open(path) as p:\n    lines = p.readlines()\n\nprint(\"No. Lines in 1 example: {:,}\". format(len(lines)), \"\\n\" +\n      \"Example (5 lines): \", lines[0:5])","metadata":{"execution":{"iopub.status.busy":"2023-05-06T13:42:35.256118Z","iopub.execute_input":"2023-05-06T13:42:35.256481Z","iopub.status.idle":"2023-05-06T13:42:35.297704Z","shell.execute_reply.started":"2023-05-06T13:42:35.256448Z","shell.execute_reply":"2023-05-06T13:42:35.296677Z"},"trusted":true},"execution_count":2,"outputs":[{"name":"stdout","text":"No. Lines in 1 example: 14,210 \nExample (5 lines):  ['#\\tstartTime:1578462618385\\n', '#\\tSiteID:5a0546857ecc773753327266\\tSiteName:西溪银泰城\\tFloorId:5a24ae78fe4e220014739c5c\\tFloorName:地下一层\\n', '#\\tBrand:OPPO\\tModel:PBCM10\\tAndroidName:8.1.0\\tAPILevel:27\\t\\n', '#\\ttype:1\\tname:BMI160 Accelerometer\\tversion:2062600\\tvendor:BOSCH\\tresolution:0.0023956299\\tpower:0.18\\tmaximumRange:39.22661\\n', '#\\ttype:4\\tname:BMI160 Gyroscope\\tversion:2062600\\tvendor:BOSCH\\tresolution:0.0010681152\\tpower:0.9\\tmaximumRange:34.906586\\n']\n","output_type":"stream"}]},{"cell_type":"code","source":"!cp -r ../input/indoor-locationnavigation-2021/indoor-location-competition-20-master/indoor-location-competition-20-master/* ./","metadata":{"execution":{"iopub.status.busy":"2023-05-06T13:42:37.727017Z","iopub.execute_input":"2023-05-06T13:42:37.727546Z","iopub.status.idle":"2023-05-06T13:43:07.146355Z","shell.execute_reply.started":"2023-05-06T13:42:37.727509Z","shell.execute_reply":"2023-05-06T13:43:07.144991Z"},"trusted":true},"execution_count":3,"outputs":[]},{"cell_type":"markdown","source":"# wifi feature extract","metadata":{}},{"cell_type":"code","source":"# pull out all the buildings actually used in the test set, given current method we don't need the other ones\nssubm = pd.read_csv('../input/indoor-location-navigation/sample_submission.csv')\n\n# only 24 of the total buildings are used in the test set, \n# this allows us to greatly reduce the intial size of the dataset\n\nssubm_df = ssubm[\"site_path_timestamp\"].apply(lambda x: pd.Series(x.split(\"_\")))\nused_buildings = sorted(ssubm_df[0].value_counts().index.tolist())\n\n# dictionary used to map the floor codes to the values used in the submission file. \nfloor_map = {\"B2\":-2, \"B1\":-1, \"F1\":0, \"F2\": 1, \"F3\":2, \"F4\":3, \"F5\":4, \"F6\":5, \"F7\":6,\"F8\":7, \"F9\":8,\n             \"1F\":0, \"2F\":1, \"3F\":2, \"4F\":3, \"5F\":4, \"6F\":5, \"7F\":6, \"8F\": 7, \"9F\":8}","metadata":{"execution":{"iopub.status.busy":"2023-05-06T22:41:09.485246Z","iopub.execute_input":"2023-05-06T22:41:09.485551Z","iopub.status.idle":"2023-05-06T22:41:11.894807Z","shell.execute_reply.started":"2023-05-06T22:41:09.48552Z","shell.execute_reply":"2023-05-06T22:41:11.893686Z"},"trusted":true},"execution_count":3,"outputs":[]},{"cell_type":"code","source":"base_path = '../input/indoor-location-navigation/'\nbssid = dict()\nfrom tqdm import tqdm\nfor building in used_buildings[:1]:\n    folders = sorted(glob(os.path.join(base_path,'train/'+building+'/*')))\n    print(building)\n    wifi = list()\n    for i, folder in enumerate(folders):\n        for file in glob(folder + '/*'):\n            with open(file) as p:\n                lines = p.readlines()\n            idx = pd.Series(lines).apply(lambda x : x.strip().split('\\t')[1] == 'TYPE_WIFI')\n            # bssid 만 뽑기\n            wifi.extend(pd.Series(lines)[idx].apply(lambda x : x.strip().split('\\t')[3]).values)\n\n    v_c = pd.Series(wifi).value_counts() \n#     top_bssid = v_c[v_c > 3000].index.tolist()\n    top_bssid = v_c.index.to_list()[:10]\n\n    print(len(top_bssid))\n    bssid[building] = top_bssid","metadata":{"execution":{"iopub.status.busy":"2023-05-06T22:41:32.048876Z","iopub.execute_input":"2023-05-06T22:41:32.049545Z","iopub.status.idle":"2023-05-06T22:42:05.658755Z","shell.execute_reply.started":"2023-05-06T22:41:32.049492Z","shell.execute_reply":"2023-05-06T22:42:05.657595Z"},"trusted":true},"execution_count":6,"outputs":[{"name":"stdout","text":"5a0546857ecc773753327266\n","output_type":"stream"},{"name":"stderr","text":"  0%|          | 0/24 [00:38<?, ?it/s]\n","output_type":"stream"},{"name":"stdout","text":"10\n","output_type":"stream"}]},{"cell_type":"code","source":"v_c_df = v_c.to_frame()","metadata":{"execution":{"iopub.status.busy":"2023-05-06T22:45:29.948509Z","iopub.execute_input":"2023-05-06T22:45:29.94932Z","iopub.status.idle":"2023-05-06T22:45:29.955044Z","shell.execute_reply.started":"2023-05-06T22:45:29.949267Z","shell.execute_reply":"2023-05-06T22:45:29.953989Z"},"trusted":true},"execution_count":15,"outputs":[]},{"cell_type":"code","source":"v_c_df.index.name = \"bssid\"\nv_c_df.r","metadata":{"execution":{"iopub.status.busy":"2023-05-06T22:46:41.395186Z","iopub.execute_input":"2023-05-06T22:46:41.395602Z","iopub.status.idle":"2023-05-06T22:46:41.399776Z","shell.execute_reply.started":"2023-05-06T22:46:41.39557Z","shell.execute_reply":"2023-05-06T22:46:41.398668Z"},"trusted":true},"execution_count":16,"outputs":[]},{"cell_type":"code","source":"v_c_df","metadata":{"execution":{"iopub.status.busy":"2023-05-06T22:48:58.611894Z","iopub.execute_input":"2023-05-06T22:48:58.612287Z","iopub.status.idle":"2023-05-06T22:48:58.624153Z","shell.execute_reply.started":"2023-05-06T22:48:58.612251Z","shell.execute_reply":"2023-05-06T22:48:58.623172Z"},"trusted":true},"execution_count":27,"outputs":[{"execution_count":27,"output_type":"execute_result","data":{"text/plain":"                                             0\nbssid                                         \na52823c2ed57e18f81da316e5bcac8bd2754ce96  4931\n61a14256d195624aadd9dfd55c8643505635edd7  4903\nc93c29d2173b811a18de34940ccc210a3064230e  4899\na09ab3d8a7700fec7b83389c06088c91748be41c  4887\n4cff1c8cfec27801ddc9a690ade87c57f1142ee0  4880\n...                                        ...\n3e56dc845f9ac9d089feb391245f5e887c8a19db     1\n9011a61e64b00b9739cfa4a3c3f9db2efaf0cca0     1\na863e2d6f06555e0325a07057e22a55b3d2afd83     1\n1cba90c322fccbce36acd5a9a576813a3d648e8e     1\n24c803fa0bf134b28a937740d919e16ddf501084     1\n\n[3397 rows x 1 columns]","text/html":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>0</th>\n    </tr>\n    <tr>\n      <th>bssid</th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>a52823c2ed57e18f81da316e5bcac8bd2754ce96</th>\n      <td>4931</td>\n    </tr>\n    <tr>\n      <th>61a14256d195624aadd9dfd55c8643505635edd7</th>\n      <td>4903</td>\n    </tr>\n    <tr>\n      <th>c93c29d2173b811a18de34940ccc210a3064230e</th>\n      <td>4899</td>\n    </tr>\n    <tr>\n      <th>a09ab3d8a7700fec7b83389c06088c91748be41c</th>\n      <td>4887</td>\n    </tr>\n    <tr>\n      <th>4cff1c8cfec27801ddc9a690ade87c57f1142ee0</th>\n      <td>4880</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>3e56dc845f9ac9d089feb391245f5e887c8a19db</th>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>9011a61e64b00b9739cfa4a3c3f9db2efaf0cca0</th>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>a863e2d6f06555e0325a07057e22a55b3d2afd83</th>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>1cba90c322fccbce36acd5a9a576813a3d648e8e</th>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>24c803fa0bf134b28a937740d919e16ddf501084</th>\n      <td>1</td>\n    </tr>\n  </tbody>\n</table>\n<p>3397 rows × 1 columns</p>\n</div>"},"metadata":{}}]},{"cell_type":"code","source":"v_c_df.style.background_gradient(cmap='Blues', vmin=4500, vmax=5000).format(\"{:.0f}\").set_caption('')","metadata":{"execution":{"iopub.status.busy":"2023-05-06T22:49:51.150337Z","iopub.execute_input":"2023-05-06T22:49:51.150832Z","iopub.status.idle":"2023-05-06T22:49:51.599423Z","shell.execute_reply.started":"2023-05-06T22:49:51.150777Z","shell.execute_reply":"2023-05-06T22:49:51.598587Z"},"trusted":true},"execution_count":34,"outputs":[{"execution_count":34,"output_type":"execute_result","data":{"text/plain":"<pandas.io.formats.style.Styler at 0x717fe1244990>","text/html":"<style  type=\"text/css\" >\n#T_015f1_row0_col0{\n            background-color:  #0a549e;\n            color:  #f1f1f1;\n        }#T_015f1_row1_col0{\n            background-color:  #1562a9;\n            color:  #f1f1f1;\n        }#T_015f1_row2_col0{\n            background-color:  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id=\"T_015f1_level0_row6\" class=\"row_heading level0 row6\" >5b225e187d0dec3110683a74d0c9a5a4cb2022f5</th>\n                        <td id=\"T_015f1_row6_col0\" class=\"data row6 col0\" >4856</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row7\" class=\"row_heading level0 row7\" >d84cce12fbfba61bf930123050f61a11e2a29310</th>\n                        <td id=\"T_015f1_row7_col0\" class=\"data row7 col0\" >4846</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row8\" class=\"row_heading level0 row8\" >b2546cae6e588d38618eacc557dd0385812197cf</th>\n                        <td id=\"T_015f1_row8_col0\" class=\"data row8 col0\" >4837</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row9\" class=\"row_heading level0 row9\" >b26914599f6d9ba16b43975394e1eeb9d82f4bab</th>\n                        <td id=\"T_015f1_row9_col0\" class=\"data row9 col0\" >4836</td>\n          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id=\"T_015f1_row13_col0\" class=\"data row13 col0\" >4818</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row14\" class=\"row_heading level0 row14\" >ca0e0bebf85f1348808b0979b74868e4e675e4d8</th>\n                        <td id=\"T_015f1_row14_col0\" class=\"data row14 col0\" >4818</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row15\" class=\"row_heading level0 row15\" >6bc91b3951089c3a225396608b138ca178479924</th>\n                        <td id=\"T_015f1_row15_col0\" class=\"data row15 col0\" >4813</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row16\" class=\"row_heading level0 row16\" >f65804069553e141a96eae17f475584617a5324b</th>\n                        <td id=\"T_015f1_row16_col0\" class=\"data row16 col0\" >4792</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row17\" class=\"row_heading level0 row17\" >77d933b398825a1c6a9054bde71d44d2d3cb17f7</th>\n                        <td id=\"T_015f1_row17_col0\" class=\"data row17 col0\" >4791</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row18\" class=\"row_heading level0 row18\" >1aebe03ff86398cd62ed5ec0da3650e9041baa31</th>\n                        <td id=\"T_015f1_row18_col0\" class=\"data row18 col0\" >4790</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row19\" class=\"row_heading level0 row19\" >5cfff2a06e481233f2df41ef8adc590a0d779517</th>\n                        <td id=\"T_015f1_row19_col0\" class=\"data row19 col0\" >4790</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row20\" class=\"row_heading level0 row20\" >288f3c61d2f10cc122ff9cd09c27c5aed544e4e2</th>\n                        <td id=\"T_015f1_row20_col0\" class=\"data row20 col0\" >4788</td>\n            </tr>\n            <tr>\n                    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class=\"row_heading level0 row32\" >a9535d6a53bc660bdc3f2540251e6289b8c75bfd</th>\n                        <td id=\"T_015f1_row32_col0\" class=\"data row32 col0\" >4533</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row33\" class=\"row_heading level0 row33\" >2798955a957d1c8c01f6341133cd847016b2b742</th>\n                        <td id=\"T_015f1_row33_col0\" class=\"data row33 col0\" >4464</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row34\" class=\"row_heading level0 row34\" >5a1b76adb81b4e42fe9955ebfa04cc331a0b2927</th>\n                        <td id=\"T_015f1_row34_col0\" class=\"data row34 col0\" >4440</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row35\" class=\"row_heading level0 row35\" >02a1be3a5dab38320f879489d8a1e0f2a72768b3</th>\n                        <td id=\"T_015f1_row35_col0\" class=\"data row35 col0\" >4432</td>\n            </tr>\n   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id=\"T_015f1_row39_col0\" class=\"data row39 col0\" >4389</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row40\" class=\"row_heading level0 row40\" >93cfc00cb75026eea74e8bb316b3673b53d374a9</th>\n                        <td id=\"T_015f1_row40_col0\" class=\"data row40 col0\" >4381</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row41\" class=\"row_heading level0 row41\" >4ec476a535783b1129828738a517f58f8c275ae0</th>\n                        <td id=\"T_015f1_row41_col0\" class=\"data row41 col0\" >4374</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row42\" class=\"row_heading level0 row42\" >f6d3e531f5c08830bcd666c11a2926e24bd47bc1</th>\n                        <td id=\"T_015f1_row42_col0\" class=\"data row42 col0\" >4370</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row43\" class=\"row_heading level0 row43\" >2bb807107c76d4339fb55c9da49ecfab1f9120ca</th>\n                        <td id=\"T_015f1_row43_col0\" class=\"data row43 col0\" >4357</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row44\" class=\"row_heading level0 row44\" >d2402d8ef8ed4ba4933a76cce532c8774f589d32</th>\n                        <td id=\"T_015f1_row44_col0\" class=\"data row44 col0\" >4348</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row45\" class=\"row_heading level0 row45\" >11fa59b18892d70b03751701eff1707495ccf618</th>\n                        <td id=\"T_015f1_row45_col0\" class=\"data row45 col0\" >4323</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row46\" class=\"row_heading level0 row46\" >cee7bafc23017e9de7cc9f69a04a4e1348d29ace</th>\n                        <td id=\"T_015f1_row46_col0\" class=\"data row46 col0\" >4323</td>\n            </tr>\n            <tr>\n                    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                      <td id=\"T_015f1_row54_col0\" class=\"data row54 col0\" >4196</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row55\" class=\"row_heading level0 row55\" >903387b11fbfeedf3408343673fd54ffa6efb970</th>\n                        <td id=\"T_015f1_row55_col0\" class=\"data row55 col0\" >4196</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row56\" class=\"row_heading level0 row56\" >000840e5c600de293cea57f13326f273c86c3988</th>\n                        <td id=\"T_015f1_row56_col0\" class=\"data row56 col0\" >4193</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row57\" class=\"row_heading level0 row57\" >3a25cb6ba0c7bf52d8abf6a5279a659dd03aeea0</th>\n                        <td id=\"T_015f1_row57_col0\" class=\"data row57 col0\" >4192</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row58\" class=\"row_heading level0 row58\" >76b8b1ae2dda171dbe5f1923d66f9ccc839ef32d</th>\n                        <td id=\"T_015f1_row58_col0\" class=\"data row58 col0\" >4177</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row59\" class=\"row_heading level0 row59\" >bd9bc0a2092c040bfe6ba12f8aafac24e83b312a</th>\n                        <td id=\"T_015f1_row59_col0\" class=\"data row59 col0\" >4173</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row60\" class=\"row_heading level0 row60\" >da6f98ad244984d9aa9061b7a4c5a23dfcfd9276</th>\n                        <td id=\"T_015f1_row60_col0\" class=\"data row60 col0\" >4172</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row61\" class=\"row_heading level0 row61\" >d3120ebc132280d9a4db66cf58895c8f22a8c90b</th>\n                        <td id=\"T_015f1_row61_col0\" class=\"data row61 col0\" >4157</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row62\" class=\"row_heading level0 row62\" >d5ef388e09524518ba9dcddc32e638c32c12c1c0</th>\n                        <td id=\"T_015f1_row62_col0\" class=\"data row62 col0\" >4154</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row63\" class=\"row_heading level0 row63\" >6915ad24a2edf8047f749233e19e9853f5dc17fd</th>\n                        <td id=\"T_015f1_row63_col0\" class=\"data row63 col0\" >4154</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row64\" class=\"row_heading level0 row64\" >f64c13fd10a07bca1bf2b7bd7a80630632ce62c9</th>\n                        <td id=\"T_015f1_row64_col0\" class=\"data row64 col0\" >4152</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row65\" class=\"row_heading level0 row65\" >15705627b6d4a0995188c4a97eb3bb604abcc401</th>\n                        <td id=\"T_015f1_row65_col0\" class=\"data row65 col0\" >4152</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row66\" class=\"row_heading level0 row66\" >326e159e0dbace167726287290620e11367bb15a</th>\n                        <td id=\"T_015f1_row66_col0\" class=\"data row66 col0\" >4149</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row67\" class=\"row_heading level0 row67\" >15d53b7189ffbd7c6010c388a9ccea417d4f28ee</th>\n                        <td id=\"T_015f1_row67_col0\" class=\"data row67 col0\" >4137</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row68\" class=\"row_heading level0 row68\" >7969541b4a6e4aedb64983b046fc8bdae157dc97</th>\n                        <td id=\"T_015f1_row68_col0\" class=\"data row68 col0\" >4132</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row69\" class=\"row_heading level0 row69\" >0c75aad30012f215ae9377700feb44ee1ce42b88</th>\n                        <td id=\"T_015f1_row69_col0\" class=\"data row69 col0\" >4131</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row70\" class=\"row_heading level0 row70\" >1d1d62dcf72481cc9580fed3b724f0d27015aaf1</th>\n                        <td id=\"T_015f1_row70_col0\" class=\"data row70 col0\" >4111</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row71\" class=\"row_heading level0 row71\" >39e2a4fb550a6b4a0feb5f0ff7b07754b1e27eaa</th>\n                        <td id=\"T_015f1_row71_col0\" class=\"data row71 col0\" >4092</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row72\" class=\"row_heading level0 row72\" >de53ffe7e3c71c9ed5c845fa50e0521efa5f3685</th>\n                        <td id=\"T_015f1_row72_col0\" class=\"data row72 col0\" >4081</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row73\" class=\"row_heading level0 row73\" >6c06bc0eb391695a8df55e3106b829fccd887f10</th>\n                        <td id=\"T_015f1_row73_col0\" class=\"data row73 col0\" >4056</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row74\" class=\"row_heading level0 row74\" >8b3c0b4adecdc3281c15a824690f5bdf8563ad82</th>\n                        <td id=\"T_015f1_row74_col0\" class=\"data row74 col0\" >4043</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row75\" class=\"row_heading level0 row75\" >defb1317debff80bbec8fcdb53132edf3988ba93</th>\n                        <td id=\"T_015f1_row75_col0\" class=\"data row75 col0\" >3979</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row76\" class=\"row_heading level0 row76\" >c79035b2f27644be5bd748bff59297f28803fae1</th>\n                        <td id=\"T_015f1_row76_col0\" class=\"data row76 col0\" >3975</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row77\" class=\"row_heading level0 row77\" >0e5a262402b8c9d98a3b5a424863f6a6c655ab98</th>\n                        <td id=\"T_015f1_row77_col0\" class=\"data row77 col0\" >3973</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row78\" class=\"row_heading level0 row78\" >16dafadc5697e59f75664e1ba248486eaef2a782</th>\n                        <td id=\"T_015f1_row78_col0\" class=\"data row78 col0\" >3972</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row79\" class=\"row_heading level0 row79\" >688a2ecf1f543651ec563d2c397b137baf8d39ea</th>\n                        <td id=\"T_015f1_row79_col0\" class=\"data row79 col0\" >3961</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row80\" class=\"row_heading level0 row80\" >9ea330be4787b838d931c30f76aa9eb4ab69367e</th>\n                        <td id=\"T_015f1_row80_col0\" class=\"data row80 col0\" >3954</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row81\" class=\"row_heading level0 row81\" >6daa34883d9b44405f1db9e78e2a9618340bfe03</th>\n                        <td id=\"T_015f1_row81_col0\" class=\"data row81 col0\" >3954</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row82\" class=\"row_heading level0 row82\" >14bc29d59e0046cc7d5ce53054f702da18f37c53</th>\n                        <td id=\"T_015f1_row82_col0\" class=\"data row82 col0\" >3940</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row83\" class=\"row_heading level0 row83\" >5ded3c04560f13fd035124da9e887353e2038287</th>\n                        <td id=\"T_015f1_row83_col0\" class=\"data row83 col0\" >3919</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row84\" class=\"row_heading level0 row84\" >0c9ac4089f6dcdd7933d6ddc7a3551a67f7549c4</th>\n                        <td id=\"T_015f1_row84_col0\" class=\"data row84 col0\" >3912</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row85\" class=\"row_heading level0 row85\" >c6d8196cc9905774ff0a0dd0956df2206eba14ca</th>\n                        <td id=\"T_015f1_row85_col0\" class=\"data row85 col0\" >3911</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row86\" class=\"row_heading level0 row86\" >a5e1764311f9cefac840d655421dd657cd230c42</th>\n                        <td id=\"T_015f1_row86_col0\" class=\"data row86 col0\" >3889</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row87\" class=\"row_heading level0 row87\" >5731a1cd721379cb00ca17b7fcacef1252c003b8</th>\n                        <td id=\"T_015f1_row87_col0\" class=\"data row87 col0\" >3881</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row88\" class=\"row_heading level0 row88\" >3ddbf6a9b2084721cd633523afa18ff69d03aed9</th>\n                        <td id=\"T_015f1_row88_col0\" class=\"data row88 col0\" >3875</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row89\" class=\"row_heading level0 row89\" >44632b2065e713e44db3479c9cea158b0d7d7b02</th>\n                        <td id=\"T_015f1_row89_col0\" class=\"data row89 col0\" >3874</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row90\" class=\"row_heading level0 row90\" >6b14a2044dbc040d8c5a1db2a984bf8312f7e1b0</th>\n                        <td id=\"T_015f1_row90_col0\" class=\"data row90 col0\" >3866</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row91\" class=\"row_heading level0 row91\" >91f6bfbc72885ff91266257929f3e701ac8d9d92</th>\n                        <td id=\"T_015f1_row91_col0\" class=\"data row91 col0\" >3860</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row92\" class=\"row_heading level0 row92\" >fc08b98693eaf49070af0be567348e447ec8be9e</th>\n                        <td id=\"T_015f1_row92_col0\" class=\"data row92 col0\" >3833</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row93\" class=\"row_heading level0 row93\" >3894fd2dc629a96e16049f951be6b018ff627940</th>\n                        <td id=\"T_015f1_row93_col0\" class=\"data row93 col0\" >3804</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row94\" class=\"row_heading level0 row94\" >815627a3e3ef0cf88ae51cd0376df58080f09983</th>\n                        <td id=\"T_015f1_row94_col0\" class=\"data row94 col0\" >3797</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row95\" class=\"row_heading level0 row95\" >bb5eb71d81285e23bcf69f0e7a72af02eb356587</th>\n                        <td id=\"T_015f1_row95_col0\" class=\"data row95 col0\" >3796</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row96\" class=\"row_heading level0 row96\" >1f2eb6a4fe21ce42ff5d8184f78bc0e97f6a121f</th>\n                        <td id=\"T_015f1_row96_col0\" class=\"data row96 col0\" >3787</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row97\" class=\"row_heading level0 row97\" >69b30a314f33a8bafe26c9543bac3026b6171e18</th>\n                        <td id=\"T_015f1_row97_col0\" class=\"data row97 col0\" >3785</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row98\" class=\"row_heading level0 row98\" >6cec3a2eb9d9bba5a48ab33bd040479ffda9d1ce</th>\n                        <td id=\"T_015f1_row98_col0\" class=\"data row98 col0\" >3766</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row99\" class=\"row_heading level0 row99\" >50354dce4504e2e95b814a2680e8f35d70ad810f</th>\n                        <td id=\"T_015f1_row99_col0\" class=\"data row99 col0\" >3752</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row100\" class=\"row_heading level0 row100\" >679c0df4f6248f3003ce0011779e5cca7903e668</th>\n                        <td id=\"T_015f1_row100_col0\" class=\"data row100 col0\" >3747</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row101\" class=\"row_heading level0 row101\" >345c70f0084ce5d54046a6939257931f641edf65</th>\n                        <td id=\"T_015f1_row101_col0\" class=\"data row101 col0\" >3746</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row102\" class=\"row_heading level0 row102\" >6316fc52678b869c908390f9bd12345bcf07052e</th>\n                        <td id=\"T_015f1_row102_col0\" class=\"data row102 col0\" >3727</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row103\" class=\"row_heading level0 row103\" >7eb1b6f432993717eedf721ae6b24b18ace3a44c</th>\n                        <td id=\"T_015f1_row103_col0\" class=\"data row103 col0\" >3724</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row104\" class=\"row_heading level0 row104\" >d1671e9a665dfac958e3cfa8cf5c40fb4e7c9b4f</th>\n                        <td id=\"T_015f1_row104_col0\" class=\"data row104 col0\" >3719</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row105\" class=\"row_heading level0 row105\" >a85a1a11f0a55266e9d3da10dd44cd020eb6770e</th>\n                        <td id=\"T_015f1_row105_col0\" class=\"data row105 col0\" >3711</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row106\" class=\"row_heading level0 row106\" >7fc586091374052f653d79dba9e5b10fdf5871f9</th>\n                        <td id=\"T_015f1_row106_col0\" class=\"data row106 col0\" >3701</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row107\" class=\"row_heading level0 row107\" >e85375d18b255f0b61986993c1c829203d470026</th>\n                        <td id=\"T_015f1_row107_col0\" class=\"data row107 col0\" >3697</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row108\" class=\"row_heading level0 row108\" >6d30c48e55ab600a4e8590c4c2a68add35a4c472</th>\n                        <td id=\"T_015f1_row108_col0\" class=\"data row108 col0\" >3686</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row109\" class=\"row_heading level0 row109\" >9395f3c51c3efbd27914a5738950d7f9c1de0888</th>\n                        <td id=\"T_015f1_row109_col0\" class=\"data row109 col0\" >3685</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row110\" class=\"row_heading level0 row110\" >ea4208f40a36b18be923fcd5adb59b250d9cef96</th>\n                        <td id=\"T_015f1_row110_col0\" class=\"data row110 col0\" >3684</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row111\" class=\"row_heading level0 row111\" >cd9ee63b982cd8b78437a26d9b2f832d6b642e20</th>\n                        <td id=\"T_015f1_row111_col0\" class=\"data row111 col0\" >3674</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row112\" class=\"row_heading level0 row112\" >d26d3ceadd71540201e65658a307db95295dee25</th>\n                        <td id=\"T_015f1_row112_col0\" class=\"data row112 col0\" >3667</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row113\" class=\"row_heading level0 row113\" >8130c3c8e8c3225d872c2a4df99c7518067632eb</th>\n                        <td id=\"T_015f1_row113_col0\" class=\"data row113 col0\" >3662</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row114\" class=\"row_heading level0 row114\" >9a26d1e00217c44f9cff5628043c9d77c8e75c90</th>\n                        <td id=\"T_015f1_row114_col0\" class=\"data row114 col0\" >3650</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row115\" class=\"row_heading level0 row115\" >2f08d0bea553aef451c65b4de64cd36339fb098f</th>\n                        <td id=\"T_015f1_row115_col0\" class=\"data row115 col0\" >3646</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row116\" class=\"row_heading level0 row116\" >a580dc48670c1fa937880a119044c68e5292686a</th>\n                        <td id=\"T_015f1_row116_col0\" class=\"data row116 col0\" >3645</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row117\" class=\"row_heading level0 row117\" >19165c986d0ae8c4b34590617cdbf6568d808930</th>\n                        <td id=\"T_015f1_row117_col0\" class=\"data row117 col0\" >3642</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row118\" class=\"row_heading level0 row118\" >3f55f400dfbc4f9bc3528feeb15c7ad39208ccb2</th>\n                        <td id=\"T_015f1_row118_col0\" class=\"data row118 col0\" >3606</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row119\" class=\"row_heading level0 row119\" >0e005683e100c08b4b74c76e6392c3dd86490690</th>\n                        <td id=\"T_015f1_row119_col0\" class=\"data row119 col0\" >3603</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row120\" class=\"row_heading level0 row120\" >ef8edb79e602536229e73a67abad10d72382ce19</th>\n                        <td id=\"T_015f1_row120_col0\" class=\"data row120 col0\" >3590</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row121\" class=\"row_heading level0 row121\" >d8862ba8e2b0988b0cd4fc371c7d68f32e391720</th>\n                        <td id=\"T_015f1_row121_col0\" class=\"data row121 col0\" >3582</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row122\" class=\"row_heading level0 row122\" >2ab3f38e73b53269d6883b8be80da9d38a86ef9b</th>\n                        <td id=\"T_015f1_row122_col0\" class=\"data row122 col0\" >3576</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row123\" class=\"row_heading level0 row123\" >0681eb49559b2047783aa8b5cadc8501954f3b68</th>\n                        <td id=\"T_015f1_row123_col0\" class=\"data row123 col0\" >3571</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row124\" class=\"row_heading level0 row124\" >869f76279cbaf6f0520f880bef65cc1c20d36e53</th>\n                        <td id=\"T_015f1_row124_col0\" class=\"data row124 col0\" >3563</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row125\" class=\"row_heading level0 row125\" >3fea4a01d89276bb6aba87c553e06441e4fc9095</th>\n                        <td id=\"T_015f1_row125_col0\" class=\"data row125 col0\" >3563</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row126\" class=\"row_heading level0 row126\" >486b1a9d061fe44d5a1c3f28e922baad454e3f02</th>\n                        <td id=\"T_015f1_row126_col0\" class=\"data row126 col0\" >3563</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row127\" class=\"row_heading level0 row127\" >2de7db775eca5a709a31e77db60fd76e9e46911e</th>\n                        <td id=\"T_015f1_row127_col0\" class=\"data row127 col0\" >3549</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row128\" class=\"row_heading level0 row128\" >6b6c054161e0f561d43041fbda8284626c95dd25</th>\n                        <td id=\"T_015f1_row128_col0\" class=\"data row128 col0\" >3544</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row129\" class=\"row_heading level0 row129\" >48b7ba19fe5a3fea731fae64658b620005de0823</th>\n                        <td id=\"T_015f1_row129_col0\" class=\"data row129 col0\" >3530</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row130\" class=\"row_heading level0 row130\" >291c30876ff92945236fc448dc48fb628c5108c1</th>\n                        <td id=\"T_015f1_row130_col0\" class=\"data row130 col0\" >3524</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row131\" class=\"row_heading level0 row131\" >d9345dbbcdfbe20405a86fa08bf4e39cad0c93cd</th>\n                        <td id=\"T_015f1_row131_col0\" class=\"data row131 col0\" >3521</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row132\" class=\"row_heading level0 row132\" >2f69e5977adbebbb76a33cf75ba5dcf793eaf835</th>\n                        <td id=\"T_015f1_row132_col0\" class=\"data row132 col0\" >3510</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row133\" class=\"row_heading level0 row133\" >bdaef0e39a4be1fddc32bf6766b4ec4a4e1df725</th>\n                        <td id=\"T_015f1_row133_col0\" class=\"data row133 col0\" >3508</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row134\" class=\"row_heading level0 row134\" >28732583b77da2d5f2847ff928947d42cdedf7d5</th>\n                        <td id=\"T_015f1_row134_col0\" class=\"data row134 col0\" >3483</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row135\" class=\"row_heading level0 row135\" >4570a3b13d469da6e23fb35763e1307401b5ff3e</th>\n                        <td id=\"T_015f1_row135_col0\" class=\"data row135 col0\" >3483</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row136\" class=\"row_heading level0 row136\" >110ddea0853350606bc1e744fda00bfc8f8c5437</th>\n                        <td id=\"T_015f1_row136_col0\" class=\"data row136 col0\" >3480</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row137\" class=\"row_heading level0 row137\" >f9c28549a90c103c64a6ac83d8e3714b7f3e521a</th>\n                        <td id=\"T_015f1_row137_col0\" class=\"data row137 col0\" >3469</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row138\" class=\"row_heading level0 row138\" >c55c9a0ed49b5fd4be47a865f70945690139cd8e</th>\n                        <td id=\"T_015f1_row138_col0\" class=\"data row138 col0\" >3446</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row139\" class=\"row_heading level0 row139\" >78fb204176676997e44ba0e3852b5de735854342</th>\n                        <td id=\"T_015f1_row139_col0\" class=\"data row139 col0\" >3444</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row140\" class=\"row_heading level0 row140\" >08f142fccbf96e34e95e8c17442a459f429a3310</th>\n                        <td id=\"T_015f1_row140_col0\" class=\"data row140 col0\" >3429</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row141\" class=\"row_heading level0 row141\" >5e68e16875fe15e105884521db31b823a28219b9</th>\n                        <td id=\"T_015f1_row141_col0\" class=\"data row141 col0\" >3428</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row142\" class=\"row_heading level0 row142\" >088641ea2e5e631fc12f049655218de9b04b98e5</th>\n                        <td id=\"T_015f1_row142_col0\" class=\"data row142 col0\" >3428</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row143\" class=\"row_heading level0 row143\" >63eb11031a958d95443425759ebe5805dcea5e3d</th>\n                        <td id=\"T_015f1_row143_col0\" class=\"data row143 col0\" >3420</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row144\" class=\"row_heading level0 row144\" >5e78b3ceece619fc9e8660c2a78f41f0c2beec7f</th>\n                        <td id=\"T_015f1_row144_col0\" class=\"data row144 col0\" >3418</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row145\" class=\"row_heading level0 row145\" >16b00a9a9b2a6eba2df366a2404eb0d0f3d112a1</th>\n                        <td id=\"T_015f1_row145_col0\" class=\"data row145 col0\" >3417</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row146\" class=\"row_heading level0 row146\" >0874d30f54b9b73fc02e8dc90f6b24c20ddb0132</th>\n                        <td id=\"T_015f1_row146_col0\" class=\"data row146 col0\" >3416</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row147\" class=\"row_heading level0 row147\" >4c855e83713c01e6a46a1669db047dca05320474</th>\n                        <td id=\"T_015f1_row147_col0\" class=\"data row147 col0\" >3414</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row148\" class=\"row_heading level0 row148\" >17abef1a35c19c0506e685cdb6c61d904c654c61</th>\n                        <td id=\"T_015f1_row148_col0\" class=\"data row148 col0\" >3413</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row149\" class=\"row_heading level0 row149\" >6e2e49f898f360b818869ecd5c2d8298d0360763</th>\n                        <td id=\"T_015f1_row149_col0\" class=\"data row149 col0\" >3408</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row150\" class=\"row_heading level0 row150\" >5d38a298f926cd7336b2f86a9e1be1ad06fa869d</th>\n                        <td id=\"T_015f1_row150_col0\" class=\"data row150 col0\" >3402</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row151\" class=\"row_heading level0 row151\" >c38d58b8e3250841dbc5f34ae98431e7402add93</th>\n                        <td id=\"T_015f1_row151_col0\" class=\"data row151 col0\" >3386</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row152\" class=\"row_heading level0 row152\" >a1f7714ed8ee129ff9196087b971929ff9cdd07d</th>\n                        <td id=\"T_015f1_row152_col0\" class=\"data row152 col0\" >3386</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row153\" class=\"row_heading level0 row153\" >f06d8a77df90309662c6a62b4c92bf0f624f9580</th>\n                        <td id=\"T_015f1_row153_col0\" class=\"data row153 col0\" >3382</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row154\" class=\"row_heading level0 row154\" >ac373687e24203f13e7bcf2b994316037d05f5a1</th>\n                        <td id=\"T_015f1_row154_col0\" class=\"data row154 col0\" >3379</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row155\" class=\"row_heading level0 row155\" >6ee1dc249422a7d7a47987eea4188c5f3fdedb76</th>\n                        <td id=\"T_015f1_row155_col0\" class=\"data row155 col0\" >3378</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row156\" class=\"row_heading level0 row156\" >6e102b9ee61aa8028fe0a95e87f3dc386010e0e2</th>\n                        <td id=\"T_015f1_row156_col0\" class=\"data row156 col0\" >3377</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row157\" class=\"row_heading level0 row157\" >e11207e4d38391623e8a73461dea4612b6d348c2</th>\n                        <td id=\"T_015f1_row157_col0\" class=\"data row157 col0\" >3375</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row158\" class=\"row_heading level0 row158\" >fdf37fa13679f581bdfaae3b99e368633e0a144b</th>\n                        <td id=\"T_015f1_row158_col0\" class=\"data row158 col0\" >3375</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row159\" class=\"row_heading level0 row159\" >3419af56cd3a9290bcf16c888777961741c8ec28</th>\n                        <td id=\"T_015f1_row159_col0\" class=\"data row159 col0\" >3373</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row160\" class=\"row_heading level0 row160\" >f0386c68fadad2c008c746e2acfaf6bdb7bc0fd9</th>\n                        <td id=\"T_015f1_row160_col0\" class=\"data row160 col0\" >3372</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row161\" class=\"row_heading level0 row161\" >63d0d455f48e2be51297f1e695fadde7c49a7025</th>\n                        <td id=\"T_015f1_row161_col0\" class=\"data row161 col0\" >3372</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row162\" class=\"row_heading level0 row162\" >19787b1ee33ac886f9784105b5da6548d838195c</th>\n                        <td id=\"T_015f1_row162_col0\" class=\"data row162 col0\" >3372</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row163\" class=\"row_heading level0 row163\" >0e2250a84319bd6fb557786aa36b3c329f9b4fd1</th>\n                        <td id=\"T_015f1_row163_col0\" class=\"data row163 col0\" >3365</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row164\" class=\"row_heading level0 row164\" >993675a9a48d090babd1a33fbee5f088ef7c73dd</th>\n                        <td id=\"T_015f1_row164_col0\" class=\"data row164 col0\" >3364</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row165\" class=\"row_heading level0 row165\" >dd65bd54b10548c410dedc4839baf4f99ed4e8f8</th>\n                        <td id=\"T_015f1_row165_col0\" class=\"data row165 col0\" >3361</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row166\" class=\"row_heading level0 row166\" >b6d159940a3525d560d1aa0581293960c0766dc2</th>\n                        <td id=\"T_015f1_row166_col0\" class=\"data row166 col0\" >3350</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row167\" class=\"row_heading level0 row167\" >8eb7c9848aa1e78b0da3b6f9f4f730885b0cd4f0</th>\n                        <td id=\"T_015f1_row167_col0\" class=\"data row167 col0\" >3350</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row168\" class=\"row_heading level0 row168\" >31fb3a7ff1d2cbbb58e8b8e28a3833ed13186c20</th>\n                        <td id=\"T_015f1_row168_col0\" class=\"data row168 col0\" >3344</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row169\" class=\"row_heading level0 row169\" >b9432300de5aa9b5582a1d4603e541819d4991ce</th>\n                        <td id=\"T_015f1_row169_col0\" class=\"data row169 col0\" >3343</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row170\" class=\"row_heading level0 row170\" >6729afdb470f55f886bfbab90cbfa0830a2bb75f</th>\n                        <td id=\"T_015f1_row170_col0\" class=\"data row170 col0\" >3339</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row171\" class=\"row_heading level0 row171\" >c5a0dc2fd03e99e26963fcd5918c398577e50669</th>\n                        <td id=\"T_015f1_row171_col0\" class=\"data row171 col0\" >3335</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row172\" class=\"row_heading level0 row172\" >f0eb8e099777a084f99eabefe449833b2bd25876</th>\n                        <td id=\"T_015f1_row172_col0\" class=\"data row172 col0\" >3335</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row173\" class=\"row_heading level0 row173\" >2caf39807897e4577f271ec67e5701eb36101b2c</th>\n                        <td id=\"T_015f1_row173_col0\" class=\"data row173 col0\" >3334</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row174\" class=\"row_heading level0 row174\" >76be4331334efa1ab2038e98b71458f6168fdaba</th>\n                        <td id=\"T_015f1_row174_col0\" class=\"data row174 col0\" >3333</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row175\" class=\"row_heading level0 row175\" >ce3243f4a093f9959b5b377bcfb465c507bb7940</th>\n                        <td id=\"T_015f1_row175_col0\" class=\"data row175 col0\" >3319</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row176\" class=\"row_heading level0 row176\" >fdc19f011587b75c11a6c30d8ca06d90107b6bde</th>\n                        <td id=\"T_015f1_row176_col0\" class=\"data row176 col0\" >3318</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row177\" class=\"row_heading level0 row177\" >60f6d22eb3deec6dab7a568e0e0486c09cdd6a7b</th>\n                        <td id=\"T_015f1_row177_col0\" class=\"data row177 col0\" >3317</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row178\" class=\"row_heading level0 row178\" >4074d3eca583baf4fc03a0c0d1d6ae3f6c18f448</th>\n                        <td id=\"T_015f1_row178_col0\" class=\"data row178 col0\" >3317</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row179\" class=\"row_heading level0 row179\" >c138892cffe41574f10daf3e50662b9b87c45b78</th>\n                        <td id=\"T_015f1_row179_col0\" class=\"data row179 col0\" >3315</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row180\" class=\"row_heading level0 row180\" >60ba7403a1a1c27c1d28780bbd48980c16cc894d</th>\n                        <td id=\"T_015f1_row180_col0\" class=\"data row180 col0\" >3314</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row181\" class=\"row_heading level0 row181\" >3ce53e146c68925e9e5c8871d5f453f35b016c69</th>\n                        <td id=\"T_015f1_row181_col0\" class=\"data row181 col0\" >3313</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row182\" class=\"row_heading level0 row182\" >e0842697e2c12ca915788d2ffb7045422a044125</th>\n                        <td id=\"T_015f1_row182_col0\" class=\"data row182 col0\" >3311</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row183\" class=\"row_heading level0 row183\" >707a33db19f2064df5f4e9f03dbb439aff81fbea</th>\n                        <td id=\"T_015f1_row183_col0\" class=\"data row183 col0\" >3305</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row184\" class=\"row_heading level0 row184\" >230b0585ecc40e716b7327b977d7f1d357558bf7</th>\n                        <td id=\"T_015f1_row184_col0\" class=\"data row184 col0\" >3305</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row185\" class=\"row_heading level0 row185\" >524632cb8ad6d175f10c530411e02950474d5cc5</th>\n                        <td id=\"T_015f1_row185_col0\" class=\"data row185 col0\" >3305</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row186\" class=\"row_heading level0 row186\" >680ccefeb88f88e82c6d3b277490a4390d5dbcda</th>\n                        <td id=\"T_015f1_row186_col0\" class=\"data row186 col0\" >3282</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row187\" class=\"row_heading level0 row187\" >a95ab29a85dd9d8dd4b8915af56a184b2da8a66f</th>\n                        <td id=\"T_015f1_row187_col0\" class=\"data row187 col0\" >3281</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row188\" class=\"row_heading level0 row188\" >5dfed06a2dc471b7c159ce9176da2ffe187fa478</th>\n                        <td id=\"T_015f1_row188_col0\" class=\"data row188 col0\" >3275</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row189\" class=\"row_heading level0 row189\" >f3e26cef2e2eefbcca02f9ca07bca97d900b0d3d</th>\n                        <td id=\"T_015f1_row189_col0\" class=\"data row189 col0\" >3270</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row190\" class=\"row_heading level0 row190\" >f2eb513d4c87747d0e4bc8c3bbf12951b3819678</th>\n                        <td id=\"T_015f1_row190_col0\" class=\"data row190 col0\" >3262</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row191\" class=\"row_heading level0 row191\" >6cd94cc5251afe872b089db662b5da88bd482af5</th>\n                        <td id=\"T_015f1_row191_col0\" class=\"data row191 col0\" >3259</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row192\" class=\"row_heading level0 row192\" >2b8287e26eaa418c6bcbf570d4b45ce939b57713</th>\n                        <td id=\"T_015f1_row192_col0\" class=\"data row192 col0\" >3256</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row193\" class=\"row_heading level0 row193\" >39648d81b21198da0f317efade93c2e7cff7f45f</th>\n                        <td id=\"T_015f1_row193_col0\" class=\"data row193 col0\" >3255</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row194\" class=\"row_heading level0 row194\" >2316d69de2343b00b2ca25e28e2a7b2224bfaf9d</th>\n                        <td id=\"T_015f1_row194_col0\" class=\"data row194 col0\" >3251</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row195\" class=\"row_heading level0 row195\" >3f15e2a8a621434970309b3caf94b09778caa8ab</th>\n                        <td id=\"T_015f1_row195_col0\" class=\"data row195 col0\" >3243</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row196\" class=\"row_heading level0 row196\" >56ed070a755a17100ff90bd5177dc60320df2ed4</th>\n                        <td id=\"T_015f1_row196_col0\" class=\"data row196 col0\" >3232</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row197\" class=\"row_heading level0 row197\" >abbe647f316b4be25d3d4255254bae3b0e3eef1a</th>\n                        <td id=\"T_015f1_row197_col0\" class=\"data row197 col0\" >3232</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row198\" class=\"row_heading level0 row198\" >47d81bd48afba5ab715e3471c7e93a5d5da3d739</th>\n                        <td id=\"T_015f1_row198_col0\" class=\"data row198 col0\" >3230</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row199\" class=\"row_heading level0 row199\" >3520a54bb4efb13307fc259eec13fa1b53931949</th>\n                        <td id=\"T_015f1_row199_col0\" class=\"data row199 col0\" >3228</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row200\" class=\"row_heading level0 row200\" >f74f03f0a98f2ab70558421579e38b20744db160</th>\n                        <td id=\"T_015f1_row200_col0\" class=\"data row200 col0\" >3220</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row201\" class=\"row_heading level0 row201\" >fb61c720398cb95914f05f1abe37f51eee51279f</th>\n                        <td id=\"T_015f1_row201_col0\" class=\"data row201 col0\" >3208</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row202\" class=\"row_heading level0 row202\" >8ce477a21ccc45347bf45921ed59aede4f21866f</th>\n                        <td id=\"T_015f1_row202_col0\" class=\"data row202 col0\" >3194</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row203\" class=\"row_heading level0 row203\" >ce59894c664b182ff4d1835ded5484abbdd95ff3</th>\n                        <td id=\"T_015f1_row203_col0\" class=\"data row203 col0\" >3178</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row204\" class=\"row_heading level0 row204\" >e7a1ec11c8b1f30a96b138b3ac0af77557a19940</th>\n                        <td id=\"T_015f1_row204_col0\" class=\"data row204 col0\" >3146</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row205\" class=\"row_heading level0 row205\" >6cf97f69219bb10641cb698a44d914c27d00b826</th>\n                        <td id=\"T_015f1_row205_col0\" class=\"data row205 col0\" >3126</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row206\" class=\"row_heading level0 row206\" >fa7b75889de09bd19ffc91c2e7e263e264c4737a</th>\n                        <td id=\"T_015f1_row206_col0\" class=\"data row206 col0\" >3122</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row207\" class=\"row_heading level0 row207\" >3398f458283d8e32c17efd2838afc3815a810848</th>\n                        <td id=\"T_015f1_row207_col0\" class=\"data row207 col0\" >3121</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row208\" class=\"row_heading level0 row208\" >4f186cc01487f44870a0b07a70f6d2205e515763</th>\n                        <td id=\"T_015f1_row208_col0\" class=\"data row208 col0\" >3121</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row209\" class=\"row_heading level0 row209\" >e1352ccfe753212cba20c9abc430fd81a34101da</th>\n                        <td id=\"T_015f1_row209_col0\" class=\"data row209 col0\" >3120</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row210\" class=\"row_heading level0 row210\" >d591d16d8b876cea51f8fe9417dd8cac49e69321</th>\n                        <td id=\"T_015f1_row210_col0\" class=\"data row210 col0\" >3111</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row211\" class=\"row_heading level0 row211\" >f4ce227d1b64d7a4877cb1f3425b664221f6006c</th>\n                        <td id=\"T_015f1_row211_col0\" class=\"data row211 col0\" >3103</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row212\" class=\"row_heading level0 row212\" >46ea5bf55e1433fedfc9c87fdcf83c42e6a79094</th>\n                        <td id=\"T_015f1_row212_col0\" class=\"data row212 col0\" >3100</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row213\" class=\"row_heading level0 row213\" >37ae76152bff78531ea027d6121d452881f184c2</th>\n                        <td id=\"T_015f1_row213_col0\" class=\"data row213 col0\" >3092</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row214\" class=\"row_heading level0 row214\" >56f11dfcffc802e26be318861d54a0cc0e98e307</th>\n                        <td id=\"T_015f1_row214_col0\" class=\"data row214 col0\" >3091</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row215\" class=\"row_heading level0 row215\" >a02030ba2c52e189962667264615a5d397c26138</th>\n                        <td id=\"T_015f1_row215_col0\" class=\"data row215 col0\" >3061</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row216\" class=\"row_heading level0 row216\" >957c9a0b84043ae76dbf8847c0afc30024457316</th>\n                        <td id=\"T_015f1_row216_col0\" class=\"data row216 col0\" >3058</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row217\" class=\"row_heading level0 row217\" >a0713125f7ace6d2824f5e509fe35cce089b07b9</th>\n                        <td id=\"T_015f1_row217_col0\" class=\"data row217 col0\" >3024</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row218\" class=\"row_heading level0 row218\" >7a5350fe426e87fb255031d43df2472391688644</th>\n                        <td id=\"T_015f1_row218_col0\" class=\"data row218 col0\" >3020</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row219\" class=\"row_heading level0 row219\" >bd4047f64bdaee620cc69bd75c89928c3dfda9e5</th>\n                        <td id=\"T_015f1_row219_col0\" class=\"data row219 col0\" >3014</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row220\" class=\"row_heading level0 row220\" >cf2127077d54af84e6a8d00e39666afa7494567e</th>\n                        <td id=\"T_015f1_row220_col0\" class=\"data row220 col0\" >3004</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row221\" class=\"row_heading level0 row221\" >01e25e4a25acd32baf5137b3031151f751fadbb4</th>\n                        <td id=\"T_015f1_row221_col0\" class=\"data row221 col0\" >3004</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row222\" class=\"row_heading level0 row222\" >adba3541c99ad8d47b04ee38e15783f853658bbb</th>\n                        <td id=\"T_015f1_row222_col0\" class=\"data row222 col0\" >3000</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row223\" class=\"row_heading level0 row223\" >9f4eba14511679b6b25a13f2aedae4df3a6feee2</th>\n                        <td id=\"T_015f1_row223_col0\" class=\"data row223 col0\" >2999</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row224\" class=\"row_heading level0 row224\" >bf1c60d6a1cf67238b231535b6b9a4f903ecd408</th>\n                        <td id=\"T_015f1_row224_col0\" class=\"data row224 col0\" >2998</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row225\" class=\"row_heading level0 row225\" >b9b5302a4c0a7261036a2d611d92aea3ae4d6a27</th>\n                        <td id=\"T_015f1_row225_col0\" class=\"data row225 col0\" >2979</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row226\" class=\"row_heading level0 row226\" >eb5a1eee1abef853de4844a4ffb945c5f0a55523</th>\n                        <td id=\"T_015f1_row226_col0\" class=\"data row226 col0\" >2967</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row227\" class=\"row_heading level0 row227\" >5a96e1418a8278183021eb04f6f8a5f79c2c5914</th>\n                        <td id=\"T_015f1_row227_col0\" class=\"data row227 col0\" >2965</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row228\" class=\"row_heading level0 row228\" >a11475a06476cdb335d6a4f68020a7cb5fd3c732</th>\n                        <td id=\"T_015f1_row228_col0\" class=\"data row228 col0\" >2948</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row229\" class=\"row_heading level0 row229\" >7e8ea22e8ebf91a2c2887c78c709971b22e4a8f1</th>\n                        <td id=\"T_015f1_row229_col0\" class=\"data row229 col0\" >2946</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row230\" class=\"row_heading level0 row230\" >e6da08a7a45bef7bcd5c74a4f13243dcf55d4d92</th>\n                        <td id=\"T_015f1_row230_col0\" class=\"data row230 col0\" >2920</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row231\" class=\"row_heading level0 row231\" >b42376db2f3421b282eaa7a344545193b1e41a92</th>\n                        <td id=\"T_015f1_row231_col0\" class=\"data row231 col0\" >2898</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row232\" class=\"row_heading level0 row232\" >e842590129de4642a47110ed7701864f33b18337</th>\n                        <td id=\"T_015f1_row232_col0\" class=\"data row232 col0\" >2885</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row233\" class=\"row_heading level0 row233\" >0a670fddca113cc7a87dbadd903190dd6d22c75d</th>\n                        <td id=\"T_015f1_row233_col0\" class=\"data row233 col0\" >2877</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row234\" class=\"row_heading level0 row234\" >c6af4eff151019147f188b80f153ab1f8f8f3533</th>\n                        <td id=\"T_015f1_row234_col0\" class=\"data row234 col0\" >2873</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row235\" class=\"row_heading level0 row235\" >99582d0c318672b5ad49259b5edb238340a38c16</th>\n                        <td id=\"T_015f1_row235_col0\" class=\"data row235 col0\" >2862</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row236\" class=\"row_heading level0 row236\" >183d60ee138d2bfc731545046c9b6afd81194fa5</th>\n                        <td id=\"T_015f1_row236_col0\" class=\"data row236 col0\" >2854</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row237\" class=\"row_heading level0 row237\" >68a30ff9cbd5bc57dcfaa484fa178f24e8a57128</th>\n                        <td id=\"T_015f1_row237_col0\" class=\"data row237 col0\" >2844</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row238\" class=\"row_heading level0 row238\" >186716ceefe9b26f5fde1ba4a00e0edbb83f0d04</th>\n                        <td id=\"T_015f1_row238_col0\" class=\"data row238 col0\" >2843</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row239\" class=\"row_heading level0 row239\" >80531dc75db42ed60fe5bdfe591d751ffbb35aa2</th>\n                        <td id=\"T_015f1_row239_col0\" class=\"data row239 col0\" >2814</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row240\" class=\"row_heading level0 row240\" >f30f20de559f927e13c611e63bed14b1e22153fe</th>\n                        <td id=\"T_015f1_row240_col0\" class=\"data row240 col0\" >2814</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row241\" class=\"row_heading level0 row241\" >39700eec08c8413ec97e05b3e2df689ddd8b34b4</th>\n                        <td id=\"T_015f1_row241_col0\" class=\"data row241 col0\" >2801</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row242\" class=\"row_heading level0 row242\" >c94d4ade874c71673a8cfa83db0bd63cf50d58e0</th>\n                        <td id=\"T_015f1_row242_col0\" class=\"data row242 col0\" >2783</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row243\" class=\"row_heading level0 row243\" >5f6868dd5e53b0b7943c7c0e56f1563ac3babeab</th>\n                        <td id=\"T_015f1_row243_col0\" class=\"data row243 col0\" >2780</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row244\" class=\"row_heading level0 row244\" >c236cb5a525430ecff488e4f496408d7cd8aac91</th>\n                        <td id=\"T_015f1_row244_col0\" class=\"data row244 col0\" >2773</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row245\" class=\"row_heading level0 row245\" >661ef3ef6c6c03d166a083e05ad508dfb3c20d72</th>\n                        <td id=\"T_015f1_row245_col0\" class=\"data row245 col0\" >2770</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row246\" class=\"row_heading level0 row246\" >9b89977c81c4c38bf39e25ec5437a49871cf4c31</th>\n                        <td id=\"T_015f1_row246_col0\" class=\"data row246 col0\" >2769</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row247\" class=\"row_heading level0 row247\" >500f56d1499008047d41c74dc7f5b81de763e901</th>\n                        <td id=\"T_015f1_row247_col0\" class=\"data row247 col0\" >2754</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row248\" class=\"row_heading level0 row248\" >6a46fe0867e81303bf6c477b739d49bd53096a85</th>\n                        <td id=\"T_015f1_row248_col0\" class=\"data row248 col0\" >2754</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row249\" class=\"row_heading level0 row249\" >88f3338da2764fa2ad20177ee7a06b04d316171f</th>\n                        <td id=\"T_015f1_row249_col0\" class=\"data row249 col0\" >2754</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row250\" class=\"row_heading level0 row250\" >1ec5e4ca2c856b82dd0b298e8c4382d79de95e21</th>\n                        <td id=\"T_015f1_row250_col0\" class=\"data row250 col0\" >2749</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row251\" class=\"row_heading level0 row251\" >881dc237bc6067d8428ad3cb590315d01c80c743</th>\n                        <td id=\"T_015f1_row251_col0\" class=\"data row251 col0\" >2749</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row252\" class=\"row_heading level0 row252\" >38ba6e95e652a4a220c0582ac5a97be219a3d997</th>\n                        <td id=\"T_015f1_row252_col0\" class=\"data row252 col0\" >2746</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row253\" class=\"row_heading level0 row253\" >2da1116ecbe23411192c3fab31bb6fb812f267fb</th>\n                        <td id=\"T_015f1_row253_col0\" class=\"data row253 col0\" >2741</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row254\" class=\"row_heading level0 row254\" >bbf1e71834f60885aacf4d9f187242f7dd990437</th>\n                        <td id=\"T_015f1_row254_col0\" class=\"data row254 col0\" >2738</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row255\" class=\"row_heading level0 row255\" >0482b38bf4daa9243fff612a2594d8206fde8fd5</th>\n                        <td id=\"T_015f1_row255_col0\" class=\"data row255 col0\" >2729</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row256\" class=\"row_heading level0 row256\" >1c8e3ea2ec9808edfe25e8c3eb6fb2ee4bfd7c16</th>\n                        <td id=\"T_015f1_row256_col0\" class=\"data row256 col0\" >2724</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row257\" class=\"row_heading level0 row257\" >1bc27f89396ed1c36aa496f448551620bb4e1f20</th>\n                        <td id=\"T_015f1_row257_col0\" class=\"data row257 col0\" >2722</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row258\" class=\"row_heading level0 row258\" >4223cead342994758116c66f46cd8fdf658ed260</th>\n                        <td id=\"T_015f1_row258_col0\" class=\"data row258 col0\" >2720</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row259\" class=\"row_heading level0 row259\" >0af23ecb287b87d4d0528c23181e8242ecba1582</th>\n                        <td id=\"T_015f1_row259_col0\" class=\"data row259 col0\" >2720</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row260\" class=\"row_heading level0 row260\" >0981ea46343ddc36e67af51d3832ee20055e31ed</th>\n                        <td id=\"T_015f1_row260_col0\" class=\"data row260 col0\" >2717</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row261\" class=\"row_heading level0 row261\" >c56575efee03d763174dd13f49b37681ec72c769</th>\n                        <td id=\"T_015f1_row261_col0\" class=\"data row261 col0\" >2717</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row262\" class=\"row_heading level0 row262\" >087be6452a54ea53874070a1b07f1479f06e1a78</th>\n                        <td id=\"T_015f1_row262_col0\" class=\"data row262 col0\" >2712</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row263\" class=\"row_heading level0 row263\" >0d0221202a9b42c2561704448ef04840b18ae8a8</th>\n                        <td id=\"T_015f1_row263_col0\" class=\"data row263 col0\" >2702</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row264\" class=\"row_heading level0 row264\" >00f0904087c01d922d6ebf3005607dfdeaf6687b</th>\n                        <td id=\"T_015f1_row264_col0\" class=\"data row264 col0\" >2696</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row265\" class=\"row_heading level0 row265\" >36e6b156d1ef43e2e3a385574302b62c6ba890a2</th>\n                        <td id=\"T_015f1_row265_col0\" class=\"data row265 col0\" >2690</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row266\" class=\"row_heading level0 row266\" >3d862fe7bc1492cdc4eeecc6c67662f2e1accbe2</th>\n                        <td id=\"T_015f1_row266_col0\" class=\"data row266 col0\" >2684</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row267\" class=\"row_heading level0 row267\" >0b5f69e5bbfd1cd46da3b29afd1d674c0925c2ab</th>\n                        <td id=\"T_015f1_row267_col0\" class=\"data row267 col0\" >2670</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row268\" class=\"row_heading level0 row268\" >baab06e9d06dff4033836845b87c069d18353a85</th>\n                        <td id=\"T_015f1_row268_col0\" class=\"data row268 col0\" >2664</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row269\" class=\"row_heading level0 row269\" >be63acc637a1ed99c105d40b89938403352ac27c</th>\n                        <td id=\"T_015f1_row269_col0\" class=\"data row269 col0\" >2663</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row270\" class=\"row_heading level0 row270\" >9f0372b93f2831825a4b2ea75cfdebf84d9dfb8e</th>\n                        <td id=\"T_015f1_row270_col0\" class=\"data row270 col0\" >2661</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row271\" class=\"row_heading level0 row271\" >c65f39c3194566c286cd4c29e016add5a6a46675</th>\n                        <td id=\"T_015f1_row271_col0\" class=\"data row271 col0\" >2660</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row272\" class=\"row_heading level0 row272\" >e85bfadc24ead00bb0d80a56a2b24f5baee7da4a</th>\n                        <td id=\"T_015f1_row272_col0\" class=\"data row272 col0\" >2657</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row273\" class=\"row_heading level0 row273\" >22831e75f02c45ac378cb5a5a3c22ed275be3bd0</th>\n                        <td id=\"T_015f1_row273_col0\" class=\"data row273 col0\" >2651</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row274\" class=\"row_heading level0 row274\" >5df57fca60cb48fac97a573ea4f2bd3a85f045f4</th>\n                        <td id=\"T_015f1_row274_col0\" class=\"data row274 col0\" >2647</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row275\" class=\"row_heading level0 row275\" >845ca2b94df27f19e8046fa5312b1e764da39254</th>\n                        <td id=\"T_015f1_row275_col0\" class=\"data row275 col0\" >2647</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row276\" class=\"row_heading level0 row276\" >0eafcd2f8e1fbad0cc7b0ee227d18c772d562e6d</th>\n                        <td id=\"T_015f1_row276_col0\" class=\"data row276 col0\" >2647</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row277\" class=\"row_heading level0 row277\" >0d65bccbb61c2aaff137673e2e3e401d305a2621</th>\n                        <td id=\"T_015f1_row277_col0\" class=\"data row277 col0\" >2646</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row278\" class=\"row_heading level0 row278\" >9000e885278b235609922c0b8ad8a558734214d6</th>\n                        <td id=\"T_015f1_row278_col0\" class=\"data row278 col0\" >2646</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row279\" class=\"row_heading level0 row279\" >c9ac1504c830215a48b196aab899320e83e51374</th>\n                        <td id=\"T_015f1_row279_col0\" class=\"data row279 col0\" >2637</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row280\" class=\"row_heading level0 row280\" >13cd1e6a6af504e46baff3e4ebf4084566a55272</th>\n                        <td id=\"T_015f1_row280_col0\" class=\"data row280 col0\" >2636</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row281\" class=\"row_heading level0 row281\" >26000adfe17ee51e6647e74a75864e8e4eb6c454</th>\n                        <td id=\"T_015f1_row281_col0\" class=\"data row281 col0\" >2636</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row282\" class=\"row_heading level0 row282\" >cfdaa7d650bc50dd29d033ad6c924e1dce4ecd9e</th>\n                        <td id=\"T_015f1_row282_col0\" class=\"data row282 col0\" >2630</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row283\" class=\"row_heading level0 row283\" >9ecf29b71c9cdc5e7c03b47f6511a62f6488928a</th>\n                        <td id=\"T_015f1_row283_col0\" class=\"data row283 col0\" >2624</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row284\" class=\"row_heading level0 row284\" >65037b9100197d7ecf053416bf6b9bd91c2df1d0</th>\n                        <td id=\"T_015f1_row284_col0\" class=\"data row284 col0\" >2622</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row285\" class=\"row_heading level0 row285\" >28bdb91a7dd97f23b9b026d1630ffda67113c32b</th>\n                        <td id=\"T_015f1_row285_col0\" class=\"data row285 col0\" >2618</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row286\" class=\"row_heading level0 row286\" >a0ae0ad68d9d901cdf75581093ccf091ea24dcf3</th>\n                        <td id=\"T_015f1_row286_col0\" class=\"data row286 col0\" >2618</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row287\" class=\"row_heading level0 row287\" >c1729fc6f537c4e98cb041b1df671de29d808913</th>\n                        <td id=\"T_015f1_row287_col0\" class=\"data row287 col0\" >2614</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row288\" class=\"row_heading level0 row288\" >c181389800b241b9e1fb188a27e1bef90a27d0f0</th>\n                        <td id=\"T_015f1_row288_col0\" class=\"data row288 col0\" >2607</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row289\" class=\"row_heading level0 row289\" >83521c7ba9dcefa54b2b43596bcce59e86f59194</th>\n                        <td id=\"T_015f1_row289_col0\" class=\"data row289 col0\" >2606</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row290\" class=\"row_heading level0 row290\" >7a22352c28d653936a6a38916ec5692fe128927b</th>\n                        <td id=\"T_015f1_row290_col0\" class=\"data row290 col0\" >2594</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row291\" class=\"row_heading level0 row291\" >fc230ca97bc6bd2969b2194cc896000e972d5542</th>\n                        <td id=\"T_015f1_row291_col0\" class=\"data row291 col0\" >2593</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row292\" class=\"row_heading level0 row292\" >62c80c57dc1147cab98d7589b781ed5e5ecc1a37</th>\n                        <td id=\"T_015f1_row292_col0\" class=\"data row292 col0\" >2584</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row293\" class=\"row_heading level0 row293\" >8862d0629fd543a489e72c0b4f22b6f9331f42e3</th>\n                        <td id=\"T_015f1_row293_col0\" class=\"data row293 col0\" >2570</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row294\" class=\"row_heading level0 row294\" >f093bfb36cfeedd2a91a349afe66f91cb4898fb1</th>\n                        <td id=\"T_015f1_row294_col0\" class=\"data row294 col0\" >2560</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row295\" class=\"row_heading level0 row295\" >974dae9e007c97423b9435e63c676e484860f83d</th>\n                        <td id=\"T_015f1_row295_col0\" class=\"data row295 col0\" >2554</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row296\" class=\"row_heading level0 row296\" >bab348bd479eaabc55fd014e7ebed585b890d569</th>\n                        <td id=\"T_015f1_row296_col0\" class=\"data row296 col0\" >2551</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row297\" class=\"row_heading level0 row297\" >fadd8651e9da3c6eaf9d130ba80c45999e69decf</th>\n                        <td id=\"T_015f1_row297_col0\" class=\"data row297 col0\" >2541</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row298\" class=\"row_heading level0 row298\" >3a1ebc492676823fc788feda7793cf7c305fa28f</th>\n                        <td id=\"T_015f1_row298_col0\" class=\"data row298 col0\" >2535</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row299\" class=\"row_heading level0 row299\" >e0c5dd4e9a08f83af8595969137acbc07ab89bc7</th>\n                        <td id=\"T_015f1_row299_col0\" class=\"data row299 col0\" >2527</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row300\" class=\"row_heading level0 row300\" >3d7b301dac8ee0890ea302f81f318dba80607e0e</th>\n                        <td id=\"T_015f1_row300_col0\" class=\"data row300 col0\" >2522</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row301\" class=\"row_heading level0 row301\" >5c400718b1e3a69dc9065a1a84ffd7cb51366078</th>\n                        <td id=\"T_015f1_row301_col0\" class=\"data row301 col0\" >2519</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row302\" class=\"row_heading level0 row302\" >b769f60d8499d23acab612b72eae2b7b984b09cf</th>\n                        <td id=\"T_015f1_row302_col0\" class=\"data row302 col0\" >2505</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row303\" class=\"row_heading level0 row303\" >2890d0aef53b7a7be5e7c44bcec572329cf391c4</th>\n                        <td id=\"T_015f1_row303_col0\" class=\"data row303 col0\" >2502</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row304\" class=\"row_heading level0 row304\" >7ca9a0e90174ea8295c9a92203f7a80f772e6ea8</th>\n                        <td id=\"T_015f1_row304_col0\" class=\"data row304 col0\" >2501</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row305\" class=\"row_heading level0 row305\" >112de1223847bd845f0f6f2a6ddcfce1d0290f03</th>\n                        <td id=\"T_015f1_row305_col0\" class=\"data row305 col0\" >2497</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row306\" class=\"row_heading level0 row306\" >2a8d84b34120d09d9e5ce7f54b4dd576db675edb</th>\n                        <td id=\"T_015f1_row306_col0\" class=\"data row306 col0\" >2490</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row307\" class=\"row_heading level0 row307\" >5ff84d7218b7adb864c66a82454aff0d0104508a</th>\n                        <td id=\"T_015f1_row307_col0\" class=\"data row307 col0\" >2483</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row308\" class=\"row_heading level0 row308\" >6745a06061e956a0e43d6f545af6bb2dff64f6c4</th>\n                        <td id=\"T_015f1_row308_col0\" class=\"data row308 col0\" >2483</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row309\" class=\"row_heading level0 row309\" >1a35d579a7b3676bbaf8cd8b5fdb260f0d43567c</th>\n                        <td id=\"T_015f1_row309_col0\" class=\"data row309 col0\" >2471</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row310\" class=\"row_heading level0 row310\" >4076540e52ced66819b700e0a8ea61e76a32d4b6</th>\n                        <td id=\"T_015f1_row310_col0\" class=\"data row310 col0\" >2470</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row311\" class=\"row_heading level0 row311\" >5de6df3ad5cd2ff86fc7e711a91a42289a82bb66</th>\n                        <td id=\"T_015f1_row311_col0\" class=\"data row311 col0\" >2465</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row312\" class=\"row_heading level0 row312\" >74f42e95a555d87d74ed855d2c0b1fefbe988e0b</th>\n                        <td id=\"T_015f1_row312_col0\" class=\"data row312 col0\" >2455</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row313\" class=\"row_heading level0 row313\" >9e1cbe20926f9883262826bc764ff872d80c53ab</th>\n                        <td id=\"T_015f1_row313_col0\" class=\"data row313 col0\" >2447</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row314\" class=\"row_heading level0 row314\" >d9b9edb0c6f0026dcd4a33eebf1aaeeb04231b1d</th>\n                        <td id=\"T_015f1_row314_col0\" class=\"data row314 col0\" >2440</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row315\" class=\"row_heading level0 row315\" >9d495d737576575c4143a7b7add3d14a6192c960</th>\n                        <td id=\"T_015f1_row315_col0\" class=\"data row315 col0\" >2436</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row316\" class=\"row_heading level0 row316\" >11035847ca0854c99104df042eb0c28912b47855</th>\n                        <td id=\"T_015f1_row316_col0\" class=\"data row316 col0\" >2434</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row317\" class=\"row_heading level0 row317\" >46c4e84652f6493051769d1ed240c1583587d2a5</th>\n                        <td id=\"T_015f1_row317_col0\" class=\"data row317 col0\" >2430</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row318\" class=\"row_heading level0 row318\" >40412d53fb1140365abe5886418417a12c894b2e</th>\n                        <td id=\"T_015f1_row318_col0\" class=\"data row318 col0\" >2427</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row319\" class=\"row_heading level0 row319\" >1f38cc3d16cf43dfdbea382785f717bc3a30dcce</th>\n                        <td id=\"T_015f1_row319_col0\" class=\"data row319 col0\" >2427</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row320\" class=\"row_heading level0 row320\" >7e411139596115b015661cd9e6fae4aebdbd184d</th>\n                        <td id=\"T_015f1_row320_col0\" class=\"data row320 col0\" >2419</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row321\" class=\"row_heading level0 row321\" >bc94f67c5bd77ad1778a2d5e0ce4c034e7b9c4ed</th>\n                        <td id=\"T_015f1_row321_col0\" class=\"data row321 col0\" >2414</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row322\" class=\"row_heading level0 row322\" >e420c49f692c1dec36838862d2401bb62a0e56d8</th>\n                        <td id=\"T_015f1_row322_col0\" class=\"data row322 col0\" >2403</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row323\" class=\"row_heading level0 row323\" >b4a89ff56c2127d2f677a8a50df8d0e552dea427</th>\n                        <td id=\"T_015f1_row323_col0\" class=\"data row323 col0\" >2392</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row324\" class=\"row_heading level0 row324\" >65ad9ebfe0da11f6cc77e863565ba70b579be115</th>\n                        <td id=\"T_015f1_row324_col0\" class=\"data row324 col0\" >2389</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row325\" class=\"row_heading level0 row325\" >25e39f513d9ac2eeb3ff3fe29d82d41ffe9c29f9</th>\n                        <td id=\"T_015f1_row325_col0\" class=\"data row325 col0\" >2387</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row326\" class=\"row_heading level0 row326\" >99bb474dc926f36679e8796c5fe3c5d04064575e</th>\n                        <td id=\"T_015f1_row326_col0\" class=\"data row326 col0\" >2387</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row327\" class=\"row_heading level0 row327\" >d9646fe8eaa15e9e8f785c77324fa811e48df081</th>\n                        <td id=\"T_015f1_row327_col0\" class=\"data row327 col0\" >2382</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row328\" class=\"row_heading level0 row328\" >6d611d2efaedb6602d0263a88a9a50c9f596fe9f</th>\n                        <td id=\"T_015f1_row328_col0\" class=\"data row328 col0\" >2379</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row329\" class=\"row_heading level0 row329\" >043907be508d7eed391e1218cadd52308c4046e1</th>\n                        <td id=\"T_015f1_row329_col0\" class=\"data row329 col0\" >2375</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row330\" class=\"row_heading level0 row330\" >4b313188f14772e5fe02b35e58d00fc07b207149</th>\n                        <td id=\"T_015f1_row330_col0\" class=\"data row330 col0\" >2369</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row331\" class=\"row_heading level0 row331\" >843620e0e07486017d7d75613802cc3f9030e0d2</th>\n                        <td id=\"T_015f1_row331_col0\" class=\"data row331 col0\" >2357</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row332\" class=\"row_heading level0 row332\" >4cba0264dbb07f5315df15eb73ccb62289f2570d</th>\n                        <td id=\"T_015f1_row332_col0\" class=\"data row332 col0\" >2356</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row333\" class=\"row_heading level0 row333\" >9c472f9c7acf424f2ca0242d5c2dd4cfc083b8be</th>\n                        <td id=\"T_015f1_row333_col0\" class=\"data row333 col0\" >2354</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row334\" class=\"row_heading level0 row334\" >5904143608c6bf21a5f8f5d6e4e842afb8ebfd3d</th>\n                        <td id=\"T_015f1_row334_col0\" class=\"data row334 col0\" >2348</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row335\" class=\"row_heading level0 row335\" >fa236a79405a5a4954301d05e708c6d0fa36d741</th>\n                        <td id=\"T_015f1_row335_col0\" class=\"data row335 col0\" >2345</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row336\" class=\"row_heading level0 row336\" >8fc8682a1367fe809941547ab28a9904925ffea7</th>\n                        <td id=\"T_015f1_row336_col0\" class=\"data row336 col0\" >2327</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row337\" class=\"row_heading level0 row337\" >3cc8427407f97ced96876755648c548ea61527ac</th>\n                        <td id=\"T_015f1_row337_col0\" class=\"data row337 col0\" >2325</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row338\" class=\"row_heading level0 row338\" >365f6991c073ae9d62fbf544d8d1a92ef3cd2dca</th>\n                        <td id=\"T_015f1_row338_col0\" class=\"data row338 col0\" >2320</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row339\" class=\"row_heading level0 row339\" >c99906b2923b6939f0c708d8a96aeb365fda1e26</th>\n                        <td id=\"T_015f1_row339_col0\" class=\"data row339 col0\" >2313</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row340\" class=\"row_heading level0 row340\" >09e7a3ace3201397480073d7fde070df500d5804</th>\n                        <td id=\"T_015f1_row340_col0\" class=\"data row340 col0\" >2311</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row341\" class=\"row_heading level0 row341\" >1cdf73f6cdd794c3695bc868cf2742fc50d3174f</th>\n                        <td id=\"T_015f1_row341_col0\" class=\"data row341 col0\" >2305</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row342\" class=\"row_heading level0 row342\" >d4f10c2ec705abd54fbea0a01102acf3ade0f71d</th>\n                        <td id=\"T_015f1_row342_col0\" class=\"data row342 col0\" >2298</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row343\" class=\"row_heading level0 row343\" >d92ad878278ef862056c15044c8b62a966627e79</th>\n                        <td id=\"T_015f1_row343_col0\" class=\"data row343 col0\" >2297</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row344\" class=\"row_heading level0 row344\" >2a25663447bf006f61d1a84f36a48d8039216b8d</th>\n                        <td id=\"T_015f1_row344_col0\" class=\"data row344 col0\" >2288</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row345\" class=\"row_heading level0 row345\" >45c201669ad8fb78fd9dd12288a6a32781c0e4f6</th>\n                        <td id=\"T_015f1_row345_col0\" class=\"data row345 col0\" >2286</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row346\" class=\"row_heading level0 row346\" >e8fcb3126ba7ecaeb730b1175968e9f24d0ebcfa</th>\n                        <td id=\"T_015f1_row346_col0\" class=\"data row346 col0\" >2283</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row347\" class=\"row_heading level0 row347\" >e09dea59a391d576302ef75254953950a1e456f7</th>\n                        <td id=\"T_015f1_row347_col0\" class=\"data row347 col0\" >2278</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row348\" class=\"row_heading level0 row348\" >442570aef8ca92862daab102ceb064d1badf958a</th>\n                        <td id=\"T_015f1_row348_col0\" class=\"data row348 col0\" >2277</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row349\" class=\"row_heading level0 row349\" >a45685120e77fd5bd14f808c21de5f0d7b9f59de</th>\n                        <td id=\"T_015f1_row349_col0\" class=\"data row349 col0\" >2274</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row350\" class=\"row_heading level0 row350\" >a2c44a4d38a147f05fb3705e5a163159df161994</th>\n                        <td id=\"T_015f1_row350_col0\" class=\"data row350 col0\" >2271</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row351\" class=\"row_heading level0 row351\" >81d42ba66d22db77b862e07e3a84202e58f8c29b</th>\n                        <td id=\"T_015f1_row351_col0\" class=\"data row351 col0\" >2267</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row352\" class=\"row_heading level0 row352\" >983ad8a99a1a140aa1cdcedf8bd08b3fae1ba64a</th>\n                        <td id=\"T_015f1_row352_col0\" class=\"data row352 col0\" >2266</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row353\" class=\"row_heading level0 row353\" >41311fb3076dbebb93a96b726e616286447041d1</th>\n                        <td id=\"T_015f1_row353_col0\" class=\"data row353 col0\" >2259</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row354\" class=\"row_heading level0 row354\" >997f40e8ba5264c2213aca456f4632a32871dd5f</th>\n                        <td id=\"T_015f1_row354_col0\" class=\"data row354 col0\" >2257</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row355\" class=\"row_heading level0 row355\" >b80beae478db02c0f4d67230da706f6d141c0407</th>\n                        <td id=\"T_015f1_row355_col0\" class=\"data row355 col0\" >2253</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row356\" class=\"row_heading level0 row356\" >3fc85c6ed457ddae1069baed856526b64eafa406</th>\n                        <td id=\"T_015f1_row356_col0\" class=\"data row356 col0\" >2252</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row357\" class=\"row_heading level0 row357\" >53dd521cc8b171d4f1e8aa1f6afde4b7a3973503</th>\n                        <td id=\"T_015f1_row357_col0\" class=\"data row357 col0\" >2246</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row358\" class=\"row_heading level0 row358\" >24fed59e87b0abdfca829b467acfd33c5b99099b</th>\n                        <td id=\"T_015f1_row358_col0\" class=\"data row358 col0\" >2246</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row359\" class=\"row_heading level0 row359\" >463ec9948b44589dfe1c3f3d1ad8d923cbcbb4ef</th>\n                        <td id=\"T_015f1_row359_col0\" class=\"data row359 col0\" >2241</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row360\" class=\"row_heading level0 row360\" >6694cc6680892994207959c12f84f39ea32e3c6f</th>\n                        <td id=\"T_015f1_row360_col0\" class=\"data row360 col0\" >2240</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row361\" class=\"row_heading level0 row361\" >196e40ec0be68e7d1ff340509f8072ba3a470df2</th>\n                        <td id=\"T_015f1_row361_col0\" class=\"data row361 col0\" >2238</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row362\" class=\"row_heading level0 row362\" >f1e0ab0bc52bb1cfe62442b8ef9971336c1eab5c</th>\n                        <td id=\"T_015f1_row362_col0\" class=\"data row362 col0\" >2234</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row363\" class=\"row_heading level0 row363\" >f962c52f40b06bee79d1f37a996fdd7cc5b81e1d</th>\n                        <td id=\"T_015f1_row363_col0\" class=\"data row363 col0\" >2233</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row364\" class=\"row_heading level0 row364\" >51d827709d0dbc51267601d4534d78c68f2cdb7c</th>\n                        <td id=\"T_015f1_row364_col0\" class=\"data row364 col0\" >2232</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row365\" class=\"row_heading level0 row365\" >f8192e82fcb81f5095886517ea7155c0b78f6e38</th>\n                        <td id=\"T_015f1_row365_col0\" class=\"data row365 col0\" >2223</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row366\" class=\"row_heading level0 row366\" >352a78252df63901e641ed2e89f2b5c4f933a4f0</th>\n                        <td id=\"T_015f1_row366_col0\" class=\"data row366 col0\" >2215</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row367\" class=\"row_heading level0 row367\" >17e52cc2d8f8d4e8413bbe1f0a4aae1731b84aaa</th>\n                        <td id=\"T_015f1_row367_col0\" class=\"data row367 col0\" >2214</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row368\" class=\"row_heading level0 row368\" >d1681bd6ca44bbb37e88409bc1f7f32be5259495</th>\n                        <td id=\"T_015f1_row368_col0\" class=\"data row368 col0\" >2212</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row369\" class=\"row_heading level0 row369\" >aed583c551ceeda1556ed079664c4d1ef33858e0</th>\n                        <td id=\"T_015f1_row369_col0\" class=\"data row369 col0\" >2205</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row370\" class=\"row_heading level0 row370\" >1aa43824bb504e2fcde734eb18421f4890cd2894</th>\n                        <td id=\"T_015f1_row370_col0\" class=\"data row370 col0\" >2202</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row371\" class=\"row_heading level0 row371\" >7805f319f3f591986effe78c5b41143180278f2d</th>\n                        <td id=\"T_015f1_row371_col0\" class=\"data row371 col0\" >2191</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row372\" class=\"row_heading level0 row372\" >0b3ef761fe9c3069e744c6d2c2dfcba9d9b1f9b4</th>\n                        <td id=\"T_015f1_row372_col0\" class=\"data row372 col0\" >2185</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row373\" class=\"row_heading level0 row373\" >6a2be1d97e71204bc94947d6f290077f59de9013</th>\n                        <td id=\"T_015f1_row373_col0\" class=\"data row373 col0\" >2183</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row374\" class=\"row_heading level0 row374\" >bdcef16974e095e2dc0917453a8b2ee070817c05</th>\n                        <td id=\"T_015f1_row374_col0\" class=\"data row374 col0\" >2182</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row375\" class=\"row_heading level0 row375\" >85e6e3acc4f0005b00f70931e3f268bdf650956c</th>\n                        <td id=\"T_015f1_row375_col0\" class=\"data row375 col0\" >2181</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row376\" class=\"row_heading level0 row376\" >76641a801004400b25026d8ae845950cfe8868db</th>\n                        <td id=\"T_015f1_row376_col0\" class=\"data row376 col0\" >2176</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row377\" class=\"row_heading level0 row377\" >301de390fc0833d74c50b87356b5b90761663b4f</th>\n                        <td id=\"T_015f1_row377_col0\" class=\"data row377 col0\" >2175</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row378\" class=\"row_heading level0 row378\" >575d099c9ae606cbdad5045613530ff24e28bbad</th>\n                        <td id=\"T_015f1_row378_col0\" class=\"data row378 col0\" >2163</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row379\" class=\"row_heading level0 row379\" >105d017be5036876409c1f48c31f7f5684e61906</th>\n                        <td id=\"T_015f1_row379_col0\" class=\"data row379 col0\" >2163</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row380\" class=\"row_heading level0 row380\" >fcbdccdf5f7afc88a18b7d824c952d7e1335612f</th>\n                        <td id=\"T_015f1_row380_col0\" class=\"data row380 col0\" >2161</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row381\" class=\"row_heading level0 row381\" >f0618f7ff7aa176c0962b67dc6c31e20324b227c</th>\n                        <td id=\"T_015f1_row381_col0\" class=\"data row381 col0\" >2154</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row382\" class=\"row_heading level0 row382\" >d5c44ad1d7259710a6a0a84610f321804605b81c</th>\n                        <td id=\"T_015f1_row382_col0\" class=\"data row382 col0\" >2152</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row383\" class=\"row_heading level0 row383\" >eb6778872fda716b31c1316e3e4f099c22ea822d</th>\n                        <td id=\"T_015f1_row383_col0\" class=\"data row383 col0\" >2150</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row384\" class=\"row_heading level0 row384\" >18d48d7996830945f6257f2daaecf918fde87dc2</th>\n                        <td id=\"T_015f1_row384_col0\" class=\"data row384 col0\" >2134</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row385\" class=\"row_heading level0 row385\" >db62fcdb99bb797d06771103f8536ff903de438e</th>\n                        <td id=\"T_015f1_row385_col0\" class=\"data row385 col0\" >2132</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row386\" class=\"row_heading level0 row386\" >8e6ff1f522258bb1726cd716edb4b988b4169497</th>\n                        <td id=\"T_015f1_row386_col0\" class=\"data row386 col0\" >2132</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row387\" class=\"row_heading level0 row387\" >6a27c310e644b60506a69c0d21c909da4cf4a755</th>\n                        <td id=\"T_015f1_row387_col0\" class=\"data row387 col0\" >2129</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row388\" class=\"row_heading level0 row388\" >80e0e21ba06136f3b168295fea79ede3a7b43f12</th>\n                        <td id=\"T_015f1_row388_col0\" class=\"data row388 col0\" >2125</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row389\" class=\"row_heading level0 row389\" >8e421ac31d0c34bc87a0bc61b66e0eae44d0fd4d</th>\n                        <td id=\"T_015f1_row389_col0\" class=\"data row389 col0\" >2124</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row390\" class=\"row_heading level0 row390\" >d011cc51b6bad11e6e1a88c399020b191ffd8790</th>\n                        <td id=\"T_015f1_row390_col0\" class=\"data row390 col0\" >2118</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row391\" class=\"row_heading level0 row391\" >309450b66473f06aac98a8fe2dd34a64664a6d5c</th>\n                        <td id=\"T_015f1_row391_col0\" class=\"data row391 col0\" >2116</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row392\" class=\"row_heading level0 row392\" >e43054fb17913b298a6ebd7990531bf0116d4f3a</th>\n                        <td id=\"T_015f1_row392_col0\" class=\"data row392 col0\" >2112</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row393\" class=\"row_heading level0 row393\" >2f9367172f3410fb9f4f9e93ea8f3b8ce9a76b74</th>\n                        <td id=\"T_015f1_row393_col0\" class=\"data row393 col0\" >2108</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row394\" class=\"row_heading level0 row394\" >3f8cec303c3ebf4873cda5e9da225773d264d2e0</th>\n                        <td id=\"T_015f1_row394_col0\" class=\"data row394 col0\" >2104</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row395\" class=\"row_heading level0 row395\" >4f1e1ecd5f7c4de40a70f00b7724ec6c8dbd85c5</th>\n                        <td id=\"T_015f1_row395_col0\" class=\"data row395 col0\" >2087</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row396\" class=\"row_heading level0 row396\" >c63e847e346adbb24aa01d86f2272b518b20eb9c</th>\n                        <td id=\"T_015f1_row396_col0\" class=\"data row396 col0\" >2086</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row397\" class=\"row_heading level0 row397\" >aaf683c5dedb818429a6c748e33572cd9919ba1c</th>\n                        <td id=\"T_015f1_row397_col0\" class=\"data row397 col0\" >2084</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row398\" class=\"row_heading level0 row398\" >db2bd83bfe58ca4b01fcb1acfdd7c8d1d118b44c</th>\n                        <td id=\"T_015f1_row398_col0\" class=\"data row398 col0\" >2072</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row399\" class=\"row_heading level0 row399\" >bc2a3df3d4c2d4ba07255315f36b20784b3ae2de</th>\n                        <td id=\"T_015f1_row399_col0\" class=\"data row399 col0\" >2069</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row400\" class=\"row_heading level0 row400\" >675694e28dac34adbb1f7d058cc8546c2e6313f8</th>\n                        <td id=\"T_015f1_row400_col0\" class=\"data row400 col0\" >2069</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row401\" class=\"row_heading level0 row401\" >4dfd44ed83a3e7b78504429fa61217be94a04f2e</th>\n                        <td id=\"T_015f1_row401_col0\" class=\"data row401 col0\" >2066</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row402\" class=\"row_heading level0 row402\" >b7d04633bbe34af099d9128da576c0d488ebaa2a</th>\n                        <td id=\"T_015f1_row402_col0\" class=\"data row402 col0\" >2059</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row403\" class=\"row_heading level0 row403\" >d76749489c7cae30672beebca0dec8d2e3610055</th>\n                        <td id=\"T_015f1_row403_col0\" class=\"data row403 col0\" >2058</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row404\" class=\"row_heading level0 row404\" >f60f548cd3ba0a5b7657a31091690524a7171be3</th>\n                        <td id=\"T_015f1_row404_col0\" class=\"data row404 col0\" >2057</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row405\" class=\"row_heading level0 row405\" >3a56df821ba1b5534e57f8aae6e0471d1c210680</th>\n                        <td id=\"T_015f1_row405_col0\" class=\"data row405 col0\" >2050</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row406\" class=\"row_heading level0 row406\" >7acd3fcb74a8194f779b898d07bb4766e1d30d7e</th>\n                        <td id=\"T_015f1_row406_col0\" class=\"data row406 col0\" >2041</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row407\" class=\"row_heading level0 row407\" >113b2ccf3a21d62269e24c8a0b2907871ac0548e</th>\n                        <td id=\"T_015f1_row407_col0\" class=\"data row407 col0\" >2040</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row408\" class=\"row_heading level0 row408\" >0a32c7b628a7a216a79e552b9162822f0b66c348</th>\n                        <td id=\"T_015f1_row408_col0\" class=\"data row408 col0\" >2023</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row409\" class=\"row_heading level0 row409\" >e820eeee2a2be84fd84e9ef09e6f7f3e1e9da5c1</th>\n                        <td id=\"T_015f1_row409_col0\" class=\"data row409 col0\" >2019</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row410\" class=\"row_heading level0 row410\" >d347ebf6f2a3c0e514c762007c2565ce50b1052f</th>\n                        <td id=\"T_015f1_row410_col0\" class=\"data row410 col0\" >2018</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row411\" class=\"row_heading level0 row411\" >dd19174c48e18d7ef8275721c4eca8d8bdff5008</th>\n                        <td id=\"T_015f1_row411_col0\" class=\"data row411 col0\" >2018</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row412\" class=\"row_heading level0 row412\" >608ff90f2f98f684291177c70b1f3efbaa097983</th>\n                        <td id=\"T_015f1_row412_col0\" class=\"data row412 col0\" >2017</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row413\" class=\"row_heading level0 row413\" >15d4a31cd3d067065469f1e9e969cbcf02d0a479</th>\n                        <td id=\"T_015f1_row413_col0\" class=\"data row413 col0\" >2015</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row414\" class=\"row_heading level0 row414\" >716fe087c77b73281c5823166f9d6b0fa830ee7b</th>\n                        <td id=\"T_015f1_row414_col0\" class=\"data row414 col0\" >2013</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row415\" class=\"row_heading level0 row415\" >04b820b511e2ad7b23e75c34413a1de404d4ccfc</th>\n                        <td id=\"T_015f1_row415_col0\" class=\"data row415 col0\" >2003</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row416\" class=\"row_heading level0 row416\" >ae0e1d60ac2c1ffee8e56e3ce69403bf918ea895</th>\n                        <td id=\"T_015f1_row416_col0\" class=\"data row416 col0\" >1996</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row417\" class=\"row_heading level0 row417\" >1a3783ca71d48e6683d3053004bfaee323cb3415</th>\n                        <td id=\"T_015f1_row417_col0\" class=\"data row417 col0\" >1992</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row418\" class=\"row_heading level0 row418\" >dfc2a0c43f11b9d427cb3c26f5c0f39441fa1ae7</th>\n                        <td id=\"T_015f1_row418_col0\" class=\"data row418 col0\" >1991</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row419\" class=\"row_heading level0 row419\" >998706ff97e9fb6d19b8c60f4f6aac1c82c6d19d</th>\n                        <td id=\"T_015f1_row419_col0\" class=\"data row419 col0\" >1963</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row420\" class=\"row_heading level0 row420\" >3e773353957a7a0e2485090d41de1fa5a65df532</th>\n                        <td id=\"T_015f1_row420_col0\" class=\"data row420 col0\" >1960</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row421\" class=\"row_heading level0 row421\" >cc4f469cb7d85e912c634cabdca058d5edd0237d</th>\n                        <td id=\"T_015f1_row421_col0\" class=\"data row421 col0\" >1957</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row422\" class=\"row_heading level0 row422\" >82d3e82e724c419efb1e4e9eeaba32f3d4dd1376</th>\n                        <td id=\"T_015f1_row422_col0\" class=\"data row422 col0\" >1955</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row423\" class=\"row_heading level0 row423\" >872f92e5bdf2d3ffd946c44133793f5b43552400</th>\n                        <td id=\"T_015f1_row423_col0\" class=\"data row423 col0\" >1943</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row424\" class=\"row_heading level0 row424\" >95b022911ccdd19e37e89043292adb1b222b5c43</th>\n                        <td id=\"T_015f1_row424_col0\" class=\"data row424 col0\" >1932</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row425\" class=\"row_heading level0 row425\" >954aac3562feb83f061e72d80a6757dd9fd0814a</th>\n                        <td id=\"T_015f1_row425_col0\" class=\"data row425 col0\" >1932</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row426\" class=\"row_heading level0 row426\" >2faede17af914f8a1ed3f8eb79dc56f872882f08</th>\n                        <td id=\"T_015f1_row426_col0\" class=\"data row426 col0\" >1931</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row427\" class=\"row_heading level0 row427\" >5906a627d57e50f2ff28b834a6b093dd52c541e5</th>\n                        <td id=\"T_015f1_row427_col0\" class=\"data row427 col0\" >1931</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row428\" class=\"row_heading level0 row428\" >62faafdc7a2497fe712c04ae942c0e4aeb0ac0d8</th>\n                        <td id=\"T_015f1_row428_col0\" class=\"data row428 col0\" >1925</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row429\" class=\"row_heading level0 row429\" >6348dc6f36e47858ed067cbd55e67bf5df721058</th>\n                        <td id=\"T_015f1_row429_col0\" class=\"data row429 col0\" >1923</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row430\" class=\"row_heading level0 row430\" >8bb2bb43f7ca5db5e821edd61514d1a42a103039</th>\n                        <td id=\"T_015f1_row430_col0\" class=\"data row430 col0\" >1921</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row431\" class=\"row_heading level0 row431\" >8bac8930d7aa6b3454d1847de9de0b19b22edce8</th>\n                        <td id=\"T_015f1_row431_col0\" class=\"data row431 col0\" >1921</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row432\" class=\"row_heading level0 row432\" >7a557aa99e2d7cb8d4f7fef047374faa5de3710e</th>\n                        <td id=\"T_015f1_row432_col0\" class=\"data row432 col0\" >1920</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row433\" class=\"row_heading level0 row433\" >ccecede95c4a486a4a59b0bd1fcf463a3245b4e0</th>\n                        <td id=\"T_015f1_row433_col0\" class=\"data row433 col0\" >1916</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row434\" class=\"row_heading level0 row434\" >296ea9e41acd823ca04a211edefa7cc6457728a4</th>\n                        <td id=\"T_015f1_row434_col0\" class=\"data row434 col0\" >1913</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row435\" class=\"row_heading level0 row435\" >7138cc44edd6b551955b268a5b86cc76f3a6d205</th>\n                        <td id=\"T_015f1_row435_col0\" class=\"data row435 col0\" >1912</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row436\" class=\"row_heading level0 row436\" >3d12ed187284f7bc5c53f6e7965e918068e52b1a</th>\n                        <td id=\"T_015f1_row436_col0\" class=\"data row436 col0\" >1906</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row437\" class=\"row_heading level0 row437\" >7693ab76d893d96033164fb31c10dfa2675c5ac8</th>\n                        <td id=\"T_015f1_row437_col0\" class=\"data row437 col0\" >1902</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row438\" class=\"row_heading level0 row438\" >34a47d8f6a0129d83744466d5e644fa8af3b8ecc</th>\n                        <td id=\"T_015f1_row438_col0\" class=\"data row438 col0\" >1899</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row439\" class=\"row_heading level0 row439\" >093daa800aa8dd3a4543b51cdac53ae71fac9dcf</th>\n                        <td id=\"T_015f1_row439_col0\" class=\"data row439 col0\" >1895</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row440\" class=\"row_heading level0 row440\" >722db5fcfac4d60eb2f49b6096cdfd990c74f52a</th>\n                        <td id=\"T_015f1_row440_col0\" class=\"data row440 col0\" >1895</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row441\" class=\"row_heading level0 row441\" >b1cb0ddc4c9279c19366ae24f9c059eb54e3fe31</th>\n                        <td id=\"T_015f1_row441_col0\" class=\"data row441 col0\" >1892</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row442\" class=\"row_heading level0 row442\" >9a31ec22245abf9c0088ebeb67e0d1a534d7b6f9</th>\n                        <td id=\"T_015f1_row442_col0\" class=\"data row442 col0\" >1889</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row443\" class=\"row_heading level0 row443\" >8329197d05d0b73705bb00d86f21b829f7219bee</th>\n                        <td id=\"T_015f1_row443_col0\" class=\"data row443 col0\" >1886</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row444\" class=\"row_heading level0 row444\" >9d2436a7b8cacab6f5be1f2a6a1cd09f1c833ba9</th>\n                        <td id=\"T_015f1_row444_col0\" class=\"data row444 col0\" >1879</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row445\" class=\"row_heading level0 row445\" >107b4cda60752a916e9719ed0bbb177951144855</th>\n                        <td id=\"T_015f1_row445_col0\" class=\"data row445 col0\" >1878</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row446\" class=\"row_heading level0 row446\" >41d8e047515fbd300b8dba046f0352cdc277f268</th>\n                        <td id=\"T_015f1_row446_col0\" class=\"data row446 col0\" >1877</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row447\" class=\"row_heading level0 row447\" >c281bb61343bcd987445e3a7ccf53ad7af6f5c25</th>\n                        <td id=\"T_015f1_row447_col0\" class=\"data row447 col0\" >1877</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row448\" class=\"row_heading level0 row448\" >43cfddbf2f289ef696f5d11aad0351755c39a1d9</th>\n                        <td id=\"T_015f1_row448_col0\" class=\"data row448 col0\" >1877</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row449\" class=\"row_heading level0 row449\" >dd277f9244ac8205eb2035fab99417d483e452c2</th>\n                        <td id=\"T_015f1_row449_col0\" class=\"data row449 col0\" >1875</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row450\" class=\"row_heading level0 row450\" >613199d43a7c42ae1bbae985a431e13fb9edce23</th>\n                        <td id=\"T_015f1_row450_col0\" class=\"data row450 col0\" >1865</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row451\" class=\"row_heading level0 row451\" >c90fa8e289f6d3c4772b4e9d5bafb3034ab119db</th>\n                        <td id=\"T_015f1_row451_col0\" class=\"data row451 col0\" >1863</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row452\" class=\"row_heading level0 row452\" >93d784be10f3599156e75ca6af5e5852f4af0ea0</th>\n                        <td id=\"T_015f1_row452_col0\" class=\"data row452 col0\" >1857</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row453\" class=\"row_heading level0 row453\" >8603dca5ec5f3485d28b66fd818ee3540301bc79</th>\n                        <td id=\"T_015f1_row453_col0\" class=\"data row453 col0\" >1856</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row454\" class=\"row_heading level0 row454\" >c06e91e200bba426fb905eaa4d5efa43495d39e6</th>\n                        <td id=\"T_015f1_row454_col0\" class=\"data row454 col0\" >1855</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row455\" class=\"row_heading level0 row455\" >97a74323718ef2ebcdcff37966c7eb060f82fc36</th>\n                        <td id=\"T_015f1_row455_col0\" class=\"data row455 col0\" >1855</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row456\" class=\"row_heading level0 row456\" >f6bfa422f42d23306464340afa1215a74eae8f6d</th>\n                        <td id=\"T_015f1_row456_col0\" class=\"data row456 col0\" >1849</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row457\" class=\"row_heading level0 row457\" >b4dbb0b30caa1d0f21b7b4185ba061556cada67a</th>\n                        <td id=\"T_015f1_row457_col0\" class=\"data row457 col0\" >1843</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row458\" class=\"row_heading level0 row458\" >53c8ee4789dba74be0badebc3acf8fcea6c9c09b</th>\n                        <td id=\"T_015f1_row458_col0\" class=\"data row458 col0\" >1839</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row459\" class=\"row_heading level0 row459\" >c2fb01351b51091f68c750548c6e95acc9620552</th>\n                        <td id=\"T_015f1_row459_col0\" class=\"data row459 col0\" >1831</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row460\" class=\"row_heading level0 row460\" >6e71e61fda2ee90d02c6ca49ed157025a350aea5</th>\n                        <td id=\"T_015f1_row460_col0\" class=\"data row460 col0\" >1827</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row461\" class=\"row_heading level0 row461\" >8cca161805b3c5a062778e8b34df3caa5e652185</th>\n                        <td id=\"T_015f1_row461_col0\" class=\"data row461 col0\" >1824</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row462\" class=\"row_heading level0 row462\" >c31d7c489dc0a491882fe0b85b39b5c45049328d</th>\n                        <td id=\"T_015f1_row462_col0\" class=\"data row462 col0\" >1816</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row463\" class=\"row_heading level0 row463\" >fdc189e5a19850397f37201f4acc378cfddcf0d6</th>\n                        <td id=\"T_015f1_row463_col0\" class=\"data row463 col0\" >1813</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row464\" class=\"row_heading level0 row464\" >8fc106e49986a0fd290fd3793254b975d9872050</th>\n                        <td id=\"T_015f1_row464_col0\" class=\"data row464 col0\" >1810</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row465\" class=\"row_heading level0 row465\" >0a741c9b887c6f7793cc6a3d4c8fa221de5988ca</th>\n                        <td id=\"T_015f1_row465_col0\" class=\"data row465 col0\" >1810</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row466\" class=\"row_heading level0 row466\" >13ab407e5ea93d8d63431f9b41fc644b7c739eda</th>\n                        <td id=\"T_015f1_row466_col0\" class=\"data row466 col0\" >1804</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row467\" class=\"row_heading level0 row467\" >d2579894743417664d10fc78f35267eb449da576</th>\n                        <td id=\"T_015f1_row467_col0\" class=\"data row467 col0\" >1803</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row468\" class=\"row_heading level0 row468\" >c729e2e4f5a2888583cfebcd98b3178023f58b8e</th>\n                        <td id=\"T_015f1_row468_col0\" class=\"data row468 col0\" >1801</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row469\" class=\"row_heading level0 row469\" >64a752d5b7077f0a5b3b810cc8f3a7184917567c</th>\n                        <td id=\"T_015f1_row469_col0\" class=\"data row469 col0\" >1800</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row470\" class=\"row_heading level0 row470\" >7476ce0f5573ab0ac2ed31989508c683ff6e42a7</th>\n                        <td id=\"T_015f1_row470_col0\" class=\"data row470 col0\" >1800</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row471\" class=\"row_heading level0 row471\" >0c4130e1e769677a016612b48d96480a8cdd1dc4</th>\n                        <td id=\"T_015f1_row471_col0\" class=\"data row471 col0\" >1799</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row472\" class=\"row_heading level0 row472\" >164d78c002a490c56bb036db273c707e311dedc5</th>\n                        <td id=\"T_015f1_row472_col0\" class=\"data row472 col0\" >1798</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row473\" class=\"row_heading level0 row473\" >e63ae21331776a09dae9e2c0d89121b9158d6ef3</th>\n                        <td id=\"T_015f1_row473_col0\" class=\"data row473 col0\" >1797</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row474\" class=\"row_heading level0 row474\" >a1a77f543bd73cc2a3d53fece451692cbbd665e0</th>\n                        <td id=\"T_015f1_row474_col0\" class=\"data row474 col0\" >1796</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row475\" class=\"row_heading level0 row475\" >a1caf95d8eb63fe124c9238c215c6f1a9d7c506d</th>\n                        <td id=\"T_015f1_row475_col0\" class=\"data row475 col0\" >1794</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row476\" class=\"row_heading level0 row476\" >f682f580924ab4b3f3da7a222c7a5cb7ff707404</th>\n                        <td id=\"T_015f1_row476_col0\" class=\"data row476 col0\" >1792</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row477\" class=\"row_heading level0 row477\" >b18c91615015ada1f4b45975f9b70b5a0d099bf8</th>\n                        <td id=\"T_015f1_row477_col0\" class=\"data row477 col0\" >1781</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row478\" class=\"row_heading level0 row478\" >d4f5c7efdda698a858bb91fcd89f6c882872fa47</th>\n                        <td id=\"T_015f1_row478_col0\" class=\"data row478 col0\" >1780</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row479\" class=\"row_heading level0 row479\" >7d09ecf5bd84e8b7a401a5780bf22d00678b695d</th>\n                        <td id=\"T_015f1_row479_col0\" class=\"data row479 col0\" >1773</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row480\" class=\"row_heading level0 row480\" >4be384ea949b30337e12c9c51d08be8550e04921</th>\n                        <td id=\"T_015f1_row480_col0\" class=\"data row480 col0\" >1772</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row481\" class=\"row_heading level0 row481\" >00af060fc145ee6a6a50475efa57b91cbf54237f</th>\n                        <td id=\"T_015f1_row481_col0\" class=\"data row481 col0\" >1769</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row482\" class=\"row_heading level0 row482\" >83c76a690c971168f492a7a6fe4bc7e406a37936</th>\n                        <td id=\"T_015f1_row482_col0\" class=\"data row482 col0\" >1763</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row483\" class=\"row_heading level0 row483\" >84fe52504769b4ee72e0796b73daaa31c36cc8ee</th>\n                        <td id=\"T_015f1_row483_col0\" class=\"data row483 col0\" >1760</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row484\" class=\"row_heading level0 row484\" >b714027cc5853aad33e8100f259a373a26865bd3</th>\n                        <td id=\"T_015f1_row484_col0\" class=\"data row484 col0\" >1760</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row485\" class=\"row_heading level0 row485\" >13658398bbef2ab3a4d9eefcbd92fa5c6ca83152</th>\n                        <td id=\"T_015f1_row485_col0\" class=\"data row485 col0\" >1758</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row486\" class=\"row_heading level0 row486\" >499cdcbaf798d669e117c2e3758641fc2e55ac3f</th>\n                        <td id=\"T_015f1_row486_col0\" class=\"data row486 col0\" >1758</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row487\" class=\"row_heading level0 row487\" >935469d9e593dce5c91df7dc259eb678e84df4a5</th>\n                        <td id=\"T_015f1_row487_col0\" class=\"data row487 col0\" >1752</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row488\" class=\"row_heading level0 row488\" >b2006c3a4e3e041451e62ee6ab344ac3aeaa800f</th>\n                        <td id=\"T_015f1_row488_col0\" class=\"data row488 col0\" >1749</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row489\" class=\"row_heading level0 row489\" >345c676b57db4d5d25e833ee53b65ec636cfb32d</th>\n                        <td id=\"T_015f1_row489_col0\" class=\"data row489 col0\" >1737</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row490\" class=\"row_heading level0 row490\" >18d348ee298c84676cf2b834ce063218e74a39ed</th>\n                        <td id=\"T_015f1_row490_col0\" class=\"data row490 col0\" >1735</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row491\" class=\"row_heading level0 row491\" >87f46fabed4bd757563312b411ad6588cf3052ea</th>\n                        <td id=\"T_015f1_row491_col0\" class=\"data row491 col0\" >1732</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row492\" class=\"row_heading level0 row492\" >27b1d42a208a2eccdb70f128f0a75c72d6584786</th>\n                        <td id=\"T_015f1_row492_col0\" class=\"data row492 col0\" >1731</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row493\" class=\"row_heading level0 row493\" >5489832ea07a2b6c488e0b857b18ca2bd5c79186</th>\n                        <td id=\"T_015f1_row493_col0\" class=\"data row493 col0\" >1726</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row494\" class=\"row_heading level0 row494\" >52572c394df497d9c3700e7dd96ec9f9b783939a</th>\n                        <td id=\"T_015f1_row494_col0\" class=\"data row494 col0\" >1720</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row495\" class=\"row_heading level0 row495\" >41c8cd40a6eed5e4f7f279eccbc71c5a6fb32952</th>\n                        <td id=\"T_015f1_row495_col0\" class=\"data row495 col0\" >1719</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row496\" class=\"row_heading level0 row496\" >785c32c1acefb7833934ab56a1b830ff8bc39a29</th>\n                        <td id=\"T_015f1_row496_col0\" class=\"data row496 col0\" >1715</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row497\" class=\"row_heading level0 row497\" >e45eaf9f986d8b950f244b5c0183ca30e9a478b8</th>\n                        <td id=\"T_015f1_row497_col0\" class=\"data row497 col0\" >1711</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row498\" class=\"row_heading level0 row498\" >1b66000d0d96cc0a1edeab4593a1e1e217c162b5</th>\n                        <td id=\"T_015f1_row498_col0\" class=\"data row498 col0\" >1710</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row499\" class=\"row_heading level0 row499\" >fdfe926caf5f49a88a9bcab8d025e887f422128b</th>\n                        <td id=\"T_015f1_row499_col0\" class=\"data row499 col0\" >1704</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row500\" class=\"row_heading level0 row500\" >356ee7cf9a66cac4632bdbf6f7bfe5dc17a4a3b6</th>\n                        <td id=\"T_015f1_row500_col0\" class=\"data row500 col0\" >1700</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row501\" class=\"row_heading level0 row501\" >ae65325732fba6233c6faf9214539fe493ce3210</th>\n                        <td id=\"T_015f1_row501_col0\" class=\"data row501 col0\" >1686</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row502\" class=\"row_heading level0 row502\" >026c2f057932da75680b21ecdbd23bf9cb9350f3</th>\n                        <td id=\"T_015f1_row502_col0\" class=\"data row502 col0\" >1685</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row503\" class=\"row_heading level0 row503\" >b2757f4acb9bb20f782ec2d59ccad4405abb4a41</th>\n                        <td id=\"T_015f1_row503_col0\" class=\"data row503 col0\" >1684</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row504\" class=\"row_heading level0 row504\" >90ca196caf0a007f6af40e167bf05139a6882e61</th>\n                        <td id=\"T_015f1_row504_col0\" class=\"data row504 col0\" >1684</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row505\" class=\"row_heading level0 row505\" >7308d1f821b1eff96ff0ac5511fd308afd21f8ba</th>\n                        <td id=\"T_015f1_row505_col0\" class=\"data row505 col0\" >1683</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row506\" class=\"row_heading level0 row506\" >a6e2eb6f1e138c7da99b2f2b8b90ceee71f19590</th>\n                        <td id=\"T_015f1_row506_col0\" class=\"data row506 col0\" >1682</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row507\" class=\"row_heading level0 row507\" >632c4bf5081efc020d134d2e5374ce960a0475f5</th>\n                        <td id=\"T_015f1_row507_col0\" class=\"data row507 col0\" >1681</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row508\" class=\"row_heading level0 row508\" >4936f4b5f66fbfa3d2264ada20e8ea1ba06fbfbc</th>\n                        <td id=\"T_015f1_row508_col0\" class=\"data row508 col0\" >1679</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row509\" class=\"row_heading level0 row509\" >f27b6603820d90e9b0ee05949273d6059e6b5170</th>\n                        <td id=\"T_015f1_row509_col0\" class=\"data row509 col0\" >1678</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row510\" class=\"row_heading level0 row510\" >5cd740d96069c2beb55aeffffd70ea7337f100f5</th>\n                        <td id=\"T_015f1_row510_col0\" class=\"data row510 col0\" >1677</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row511\" class=\"row_heading level0 row511\" >1aa7a26d2a229500d44fe3fdca4bdccf61c518e4</th>\n                        <td id=\"T_015f1_row511_col0\" class=\"data row511 col0\" >1676</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row512\" class=\"row_heading level0 row512\" >9f42c84af7acbe3b668532b1837a4ea3635b700f</th>\n                        <td id=\"T_015f1_row512_col0\" class=\"data row512 col0\" >1675</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row513\" class=\"row_heading level0 row513\" >15b5928c3944942e322366d6548d690de9a6380f</th>\n                        <td id=\"T_015f1_row513_col0\" class=\"data row513 col0\" >1672</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row514\" class=\"row_heading level0 row514\" >cfafc829d4311727bc96e142aad077b7f7d2ca53</th>\n                        <td id=\"T_015f1_row514_col0\" class=\"data row514 col0\" >1668</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row515\" class=\"row_heading level0 row515\" >33d063cdec3f81b5df082abd0c9fbb382ebb29b7</th>\n                        <td id=\"T_015f1_row515_col0\" class=\"data row515 col0\" >1667</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row516\" class=\"row_heading level0 row516\" >82394dbb9ee21cfe2f4e015c2cc9d5c60938bb87</th>\n                        <td id=\"T_015f1_row516_col0\" class=\"data row516 col0\" >1665</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row517\" class=\"row_heading level0 row517\" >de1f940ef441edffc5961ef95ea9e8507667ef6b</th>\n                        <td id=\"T_015f1_row517_col0\" class=\"data row517 col0\" >1662</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row518\" class=\"row_heading level0 row518\" >74bd346fbe741f068f3116d3c0398c4abda35dc9</th>\n                        <td id=\"T_015f1_row518_col0\" class=\"data row518 col0\" >1657</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row519\" class=\"row_heading level0 row519\" >259810e7a8b5203d5a6ee014be24726be53cd1da</th>\n                        <td id=\"T_015f1_row519_col0\" class=\"data row519 col0\" >1656</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row520\" class=\"row_heading level0 row520\" >e9b24f94c0007acb4b7169b945622efcd332cf6f</th>\n                        <td id=\"T_015f1_row520_col0\" class=\"data row520 col0\" >1655</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row521\" class=\"row_heading level0 row521\" >1977049d6c8b84c76d71864fd05c5f25d61abea8</th>\n                        <td id=\"T_015f1_row521_col0\" class=\"data row521 col0\" >1654</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row522\" class=\"row_heading level0 row522\" >c9e9576ae2e60f08b7d6fa324e87c206aabe48b3</th>\n                        <td id=\"T_015f1_row522_col0\" class=\"data row522 col0\" >1652</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row523\" class=\"row_heading level0 row523\" >cc351605a6271189d565f48b2f78a3f024fa779b</th>\n                        <td id=\"T_015f1_row523_col0\" class=\"data row523 col0\" >1652</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row524\" class=\"row_heading level0 row524\" >246222328f56331300113e7da7eac1ae805040d7</th>\n                        <td id=\"T_015f1_row524_col0\" class=\"data row524 col0\" >1651</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row525\" class=\"row_heading level0 row525\" >ce5937c4e23fbc44493a9329ff637851e0cbb1b9</th>\n                        <td id=\"T_015f1_row525_col0\" class=\"data row525 col0\" >1648</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row526\" class=\"row_heading level0 row526\" >9271d7134a4b8a338a01f6b2b6e3568d8dd1d02f</th>\n                        <td id=\"T_015f1_row526_col0\" class=\"data row526 col0\" >1642</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row527\" class=\"row_heading level0 row527\" >1477e2804baeafbd9bee7bb329bd44359af70b35</th>\n                        <td id=\"T_015f1_row527_col0\" class=\"data row527 col0\" >1637</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row528\" class=\"row_heading level0 row528\" >e094e2190d1aea639e1eef527c331eb7deac00d1</th>\n                        <td id=\"T_015f1_row528_col0\" class=\"data row528 col0\" >1637</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row529\" class=\"row_heading level0 row529\" >a8145d2afbe65683bffae951ad21b1a508bad887</th>\n                        <td id=\"T_015f1_row529_col0\" class=\"data row529 col0\" >1634</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row530\" class=\"row_heading level0 row530\" >8983c021c95aeecab9a6d28da99ecd18ca5cd3d1</th>\n                        <td id=\"T_015f1_row530_col0\" class=\"data row530 col0\" >1624</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row531\" class=\"row_heading level0 row531\" >55834d7f27b32a77b52e5dfea1b4ff3c3389e1f9</th>\n                        <td id=\"T_015f1_row531_col0\" class=\"data row531 col0\" >1618</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row532\" class=\"row_heading level0 row532\" >fc77794b1f306779e6d47c93b26bca7b229a6da9</th>\n                        <td id=\"T_015f1_row532_col0\" class=\"data row532 col0\" >1618</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row533\" class=\"row_heading level0 row533\" >fd1a502adb446e835797a88fad8e79d1e0bf4b4a</th>\n                        <td id=\"T_015f1_row533_col0\" class=\"data row533 col0\" >1617</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row534\" class=\"row_heading level0 row534\" >5aba6eb8bdc82602c12481729b288bfeab6b5546</th>\n                        <td id=\"T_015f1_row534_col0\" class=\"data row534 col0\" >1614</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row535\" class=\"row_heading level0 row535\" >e5bf16ee2fedcd7602e3611d8a471fe638e7c5de</th>\n                        <td id=\"T_015f1_row535_col0\" class=\"data row535 col0\" >1606</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row536\" class=\"row_heading level0 row536\" >c996ca27909de1c8a008007adb8d43d261f282ba</th>\n                        <td id=\"T_015f1_row536_col0\" class=\"data row536 col0\" >1603</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row537\" class=\"row_heading level0 row537\" >f79914f6e6857983f2ff1aae5726102534ba9000</th>\n                        <td id=\"T_015f1_row537_col0\" class=\"data row537 col0\" >1599</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row538\" class=\"row_heading level0 row538\" >32bbd941505866b701812d1a5396315fc1af7f81</th>\n                        <td id=\"T_015f1_row538_col0\" class=\"data row538 col0\" >1599</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row539\" class=\"row_heading level0 row539\" >4c18a347b96914e2e41274b90691c55c41214790</th>\n                        <td id=\"T_015f1_row539_col0\" class=\"data row539 col0\" >1593</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row540\" class=\"row_heading level0 row540\" >8caa968ca60137149c861dbc10aaa4e70911a3b0</th>\n                        <td id=\"T_015f1_row540_col0\" class=\"data row540 col0\" >1590</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row541\" class=\"row_heading level0 row541\" >2c19f866a7729991666ae5f72f20d60ff9805bbd</th>\n                        <td id=\"T_015f1_row541_col0\" class=\"data row541 col0\" >1586</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row542\" class=\"row_heading level0 row542\" >0acd5446bf9e351dc039c99e653c4e398171a9b2</th>\n                        <td id=\"T_015f1_row542_col0\" class=\"data row542 col0\" >1585</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row543\" class=\"row_heading level0 row543\" >8c1cc741628b97bff8c00412778ae1b461d613c6</th>\n                        <td id=\"T_015f1_row543_col0\" class=\"data row543 col0\" >1579</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row544\" class=\"row_heading level0 row544\" >a3f167647e4406d59ebf92e99172ae25d3a27240</th>\n                        <td id=\"T_015f1_row544_col0\" class=\"data row544 col0\" >1578</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row545\" class=\"row_heading level0 row545\" >8c951612f3b28a7a6379de232d74e54d8411cb11</th>\n                        <td id=\"T_015f1_row545_col0\" class=\"data row545 col0\" >1576</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row546\" class=\"row_heading level0 row546\" >0746024a3e1bc32db07864be99f31da059a871cf</th>\n                        <td id=\"T_015f1_row546_col0\" class=\"data row546 col0\" >1575</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row547\" class=\"row_heading level0 row547\" >06aed0ed92794f30f58f2991e09e62bc01434362</th>\n                        <td id=\"T_015f1_row547_col0\" class=\"data row547 col0\" >1573</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row548\" class=\"row_heading level0 row548\" >93b9f91a23332372acfb78d78f0fce1d6696033b</th>\n                        <td id=\"T_015f1_row548_col0\" class=\"data row548 col0\" >1572</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row549\" class=\"row_heading level0 row549\" >ef018fe92940aff5b1024ea2d5d217586b8b0657</th>\n                        <td id=\"T_015f1_row549_col0\" class=\"data row549 col0\" >1568</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row550\" class=\"row_heading level0 row550\" >0a82da00c486894c4b08810661bd2a835898448f</th>\n                        <td id=\"T_015f1_row550_col0\" class=\"data row550 col0\" >1567</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row551\" class=\"row_heading level0 row551\" >a41aff775c3816e2edeca892bca1f60dfcc53e1f</th>\n                        <td id=\"T_015f1_row551_col0\" class=\"data row551 col0\" >1567</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row552\" class=\"row_heading level0 row552\" >ed954270466a55931158bcd87e4a7e667a2afbfd</th>\n                        <td id=\"T_015f1_row552_col0\" class=\"data row552 col0\" >1566</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row553\" class=\"row_heading level0 row553\" >188f28ea467a7d319d12792188520349f94b459b</th>\n                        <td id=\"T_015f1_row553_col0\" class=\"data row553 col0\" >1564</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row554\" class=\"row_heading level0 row554\" >eb138e98644258494f8709d807c4c1ee2998eef4</th>\n                        <td id=\"T_015f1_row554_col0\" class=\"data row554 col0\" >1562</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row555\" class=\"row_heading level0 row555\" >36dd34379e52abef16b6f0607b2a36a07db6e862</th>\n                        <td id=\"T_015f1_row555_col0\" class=\"data row555 col0\" >1557</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row556\" class=\"row_heading level0 row556\" >2e88627bafac16a05c44723624ac89e19ace9f9a</th>\n                        <td id=\"T_015f1_row556_col0\" class=\"data row556 col0\" >1553</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row557\" class=\"row_heading level0 row557\" >780693bee0db78c4c5e5a9cdab56d6619140c69c</th>\n                        <td id=\"T_015f1_row557_col0\" class=\"data row557 col0\" >1551</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row558\" class=\"row_heading level0 row558\" >e6d6f20d438117125ab2710caf24bbb40b45048b</th>\n                        <td id=\"T_015f1_row558_col0\" class=\"data row558 col0\" >1539</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row559\" class=\"row_heading level0 row559\" >2f060c2a295077ea60b6e9a27c04d82bcad99bda</th>\n                        <td id=\"T_015f1_row559_col0\" class=\"data row559 col0\" >1532</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row560\" class=\"row_heading level0 row560\" >71177bb213b665eab29c7f0c13810fb43e981127</th>\n                        <td id=\"T_015f1_row560_col0\" class=\"data row560 col0\" >1530</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row561\" class=\"row_heading level0 row561\" >a8802b19309463eced4835bdee19dde9326b4fb1</th>\n                        <td id=\"T_015f1_row561_col0\" class=\"data row561 col0\" >1528</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row562\" class=\"row_heading level0 row562\" >57e252d0e2004b53312413c9c9283fa1927cffef</th>\n                        <td id=\"T_015f1_row562_col0\" class=\"data row562 col0\" >1526</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row563\" class=\"row_heading level0 row563\" >1fd4e31d82de1a11ddeb8016b9a8d0d888ab7680</th>\n                        <td id=\"T_015f1_row563_col0\" class=\"data row563 col0\" >1520</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row564\" class=\"row_heading level0 row564\" >f7086e32e70d1bd474debe5553053dbb7a0c09b9</th>\n                        <td id=\"T_015f1_row564_col0\" class=\"data row564 col0\" >1515</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row565\" class=\"row_heading level0 row565\" >8a92863c27ea14d4435762bc1fc700e743845ea2</th>\n                        <td id=\"T_015f1_row565_col0\" class=\"data row565 col0\" >1510</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row566\" class=\"row_heading level0 row566\" >36c724fbf6ad6ec9bc344eb294d7ccaab6a0ac89</th>\n                        <td id=\"T_015f1_row566_col0\" class=\"data row566 col0\" >1510</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row567\" class=\"row_heading level0 row567\" >4869fc196d482be16a5f1867b3036d18c0a6436c</th>\n                        <td id=\"T_015f1_row567_col0\" class=\"data row567 col0\" >1499</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row568\" class=\"row_heading level0 row568\" >8329789acdab218996262d0bb85d25451cf6a17c</th>\n                        <td id=\"T_015f1_row568_col0\" class=\"data row568 col0\" >1497</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row569\" class=\"row_heading level0 row569\" >34fa25445fb58e85e6e49df4c1d84b83bf94a310</th>\n                        <td id=\"T_015f1_row569_col0\" class=\"data row569 col0\" >1494</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row570\" class=\"row_heading level0 row570\" >a0e0c026f2a73de7df30848deab757dadf7539d1</th>\n                        <td id=\"T_015f1_row570_col0\" class=\"data row570 col0\" >1493</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row571\" class=\"row_heading level0 row571\" >46dddb684b47bb978fdec005f38cd49c987e8b91</th>\n                        <td id=\"T_015f1_row571_col0\" class=\"data row571 col0\" >1490</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row572\" class=\"row_heading level0 row572\" >caf4c37d898a8544b0d98edb202507d8097f2e33</th>\n                        <td id=\"T_015f1_row572_col0\" class=\"data row572 col0\" >1486</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row573\" class=\"row_heading level0 row573\" >d83fb86e76fb23d7de54d1ce215b1690e34f3aae</th>\n                        <td id=\"T_015f1_row573_col0\" class=\"data row573 col0\" >1485</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row574\" class=\"row_heading level0 row574\" >bad2fcc7737d8e2c26bb53f6e143f465484d3920</th>\n                        <td id=\"T_015f1_row574_col0\" class=\"data row574 col0\" >1484</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row575\" class=\"row_heading level0 row575\" >e8af39b7dfe78bd5413b4af4a667d052e8cbaa77</th>\n                        <td id=\"T_015f1_row575_col0\" class=\"data row575 col0\" >1483</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row576\" class=\"row_heading level0 row576\" >285cdac12c1f62863c42e4698394ad5182f55687</th>\n                        <td id=\"T_015f1_row576_col0\" class=\"data row576 col0\" >1476</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row577\" class=\"row_heading level0 row577\" >94681cc13d15a92bbf07ad90e90049569994982e</th>\n                        <td id=\"T_015f1_row577_col0\" class=\"data row577 col0\" >1475</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row578\" class=\"row_heading level0 row578\" >f1bd91a2f6751faf2e12d4148bda5a419188fb90</th>\n                        <td id=\"T_015f1_row578_col0\" class=\"data row578 col0\" >1475</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row579\" class=\"row_heading level0 row579\" >0489782c0949a75a43da32cf6defd66e9ffd4f59</th>\n                        <td id=\"T_015f1_row579_col0\" class=\"data row579 col0\" >1473</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row580\" class=\"row_heading level0 row580\" >93dcf9f3ffa932065ec1e7391cfd87afd1ad1374</th>\n                        <td id=\"T_015f1_row580_col0\" class=\"data row580 col0\" >1471</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row581\" class=\"row_heading level0 row581\" >8e913a6c5302ecae9dcd6076843a4c04218d53cd</th>\n                        <td id=\"T_015f1_row581_col0\" class=\"data row581 col0\" >1471</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row582\" class=\"row_heading level0 row582\" >6350f07552fda4c9c10ef19e1087da458645da8a</th>\n                        <td id=\"T_015f1_row582_col0\" class=\"data row582 col0\" >1470</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row583\" class=\"row_heading level0 row583\" >d45ca29a7a3bf7ad81d3b94566a8c79463112fbc</th>\n                        <td id=\"T_015f1_row583_col0\" class=\"data row583 col0\" >1466</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row584\" class=\"row_heading level0 row584\" >57290977ad70b322595e54de3623f48db7e2dc2b</th>\n                        <td id=\"T_015f1_row584_col0\" class=\"data row584 col0\" >1462</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row585\" class=\"row_heading level0 row585\" >c048bff2a8b698e9357b50885365c417bf670213</th>\n                        <td id=\"T_015f1_row585_col0\" class=\"data row585 col0\" >1461</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row586\" class=\"row_heading level0 row586\" >d14eb72711398d2b2337eccc4f3790fa7f534f5f</th>\n                        <td id=\"T_015f1_row586_col0\" class=\"data row586 col0\" >1460</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row587\" class=\"row_heading level0 row587\" >ee38886d0f4958ba0dd7197b072d2182c5259a87</th>\n                        <td id=\"T_015f1_row587_col0\" class=\"data row587 col0\" >1456</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row588\" class=\"row_heading level0 row588\" >72d79e029accf1776a91a955e9f7b2e01b95565e</th>\n                        <td id=\"T_015f1_row588_col0\" class=\"data row588 col0\" >1450</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row589\" class=\"row_heading level0 row589\" >6953ea15c2f2d947e1affb04b64aaf9b38856d28</th>\n                        <td id=\"T_015f1_row589_col0\" class=\"data row589 col0\" >1447</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row590\" class=\"row_heading level0 row590\" >f41aaeaf44808e7a7665a27f68df03db8ac77708</th>\n                        <td id=\"T_015f1_row590_col0\" class=\"data row590 col0\" >1445</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row591\" class=\"row_heading level0 row591\" >054639db76db4b40ae6ae4dcc615a661b3c1f532</th>\n                        <td id=\"T_015f1_row591_col0\" class=\"data row591 col0\" >1443</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row592\" class=\"row_heading level0 row592\" >3bb746eaa26010fcc06521266049c328e8e2ebff</th>\n                        <td id=\"T_015f1_row592_col0\" class=\"data row592 col0\" >1438</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row593\" class=\"row_heading level0 row593\" >0697d08b2741a320bcdcbb9624caca0e3a415356</th>\n                        <td id=\"T_015f1_row593_col0\" class=\"data row593 col0\" >1438</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row594\" class=\"row_heading level0 row594\" >6caa1eff718640a4d35f444481ac01fd5827aa16</th>\n                        <td id=\"T_015f1_row594_col0\" class=\"data row594 col0\" >1436</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row595\" class=\"row_heading level0 row595\" >d060216023d1f200ab0e567db9080d0512012dab</th>\n                        <td id=\"T_015f1_row595_col0\" class=\"data row595 col0\" >1435</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row596\" class=\"row_heading level0 row596\" >6e620e961256a77f983b0801e4eea93a0b22713e</th>\n                        <td id=\"T_015f1_row596_col0\" class=\"data row596 col0\" >1434</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row597\" class=\"row_heading level0 row597\" >bd8142625065f4677e0c23d3bc5cc9a5ae37c5af</th>\n                        <td id=\"T_015f1_row597_col0\" class=\"data row597 col0\" >1433</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row598\" class=\"row_heading level0 row598\" >3eb34667700b5851a02680c0d0d10249ee697032</th>\n                        <td id=\"T_015f1_row598_col0\" class=\"data row598 col0\" >1433</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row599\" class=\"row_heading level0 row599\" >267eaf73afe0e64fd2f330535e9958fdc893a93f</th>\n                        <td id=\"T_015f1_row599_col0\" class=\"data row599 col0\" >1432</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row600\" class=\"row_heading level0 row600\" >39341f741354e67b5550a733276aa0ec48749640</th>\n                        <td id=\"T_015f1_row600_col0\" class=\"data row600 col0\" >1431</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row601\" class=\"row_heading level0 row601\" >68690a13a8d7164205c5ccb902393eb6392428fb</th>\n                        <td id=\"T_015f1_row601_col0\" class=\"data row601 col0\" >1430</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row602\" class=\"row_heading level0 row602\" >d934bca40d7812c56c53965c4083d676e6bb8276</th>\n                        <td id=\"T_015f1_row602_col0\" class=\"data row602 col0\" >1429</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row603\" class=\"row_heading level0 row603\" >39d5d9e3c67115b98e89f19d25c908c99d627b21</th>\n                        <td id=\"T_015f1_row603_col0\" class=\"data row603 col0\" >1429</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row604\" class=\"row_heading level0 row604\" >5c2779b69279b29ca08c65f04aa57c66d2244ba0</th>\n                        <td id=\"T_015f1_row604_col0\" class=\"data row604 col0\" >1428</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row605\" class=\"row_heading level0 row605\" >169479ef75a2db149091129bc2e009b0c3f26f9f</th>\n                        <td id=\"T_015f1_row605_col0\" class=\"data row605 col0\" >1428</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row606\" class=\"row_heading level0 row606\" >288862256f960e03d44ab2f7d1eb2fb2db9f2eae</th>\n                        <td id=\"T_015f1_row606_col0\" class=\"data row606 col0\" >1427</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row607\" class=\"row_heading level0 row607\" >67d2b03be1fd343064db3c2895fedde9d8f74839</th>\n                        <td id=\"T_015f1_row607_col0\" class=\"data row607 col0\" >1426</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row608\" class=\"row_heading level0 row608\" >b73302fbe890fd365898f2fbc3aacba986fbea4b</th>\n                        <td id=\"T_015f1_row608_col0\" class=\"data row608 col0\" >1425</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row609\" class=\"row_heading level0 row609\" >a19dac7dbdfd5b1628917159bb0333d0b4248b01</th>\n                        <td id=\"T_015f1_row609_col0\" class=\"data row609 col0\" >1424</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row610\" class=\"row_heading level0 row610\" >ed996cbd1eb9d4b63427f2a395b3afee91f682a4</th>\n                        <td id=\"T_015f1_row610_col0\" class=\"data row610 col0\" >1419</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row611\" class=\"row_heading level0 row611\" >db9c05bd401e8034b37239c5d019ba4d101e8904</th>\n                        <td id=\"T_015f1_row611_col0\" class=\"data row611 col0\" >1417</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row612\" class=\"row_heading level0 row612\" >78ee95ef130eda7e8272684ca440e09d6839dca5</th>\n                        <td id=\"T_015f1_row612_col0\" class=\"data row612 col0\" >1416</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row613\" class=\"row_heading level0 row613\" >dcbfb2771db32722e0a6b037dba1a41974fb17f2</th>\n                        <td id=\"T_015f1_row613_col0\" class=\"data row613 col0\" >1415</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row614\" class=\"row_heading level0 row614\" >56c9b3f12ea50cc029bd7d503a77a670341d1d43</th>\n                        <td id=\"T_015f1_row614_col0\" class=\"data row614 col0\" >1414</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row615\" class=\"row_heading level0 row615\" >d22be9e9af16662ec23e88146fd1ff658a5a7dcc</th>\n                        <td id=\"T_015f1_row615_col0\" class=\"data row615 col0\" >1414</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row616\" class=\"row_heading level0 row616\" >eaf9174e872315c3630f8cfbf81d08cf582da8d4</th>\n                        <td id=\"T_015f1_row616_col0\" class=\"data row616 col0\" >1410</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row617\" class=\"row_heading level0 row617\" >11b29720f56e05203439593fc1d09d068c370362</th>\n                        <td id=\"T_015f1_row617_col0\" class=\"data row617 col0\" >1410</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row618\" class=\"row_heading level0 row618\" >d026e6f8d2120aef5f49f71032d0842c65f21084</th>\n                        <td id=\"T_015f1_row618_col0\" class=\"data row618 col0\" >1409</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row619\" class=\"row_heading level0 row619\" >11ee5a7bcc33630821f55783947909ad6f64a3c0</th>\n                        <td id=\"T_015f1_row619_col0\" class=\"data row619 col0\" >1409</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row620\" class=\"row_heading level0 row620\" >eaf4bbde9fea8eaeda6ff9f0af06afd79f0adc01</th>\n                        <td id=\"T_015f1_row620_col0\" class=\"data row620 col0\" >1405</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row621\" class=\"row_heading level0 row621\" >dd0fc566fba09b1c787e21fac957a9132e70a0b1</th>\n                        <td id=\"T_015f1_row621_col0\" class=\"data row621 col0\" >1404</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row622\" class=\"row_heading level0 row622\" >5675bd356d70194b25d58778e4bda725455c8bf8</th>\n                        <td id=\"T_015f1_row622_col0\" class=\"data row622 col0\" >1399</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row623\" class=\"row_heading level0 row623\" >10bae54946b5b77e8dd6b95fe42eeca3fdb5e0cf</th>\n                        <td id=\"T_015f1_row623_col0\" class=\"data row623 col0\" >1394</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row624\" class=\"row_heading level0 row624\" >5abe9b0c9f421b4c1581a9e801b1786c0a20e272</th>\n                        <td id=\"T_015f1_row624_col0\" class=\"data row624 col0\" >1393</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row625\" class=\"row_heading level0 row625\" >50b11caaaabb8934d19e99b0dc6cadb4ea516eaa</th>\n                        <td id=\"T_015f1_row625_col0\" class=\"data row625 col0\" >1390</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row626\" class=\"row_heading level0 row626\" >d7e9b02e68a4625a7ace5decdcaf4013a40eb1dd</th>\n                        <td id=\"T_015f1_row626_col0\" class=\"data row626 col0\" >1390</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row627\" class=\"row_heading level0 row627\" >b896a2a793aa802db868a7a0fdb29204bde99065</th>\n                        <td id=\"T_015f1_row627_col0\" class=\"data row627 col0\" >1390</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row628\" class=\"row_heading level0 row628\" >ea950fdfe174caa330ad082bc5099fda7bc8a236</th>\n                        <td id=\"T_015f1_row628_col0\" class=\"data row628 col0\" >1379</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row629\" class=\"row_heading level0 row629\" >40a9263b2f4e0ed0476fd5f52428e573427a54a7</th>\n                        <td id=\"T_015f1_row629_col0\" class=\"data row629 col0\" >1379</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row630\" class=\"row_heading level0 row630\" >60486781563e45fd73ac9038bf87249e1ee1e106</th>\n                        <td id=\"T_015f1_row630_col0\" class=\"data row630 col0\" >1378</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row631\" class=\"row_heading level0 row631\" >cb7c0d32ada93bf41f44aa2b37a5c584e894e040</th>\n                        <td id=\"T_015f1_row631_col0\" class=\"data row631 col0\" >1376</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row632\" class=\"row_heading level0 row632\" >a9349ee0d1a1056265aa478e1b8162f0e9823921</th>\n                        <td id=\"T_015f1_row632_col0\" class=\"data row632 col0\" >1376</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row633\" class=\"row_heading level0 row633\" >1a11be1c59c0057a3468722ca654f596fc846f7f</th>\n                        <td id=\"T_015f1_row633_col0\" class=\"data row633 col0\" >1373</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row634\" class=\"row_heading level0 row634\" >2aaf2ffd96ed70b9b9061cee68fe2df8150db3e3</th>\n                        <td id=\"T_015f1_row634_col0\" class=\"data row634 col0\" >1367</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row635\" class=\"row_heading level0 row635\" >dbd15d19abe3f9062b14bc403a499a66aa46cf26</th>\n                        <td id=\"T_015f1_row635_col0\" class=\"data row635 col0\" >1367</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row636\" class=\"row_heading level0 row636\" >955c269857431ffe26a78dcf54267eb1908d7b29</th>\n                        <td id=\"T_015f1_row636_col0\" class=\"data row636 col0\" >1365</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row637\" class=\"row_heading level0 row637\" >cbcbcb7063c7be4fa4230a7ea032cd8964ec5ebe</th>\n                        <td id=\"T_015f1_row637_col0\" class=\"data row637 col0\" >1364</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row638\" class=\"row_heading level0 row638\" >c89453b4f0bde9488ef373a40d8821f4bf81beae</th>\n                        <td id=\"T_015f1_row638_col0\" class=\"data row638 col0\" >1362</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row639\" class=\"row_heading level0 row639\" >045ef6205f933119d7e186aa4e55fd6737cffe48</th>\n                        <td id=\"T_015f1_row639_col0\" class=\"data row639 col0\" >1361</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row640\" class=\"row_heading level0 row640\" >afb145cf150c6345686e30b2565e282c0f7c696f</th>\n                        <td id=\"T_015f1_row640_col0\" class=\"data row640 col0\" >1361</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row641\" class=\"row_heading level0 row641\" >cad4a88efef2989c5b08969bdf826f055c33b1b4</th>\n                        <td id=\"T_015f1_row641_col0\" class=\"data row641 col0\" >1360</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row642\" class=\"row_heading level0 row642\" >92a2f4eec56163703abf7fa0aaf61937facdd3f6</th>\n                        <td id=\"T_015f1_row642_col0\" class=\"data row642 col0\" >1358</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row643\" class=\"row_heading level0 row643\" >c827eea7ca136decc74de46f6d98a9d0315ccb45</th>\n                        <td id=\"T_015f1_row643_col0\" class=\"data row643 col0\" >1355</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row644\" class=\"row_heading level0 row644\" >d6d9a9d1631310c04ef2c04e0f68430b405526a4</th>\n                        <td id=\"T_015f1_row644_col0\" class=\"data row644 col0\" >1355</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row645\" class=\"row_heading level0 row645\" >5fb57c47b20944c48078ab510e7c8eb8055d24a7</th>\n                        <td id=\"T_015f1_row645_col0\" class=\"data row645 col0\" >1354</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row646\" class=\"row_heading level0 row646\" >aeb320aaf4227a9c2aebbfdee9dfd7bd5c083848</th>\n                        <td id=\"T_015f1_row646_col0\" class=\"data row646 col0\" >1353</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row647\" class=\"row_heading level0 row647\" >70e4c3bf5952930bc1f3bb7fc32d51b4328b74b2</th>\n                        <td id=\"T_015f1_row647_col0\" class=\"data row647 col0\" >1351</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row648\" class=\"row_heading level0 row648\" >cbab1d8c6eb34917dc210c44430e58c283013de8</th>\n                        <td id=\"T_015f1_row648_col0\" class=\"data row648 col0\" >1348</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row649\" class=\"row_heading level0 row649\" >6fb2dc223caa9605b42d79bda27a6743ebc82065</th>\n                        <td id=\"T_015f1_row649_col0\" class=\"data row649 col0\" >1347</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row650\" class=\"row_heading level0 row650\" >32e4d3e636293aef4f3cc572d0c4e0532e907bde</th>\n                        <td id=\"T_015f1_row650_col0\" class=\"data row650 col0\" >1345</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row651\" class=\"row_heading level0 row651\" >e829f87e488259792196ca04baa24dd26e5ba8bc</th>\n                        <td id=\"T_015f1_row651_col0\" class=\"data row651 col0\" >1345</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row652\" class=\"row_heading level0 row652\" >ae08fe80b63f1befd67db9a7880f4c76b34300c9</th>\n                        <td id=\"T_015f1_row652_col0\" class=\"data row652 col0\" >1342</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row653\" class=\"row_heading level0 row653\" >73edd09835f1a135f53fed3d140abc2d99280399</th>\n                        <td id=\"T_015f1_row653_col0\" class=\"data row653 col0\" >1338</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row654\" class=\"row_heading level0 row654\" >961ae5c1f60b834a2fb2712c306c7e40276a2e91</th>\n                        <td id=\"T_015f1_row654_col0\" class=\"data row654 col0\" >1338</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row655\" class=\"row_heading level0 row655\" >33cff93335660f2487602723d80ea611a7b2e2f9</th>\n                        <td id=\"T_015f1_row655_col0\" class=\"data row655 col0\" >1336</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row656\" class=\"row_heading level0 row656\" >cfd3fcdc2c11ac731d0a29e765e82bf2f3181283</th>\n                        <td id=\"T_015f1_row656_col0\" class=\"data row656 col0\" >1334</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row657\" class=\"row_heading level0 row657\" >cbfa7d5cffed462ce7ff1e5ceda1d5536b315031</th>\n                        <td id=\"T_015f1_row657_col0\" class=\"data row657 col0\" >1334</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row658\" class=\"row_heading level0 row658\" >b4380bc57e44971c65e21229bcad27c580e71d79</th>\n                        <td id=\"T_015f1_row658_col0\" class=\"data row658 col0\" >1329</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row659\" class=\"row_heading level0 row659\" >bab518dcd363ffabaa102e752d4bf954f8215f72</th>\n                        <td id=\"T_015f1_row659_col0\" class=\"data row659 col0\" >1329</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row660\" class=\"row_heading level0 row660\" >b86b2253d96800af0e77766412d677265b8467a9</th>\n                        <td id=\"T_015f1_row660_col0\" class=\"data row660 col0\" >1329</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row661\" class=\"row_heading level0 row661\" >68d3a0a05bc8c9f39467f25247e4982a711fc63e</th>\n                        <td id=\"T_015f1_row661_col0\" class=\"data row661 col0\" >1328</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row662\" class=\"row_heading level0 row662\" >568ec799c7fba15a6b161b08eed9de98fb3f8f50</th>\n                        <td id=\"T_015f1_row662_col0\" class=\"data row662 col0\" >1325</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row663\" class=\"row_heading level0 row663\" >87888db3253c59408a155e98d5a4bc0e3dc4535a</th>\n                        <td id=\"T_015f1_row663_col0\" class=\"data row663 col0\" >1325</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row664\" class=\"row_heading level0 row664\" >b2c5eb922b7654f2b255b32ffdb96c7538567558</th>\n                        <td id=\"T_015f1_row664_col0\" class=\"data row664 col0\" >1322</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row665\" class=\"row_heading level0 row665\" >2e5db380194ac208177bdbdc28e5b2c84b48be14</th>\n                        <td id=\"T_015f1_row665_col0\" class=\"data row665 col0\" >1321</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row666\" class=\"row_heading level0 row666\" >3c3f92975f731b7b7244d5dfc280076b446510f0</th>\n                        <td id=\"T_015f1_row666_col0\" class=\"data row666 col0\" >1317</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row667\" class=\"row_heading level0 row667\" >2894412c71123e5b9b424d954dc07389af7c999e</th>\n                        <td id=\"T_015f1_row667_col0\" class=\"data row667 col0\" >1316</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row668\" class=\"row_heading level0 row668\" >b55e68c29f639c2e9fbe951f32585e0ac8048a45</th>\n                        <td id=\"T_015f1_row668_col0\" class=\"data row668 col0\" >1312</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row669\" class=\"row_heading level0 row669\" >df9f77aab0ec4c21ecb2cd5c3067cf7581cab4d6</th>\n                        <td id=\"T_015f1_row669_col0\" class=\"data row669 col0\" >1311</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row670\" class=\"row_heading level0 row670\" >353b26721e24546d44979be16afe68fe8e469594</th>\n                        <td id=\"T_015f1_row670_col0\" class=\"data row670 col0\" >1307</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row671\" class=\"row_heading level0 row671\" >3023d848231c23be1508a3d179fcfc8e1bd88308</th>\n                        <td id=\"T_015f1_row671_col0\" class=\"data row671 col0\" >1307</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row672\" class=\"row_heading level0 row672\" >9944ce7ab46e9ad522a9aaf2327fd795ae42c006</th>\n                        <td id=\"T_015f1_row672_col0\" class=\"data row672 col0\" >1303</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row673\" class=\"row_heading level0 row673\" >f3512ab824a4f1a7399c5c04cc0142f0ec0b9df2</th>\n                        <td id=\"T_015f1_row673_col0\" class=\"data row673 col0\" >1302</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row674\" class=\"row_heading level0 row674\" >b21bd80e857f993f0385fef27d7636533af87db0</th>\n                        <td id=\"T_015f1_row674_col0\" class=\"data row674 col0\" >1301</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row675\" class=\"row_heading level0 row675\" >d53898dec304a9c9acccc0179f0541254994b9fe</th>\n                        <td id=\"T_015f1_row675_col0\" class=\"data row675 col0\" >1301</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row676\" class=\"row_heading level0 row676\" >06e02065793833706e3045b5c5a0b7c645ec76b2</th>\n                        <td id=\"T_015f1_row676_col0\" class=\"data row676 col0\" >1301</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row677\" class=\"row_heading level0 row677\" >1f6187b5a484f10cf8ee49b0483e1aefe6b2ada8</th>\n                        <td id=\"T_015f1_row677_col0\" class=\"data row677 col0\" >1300</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row678\" class=\"row_heading level0 row678\" >30ff46262a48e2a6161019d64d790cf19e19dd53</th>\n                        <td id=\"T_015f1_row678_col0\" class=\"data row678 col0\" >1295</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row679\" class=\"row_heading level0 row679\" >db2bf922c080968f358472fc60a4eaccafc215da</th>\n                        <td id=\"T_015f1_row679_col0\" class=\"data row679 col0\" >1293</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row680\" class=\"row_heading level0 row680\" >2cd9127d8307f1ffdc25327f0d14c38eb93753e8</th>\n                        <td id=\"T_015f1_row680_col0\" class=\"data row680 col0\" >1292</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row681\" class=\"row_heading level0 row681\" >b550acc32dcc2b1726425312c5bfe19805047b39</th>\n                        <td id=\"T_015f1_row681_col0\" class=\"data row681 col0\" >1292</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row682\" class=\"row_heading level0 row682\" >bb92225a7f19430eac540651807e1bee4424a233</th>\n                        <td id=\"T_015f1_row682_col0\" class=\"data row682 col0\" >1290</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row683\" class=\"row_heading level0 row683\" >cd6f31d2f563bd985c004e2967c0a8728664befa</th>\n                        <td id=\"T_015f1_row683_col0\" class=\"data row683 col0\" >1290</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row684\" class=\"row_heading level0 row684\" >9846e4e9714b57491be0326297102a938b1b65d3</th>\n                        <td id=\"T_015f1_row684_col0\" class=\"data row684 col0\" >1290</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row685\" class=\"row_heading level0 row685\" >90be7817304c9774d9d8502b68c3fe5d606619e9</th>\n                        <td id=\"T_015f1_row685_col0\" class=\"data row685 col0\" >1289</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row686\" class=\"row_heading level0 row686\" >0a23758a5622e59426bd94da6702cf3262acb80d</th>\n                        <td id=\"T_015f1_row686_col0\" class=\"data row686 col0\" >1288</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row687\" class=\"row_heading level0 row687\" >c1023eac917a0a67930add5bf24fbfc7bb9eb5f2</th>\n                        <td id=\"T_015f1_row687_col0\" class=\"data row687 col0\" >1286</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row688\" class=\"row_heading level0 row688\" >5a1432d626e13770f303225e32a27f3287f405dc</th>\n                        <td id=\"T_015f1_row688_col0\" class=\"data row688 col0\" >1285</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row689\" class=\"row_heading level0 row689\" >fc3d2bcb5b4c430d360981e81d5dd3afb486887c</th>\n                        <td id=\"T_015f1_row689_col0\" class=\"data row689 col0\" >1285</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row690\" class=\"row_heading level0 row690\" >c90cd4db681cc113a5a4ccb983e36ce767e7c8f3</th>\n                        <td id=\"T_015f1_row690_col0\" class=\"data row690 col0\" >1285</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row691\" class=\"row_heading level0 row691\" >b54e5e8cf4157d89de6d7ac03bfb555819a14f23</th>\n                        <td id=\"T_015f1_row691_col0\" class=\"data row691 col0\" >1284</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row692\" class=\"row_heading level0 row692\" >6d236c2591283a3c040341b01c424267d98e77eb</th>\n                        <td id=\"T_015f1_row692_col0\" class=\"data row692 col0\" >1283</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row693\" class=\"row_heading level0 row693\" >b1c2f3f7edeaca4fb5cab105a7e75fe3dab8e532</th>\n                        <td id=\"T_015f1_row693_col0\" class=\"data row693 col0\" >1282</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row694\" class=\"row_heading level0 row694\" >29fbb6e4c43ceca86657bd242fd67eb5b97b97ba</th>\n                        <td id=\"T_015f1_row694_col0\" class=\"data row694 col0\" >1281</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row695\" class=\"row_heading level0 row695\" >6b614b4d6a79dc2d12958881c41a28c11e955e0f</th>\n                        <td id=\"T_015f1_row695_col0\" class=\"data row695 col0\" >1276</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row696\" class=\"row_heading level0 row696\" >24b3f5cc0a5fe1beb238b1ced0e722bcdc8faa88</th>\n                        <td id=\"T_015f1_row696_col0\" class=\"data row696 col0\" >1276</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row697\" class=\"row_heading level0 row697\" >5c547ee7bec2229ebdf91fa4c1fb93644f30652e</th>\n                        <td id=\"T_015f1_row697_col0\" class=\"data row697 col0\" >1275</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row698\" class=\"row_heading level0 row698\" >8ac1353113662ef60ea50ecc34f110fa922963a0</th>\n                        <td id=\"T_015f1_row698_col0\" class=\"data row698 col0\" >1275</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row699\" class=\"row_heading level0 row699\" >64ab291428bc630f95d122e2224100db83d21bc9</th>\n                        <td id=\"T_015f1_row699_col0\" class=\"data row699 col0\" >1274</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row700\" class=\"row_heading level0 row700\" >8464ea586ee5479e1250f938d7c01e9bc68cefe8</th>\n                        <td id=\"T_015f1_row700_col0\" class=\"data row700 col0\" >1273</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row701\" class=\"row_heading level0 row701\" >5c6073f84f826777aeb0d458fab8af0ee0601f93</th>\n                        <td id=\"T_015f1_row701_col0\" class=\"data row701 col0\" >1273</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row702\" class=\"row_heading level0 row702\" >1716f6964059dcf719b04fdf90f527b33936b644</th>\n                        <td id=\"T_015f1_row702_col0\" class=\"data row702 col0\" >1272</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row703\" class=\"row_heading level0 row703\" >cbc6658be86ed0a5f49e670dcdb61924eee2ba0a</th>\n                        <td id=\"T_015f1_row703_col0\" class=\"data row703 col0\" >1269</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row704\" class=\"row_heading level0 row704\" >6aeeef455689e43f811721d692c0f76f43fdda7f</th>\n                        <td id=\"T_015f1_row704_col0\" class=\"data row704 col0\" >1269</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row705\" class=\"row_heading level0 row705\" >b669f5001e1c185d1fce08d43d77fe40eded8b18</th>\n                        <td id=\"T_015f1_row705_col0\" class=\"data row705 col0\" >1267</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row706\" class=\"row_heading level0 row706\" >b369a53308605593bfdb343e867ba8e6655f1fe2</th>\n                        <td id=\"T_015f1_row706_col0\" class=\"data row706 col0\" >1267</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row707\" class=\"row_heading level0 row707\" >b9a16757b1ee48f2de3198b259d6236e28af6d62</th>\n                        <td id=\"T_015f1_row707_col0\" class=\"data row707 col0\" >1266</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row708\" class=\"row_heading level0 row708\" >2c2969a226f4951211e7a68f5d0d04591edfff92</th>\n                        <td id=\"T_015f1_row708_col0\" class=\"data row708 col0\" >1265</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row709\" class=\"row_heading level0 row709\" >342d1bda7b93a729f475b53ca92f32afe403fe83</th>\n                        <td id=\"T_015f1_row709_col0\" class=\"data row709 col0\" >1265</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row710\" class=\"row_heading level0 row710\" >3ef9e807414a069dd4dcd23b1c5aef9529efd5f6</th>\n                        <td id=\"T_015f1_row710_col0\" class=\"data row710 col0\" >1262</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row711\" class=\"row_heading level0 row711\" >0d22d098d33a2b3ba059f1d9809e45661ef24739</th>\n                        <td id=\"T_015f1_row711_col0\" class=\"data row711 col0\" >1261</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row712\" class=\"row_heading level0 row712\" >b218c32d0db89838040a81d6e33219477341f6c7</th>\n                        <td id=\"T_015f1_row712_col0\" class=\"data row712 col0\" >1261</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row713\" class=\"row_heading level0 row713\" >f1f56ac7fe18e856e95df678e91356532369bd92</th>\n                        <td id=\"T_015f1_row713_col0\" class=\"data row713 col0\" >1258</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row714\" class=\"row_heading level0 row714\" >d0448902209137942c85ee5c34fdc9e77b90fa3c</th>\n                        <td id=\"T_015f1_row714_col0\" class=\"data row714 col0\" >1258</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row715\" class=\"row_heading level0 row715\" >df6e6948474071301e5af126ccf82436227de48c</th>\n                        <td id=\"T_015f1_row715_col0\" class=\"data row715 col0\" >1257</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row716\" class=\"row_heading level0 row716\" >f896736dc2581cbbedfc486c6b1a7e98d9bdde7f</th>\n                        <td id=\"T_015f1_row716_col0\" class=\"data row716 col0\" >1255</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row717\" class=\"row_heading level0 row717\" >8d62c359632fdd988c4eedc2392fa2fec0dc2f22</th>\n                        <td id=\"T_015f1_row717_col0\" class=\"data row717 col0\" >1253</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row718\" class=\"row_heading level0 row718\" >5b19322b33f8551bd17f4cca5dd1c164ab7ca59f</th>\n                        <td id=\"T_015f1_row718_col0\" class=\"data row718 col0\" >1252</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row719\" class=\"row_heading level0 row719\" >1e10f0386854e58a5d81c13c76409217721d494f</th>\n                        <td id=\"T_015f1_row719_col0\" class=\"data row719 col0\" >1251</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row720\" class=\"row_heading level0 row720\" >efd6b1c9868a0311dc3ea91421c735baf013acd2</th>\n                        <td id=\"T_015f1_row720_col0\" class=\"data row720 col0\" >1250</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row721\" class=\"row_heading level0 row721\" >028a310e23177c3747d37971678dd964ee28ce17</th>\n                        <td id=\"T_015f1_row721_col0\" class=\"data row721 col0\" >1247</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row722\" class=\"row_heading level0 row722\" >00bcc61bdea4d52d050822d66952dd707c2fcdf3</th>\n                        <td id=\"T_015f1_row722_col0\" class=\"data row722 col0\" >1247</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row723\" class=\"row_heading level0 row723\" >86fbc9d659081f7496d25057e5b42c67dcd2e7bd</th>\n                        <td id=\"T_015f1_row723_col0\" class=\"data row723 col0\" >1244</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row724\" class=\"row_heading level0 row724\" >d40668b21ab42db06c14ef871db9916ff9536eb5</th>\n                        <td id=\"T_015f1_row724_col0\" class=\"data row724 col0\" >1244</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row725\" class=\"row_heading level0 row725\" >19b7053e57f4bf183d1e4addca8ef9c155598ac5</th>\n                        <td id=\"T_015f1_row725_col0\" class=\"data row725 col0\" >1242</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row726\" class=\"row_heading level0 row726\" >a3b99fa358735107a850939f2ca6efc54b861100</th>\n                        <td id=\"T_015f1_row726_col0\" class=\"data row726 col0\" >1242</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row727\" class=\"row_heading level0 row727\" >8c584d606c197d5c6d2bf059b0db388b1aa2f882</th>\n                        <td id=\"T_015f1_row727_col0\" class=\"data row727 col0\" >1241</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row728\" class=\"row_heading level0 row728\" >a170873904e368c75b2bb45fa6c99dce2d81136c</th>\n                        <td id=\"T_015f1_row728_col0\" class=\"data row728 col0\" >1241</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row729\" class=\"row_heading level0 row729\" >0ae129da9fb6e90b624d53a7e34a3edbb0a7244b</th>\n                        <td id=\"T_015f1_row729_col0\" class=\"data row729 col0\" >1241</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row730\" class=\"row_heading level0 row730\" >4779c423af989d257c7945d1263bfe9e00503946</th>\n                        <td id=\"T_015f1_row730_col0\" class=\"data row730 col0\" >1239</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row731\" class=\"row_heading level0 row731\" >e2b3696ea54ea6aa3ea1e5fe204baceddf681888</th>\n                        <td id=\"T_015f1_row731_col0\" class=\"data row731 col0\" >1236</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row732\" class=\"row_heading level0 row732\" >fc220d338e3959a9f25a2dbeae7b69d6fed647b3</th>\n                        <td id=\"T_015f1_row732_col0\" class=\"data row732 col0\" >1234</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row733\" class=\"row_heading level0 row733\" >871e0262a3611b2fa73b762068119bf94ee3bc97</th>\n                        <td id=\"T_015f1_row733_col0\" class=\"data row733 col0\" >1234</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row734\" class=\"row_heading level0 row734\" >00ad587dcb9c7ce3788b92e22777a22ee0efea31</th>\n                        <td id=\"T_015f1_row734_col0\" class=\"data row734 col0\" >1233</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row735\" class=\"row_heading level0 row735\" >cd8810491c2d5531e425ee686e61d3060bf13ed9</th>\n                        <td id=\"T_015f1_row735_col0\" class=\"data row735 col0\" >1233</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row736\" class=\"row_heading level0 row736\" >e6586e8c7ff3f3888c39cf0c73460df54dc0d951</th>\n                        <td id=\"T_015f1_row736_col0\" class=\"data row736 col0\" >1233</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row737\" class=\"row_heading level0 row737\" >60314ab282cdcb7b9b6eafba1a2410b54e192572</th>\n                        <td id=\"T_015f1_row737_col0\" class=\"data row737 col0\" >1232</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row738\" class=\"row_heading level0 row738\" >5ff5473f488316b5854e6e95af280ef1db505052</th>\n                        <td id=\"T_015f1_row738_col0\" class=\"data row738 col0\" >1231</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row739\" class=\"row_heading level0 row739\" >899954c287cb41ab8f1fd69b6c7e2bdee6c1ca59</th>\n                        <td id=\"T_015f1_row739_col0\" class=\"data row739 col0\" >1230</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row740\" class=\"row_heading level0 row740\" >8feb4eb0197ac7900953c000677dbc88cc7ef85d</th>\n                        <td id=\"T_015f1_row740_col0\" class=\"data row740 col0\" >1230</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row741\" class=\"row_heading level0 row741\" >9874b715c22c380173e843483cb61f1628317f2f</th>\n                        <td id=\"T_015f1_row741_col0\" class=\"data row741 col0\" >1230</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row742\" class=\"row_heading level0 row742\" >e28b88af1d39d48658860e9a82f45597643fcbf4</th>\n                        <td id=\"T_015f1_row742_col0\" class=\"data row742 col0\" >1226</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row743\" class=\"row_heading level0 row743\" >60176450b094ffca7d3acb2414acf82581d5813f</th>\n                        <td id=\"T_015f1_row743_col0\" class=\"data row743 col0\" >1226</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row744\" class=\"row_heading level0 row744\" >db82f437c50c454e665546477893ca944e4fdedf</th>\n                        <td id=\"T_015f1_row744_col0\" class=\"data row744 col0\" >1222</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row745\" class=\"row_heading level0 row745\" >dbcb76538295fe7d231aa80ad0f677ffe0cb46c2</th>\n                        <td id=\"T_015f1_row745_col0\" class=\"data row745 col0\" >1218</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row746\" class=\"row_heading level0 row746\" >6f797cac85ad20eccf7c04c065bed40014cf296b</th>\n                        <td id=\"T_015f1_row746_col0\" class=\"data row746 col0\" >1217</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row747\" class=\"row_heading level0 row747\" >569b9dc11ec4070e279449a1673bc13c34ea38c3</th>\n                        <td id=\"T_015f1_row747_col0\" class=\"data row747 col0\" >1216</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row748\" class=\"row_heading level0 row748\" >3ac3aff784fd9cefbc9bfd63e1574fe8ced37b68</th>\n                        <td id=\"T_015f1_row748_col0\" class=\"data row748 col0\" >1216</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row749\" class=\"row_heading level0 row749\" >a4e52e503b6edc041739f3e68addff5bdf047b6b</th>\n                        <td id=\"T_015f1_row749_col0\" class=\"data row749 col0\" >1214</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row750\" class=\"row_heading level0 row750\" >069d1a6cd62e727b197abd1c5efb2f678157150a</th>\n                        <td id=\"T_015f1_row750_col0\" class=\"data row750 col0\" >1214</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row751\" class=\"row_heading level0 row751\" >d046fcde63af95aa4a4b4b09e871eeb3228c3560</th>\n                        <td id=\"T_015f1_row751_col0\" class=\"data row751 col0\" >1211</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row752\" class=\"row_heading level0 row752\" >365544221bea97f50150a27a96fe47f5aec30c06</th>\n                        <td id=\"T_015f1_row752_col0\" class=\"data row752 col0\" >1209</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row753\" class=\"row_heading level0 row753\" >fd179c5e4fd5e33493ae290adbbda2950ecf0427</th>\n                        <td id=\"T_015f1_row753_col0\" class=\"data row753 col0\" >1208</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row754\" class=\"row_heading level0 row754\" >8871a212fde81a8b7b0b93bd7a6f75c2534b310b</th>\n                        <td id=\"T_015f1_row754_col0\" class=\"data row754 col0\" >1206</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row755\" class=\"row_heading level0 row755\" >7b819a0594451b33ba9db79f4253533ae0566ae9</th>\n                        <td id=\"T_015f1_row755_col0\" class=\"data row755 col0\" >1206</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row756\" class=\"row_heading level0 row756\" >3c6695768483eb6b30d3e6f40f1bfde02e740e62</th>\n                        <td id=\"T_015f1_row756_col0\" class=\"data row756 col0\" >1205</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row757\" class=\"row_heading level0 row757\" >a68ce588ca3280f448ac4c0ec3f7695bdf7a99e9</th>\n                        <td id=\"T_015f1_row757_col0\" class=\"data row757 col0\" >1204</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row758\" class=\"row_heading level0 row758\" >dc97deb45434baf99895a794192c210a22bf35df</th>\n                        <td id=\"T_015f1_row758_col0\" class=\"data row758 col0\" >1201</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row759\" class=\"row_heading level0 row759\" >1b51d55a893a54033a8bc88278c2d0ad7ee87b35</th>\n                        <td id=\"T_015f1_row759_col0\" class=\"data row759 col0\" >1200</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row760\" class=\"row_heading level0 row760\" >1d14b137ab03637ad1bb542d4acd1c515c2fc195</th>\n                        <td id=\"T_015f1_row760_col0\" class=\"data row760 col0\" >1199</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row761\" class=\"row_heading level0 row761\" >8b4b95e5b6842b2d34128e942c2fc3ca551f2386</th>\n                        <td id=\"T_015f1_row761_col0\" class=\"data row761 col0\" >1198</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row762\" class=\"row_heading level0 row762\" >d35c7a50e9f33f6a920b4a4140e5b37132ce3dc1</th>\n                        <td id=\"T_015f1_row762_col0\" class=\"data row762 col0\" >1196</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row763\" class=\"row_heading level0 row763\" >7cf4cbc4dc9d809ffadae403bfb2232841907ef5</th>\n                        <td id=\"T_015f1_row763_col0\" class=\"data row763 col0\" >1195</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row764\" class=\"row_heading level0 row764\" >e89feb765372e0707043c6298ec8bdf70d04ed87</th>\n                        <td id=\"T_015f1_row764_col0\" class=\"data row764 col0\" >1194</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row765\" class=\"row_heading level0 row765\" >73ac5c0e176fd5f4cf78ba3c62905c87134d9c7e</th>\n                        <td id=\"T_015f1_row765_col0\" class=\"data row765 col0\" >1193</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row766\" class=\"row_heading level0 row766\" >8ee3c33d99fdc8b15e0d106bf707e43e2d0866a9</th>\n                        <td id=\"T_015f1_row766_col0\" class=\"data row766 col0\" >1190</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row767\" class=\"row_heading level0 row767\" >4281cba285ae36bdec81f9d32088929a9eca619e</th>\n                        <td id=\"T_015f1_row767_col0\" class=\"data row767 col0\" >1190</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row768\" class=\"row_heading level0 row768\" >639c4006a6b837f762033fee794a03b7c101645f</th>\n                        <td id=\"T_015f1_row768_col0\" class=\"data row768 col0\" >1189</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row769\" class=\"row_heading level0 row769\" >b2f52ccdef3b56c8695baf0ddda300938eab81ad</th>\n                        <td id=\"T_015f1_row769_col0\" class=\"data row769 col0\" >1184</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row770\" class=\"row_heading level0 row770\" >e16fac100910e989377afb090ec954958c6520f8</th>\n                        <td id=\"T_015f1_row770_col0\" class=\"data row770 col0\" >1182</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row771\" class=\"row_heading level0 row771\" >9adda3499866380c28f87519c8d9acc3c6033809</th>\n                        <td id=\"T_015f1_row771_col0\" class=\"data row771 col0\" >1180</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row772\" class=\"row_heading level0 row772\" >323607d8444900d64151ee06d164738ac727bbce</th>\n                        <td id=\"T_015f1_row772_col0\" class=\"data row772 col0\" >1180</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row773\" class=\"row_heading level0 row773\" >34d480125c656175a1464e110e26597c520ce0a3</th>\n                        <td id=\"T_015f1_row773_col0\" class=\"data row773 col0\" >1177</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row774\" class=\"row_heading level0 row774\" >7a95cc097f0cc3b73e6294b66191617ed27513e9</th>\n                        <td id=\"T_015f1_row774_col0\" class=\"data row774 col0\" >1176</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row775\" class=\"row_heading level0 row775\" >3c818275348ed44996f3c1d4adecf26bde7eaf36</th>\n                        <td id=\"T_015f1_row775_col0\" class=\"data row775 col0\" >1174</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row776\" class=\"row_heading level0 row776\" >f912a7dfa6d1797d774fff0b9f4e4f5cbed4a981</th>\n                        <td id=\"T_015f1_row776_col0\" class=\"data row776 col0\" >1171</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row777\" class=\"row_heading level0 row777\" >381e5b7bc9493f99d8c1d823ec49dcae540d91e0</th>\n                        <td id=\"T_015f1_row777_col0\" class=\"data row777 col0\" >1170</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row778\" class=\"row_heading level0 row778\" >7ff6898b2910ead1eedb62960dd3f02dfabf669d</th>\n                        <td id=\"T_015f1_row778_col0\" class=\"data row778 col0\" >1169</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row779\" class=\"row_heading level0 row779\" >aa06bb847e57b590229d854f60e7965881c39bc9</th>\n                        <td id=\"T_015f1_row779_col0\" class=\"data row779 col0\" >1167</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row780\" class=\"row_heading level0 row780\" >41515f6ea505b50a591da37a53be8e0c448e1ee5</th>\n                        <td id=\"T_015f1_row780_col0\" class=\"data row780 col0\" >1167</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row781\" class=\"row_heading level0 row781\" >4e9e62dc67a0ab626e381b4b597c85036474686f</th>\n                        <td id=\"T_015f1_row781_col0\" class=\"data row781 col0\" >1163</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row782\" class=\"row_heading level0 row782\" >c70a6973225a173d7a0f74ca0ff93d07d140ed9d</th>\n                        <td id=\"T_015f1_row782_col0\" class=\"data row782 col0\" >1163</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row783\" class=\"row_heading level0 row783\" >ba1ee5b98773ff9e8c16fec1ded93b5295a5f487</th>\n                        <td id=\"T_015f1_row783_col0\" class=\"data row783 col0\" >1157</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row784\" class=\"row_heading level0 row784\" >398b6d36d804b02dbf68e8fad39659af9ad16aef</th>\n                        <td id=\"T_015f1_row784_col0\" class=\"data row784 col0\" >1154</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row785\" class=\"row_heading level0 row785\" >f2e910cbcef80943c7283e39adca7b974055e82c</th>\n                        <td id=\"T_015f1_row785_col0\" class=\"data row785 col0\" >1152</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row786\" class=\"row_heading level0 row786\" >1d067d90fd180e2de69d53c8f42bf26176fcd0f8</th>\n                        <td id=\"T_015f1_row786_col0\" class=\"data row786 col0\" >1151</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row787\" class=\"row_heading level0 row787\" >0e5814f651b6a398edeaaa76c4a6d3d2920be890</th>\n                        <td id=\"T_015f1_row787_col0\" class=\"data row787 col0\" >1149</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row788\" class=\"row_heading level0 row788\" >0a92e69e85c964ee03c2d7f290b977d05a2b3444</th>\n                        <td id=\"T_015f1_row788_col0\" class=\"data row788 col0\" >1148</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row789\" class=\"row_heading level0 row789\" >ca64296b4333e4ad6d31a9b5b18891e60248a5a5</th>\n                        <td id=\"T_015f1_row789_col0\" class=\"data row789 col0\" >1148</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row790\" class=\"row_heading level0 row790\" >ed912805f0a8c14f9d344941eb895bb718bf5d4b</th>\n                        <td id=\"T_015f1_row790_col0\" class=\"data row790 col0\" >1146</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row791\" class=\"row_heading level0 row791\" >73417e9243abd5402d33a83243c7b97042c17663</th>\n                        <td id=\"T_015f1_row791_col0\" class=\"data row791 col0\" >1144</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row792\" class=\"row_heading level0 row792\" >5ff6e3f676160afdabff591bdf582b01028749eb</th>\n                        <td id=\"T_015f1_row792_col0\" class=\"data row792 col0\" >1143</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row793\" class=\"row_heading level0 row793\" >f8a80be7fc2a0a4aaa438b6366abfada7b566cd6</th>\n                        <td id=\"T_015f1_row793_col0\" class=\"data row793 col0\" >1143</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row794\" class=\"row_heading level0 row794\" >2f3c7bdb7cef7dbee88bd04571b0ed64dcf5f5c7</th>\n                        <td id=\"T_015f1_row794_col0\" class=\"data row794 col0\" >1142</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row795\" class=\"row_heading level0 row795\" >ebf9ded75b34b20ce698b5dff3e65582eea1a659</th>\n                        <td id=\"T_015f1_row795_col0\" class=\"data row795 col0\" >1137</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row796\" class=\"row_heading level0 row796\" >b831c303c1abd40fd8b242f902b6d900bca585af</th>\n                        <td id=\"T_015f1_row796_col0\" class=\"data row796 col0\" >1133</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row797\" class=\"row_heading level0 row797\" >58f01d7d71a5b84f6be28fa2e0923b3444637280</th>\n                        <td id=\"T_015f1_row797_col0\" class=\"data row797 col0\" >1132</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row798\" class=\"row_heading level0 row798\" >01d2f676abab6ec03ec5dc696bfd49d66e392ea1</th>\n                        <td id=\"T_015f1_row798_col0\" class=\"data row798 col0\" >1131</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row799\" class=\"row_heading level0 row799\" >c019d44e14694078f097933f3766c5d997a07d43</th>\n                        <td id=\"T_015f1_row799_col0\" class=\"data row799 col0\" >1130</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row800\" class=\"row_heading level0 row800\" >16f784df42e07d8bb8cf954e768166f988b6ca80</th>\n                        <td id=\"T_015f1_row800_col0\" class=\"data row800 col0\" >1130</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row801\" class=\"row_heading level0 row801\" >bb5bd44c66d7c376dd4a350bcf598af29af74fdc</th>\n                        <td id=\"T_015f1_row801_col0\" class=\"data row801 col0\" >1130</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row802\" class=\"row_heading level0 row802\" >584f44ed88f51e7ecf3c550df2301db3166a5aa1</th>\n                        <td id=\"T_015f1_row802_col0\" class=\"data row802 col0\" >1129</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row803\" class=\"row_heading level0 row803\" >2bfa91c7f173dbc6d1acadb5ba6bd03dcbc9af39</th>\n                        <td id=\"T_015f1_row803_col0\" class=\"data row803 col0\" >1128</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row804\" class=\"row_heading level0 row804\" >b374df87a70770cdb53534a2ac210d2221649780</th>\n                        <td id=\"T_015f1_row804_col0\" class=\"data row804 col0\" >1126</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row805\" class=\"row_heading level0 row805\" >a830915240b76b1da7286b938f5178b244d29b29</th>\n                        <td id=\"T_015f1_row805_col0\" class=\"data row805 col0\" >1124</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row806\" class=\"row_heading level0 row806\" >56f1eb9a1835641b240079081312a288dd1c902c</th>\n                        <td id=\"T_015f1_row806_col0\" class=\"data row806 col0\" >1124</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row807\" class=\"row_heading level0 row807\" >b6901adad3af22019bf4a7b862a585275cf247f3</th>\n                        <td id=\"T_015f1_row807_col0\" class=\"data row807 col0\" >1122</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row808\" class=\"row_heading level0 row808\" >8d8caa754528e2b2eee8bf2b6362bc950968c959</th>\n                        <td id=\"T_015f1_row808_col0\" class=\"data row808 col0\" >1121</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row809\" class=\"row_heading level0 row809\" >aa7d495e7f62658fe8be9ebe0cfec9e26bf4c07e</th>\n                        <td id=\"T_015f1_row809_col0\" class=\"data row809 col0\" >1121</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row810\" class=\"row_heading level0 row810\" >c9f41cb33bf95e1f44c59ccc41011eaeb2dadfca</th>\n                        <td id=\"T_015f1_row810_col0\" class=\"data row810 col0\" >1120</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row811\" class=\"row_heading level0 row811\" >149c09a117b9851201c75f97b4a7cc94b75fdcb4</th>\n                        <td id=\"T_015f1_row811_col0\" class=\"data row811 col0\" >1119</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row812\" class=\"row_heading level0 row812\" >18043de4122a4b6599cc0750ca0427b2a5d7f49e</th>\n                        <td id=\"T_015f1_row812_col0\" class=\"data row812 col0\" >1119</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row813\" class=\"row_heading level0 row813\" >cb30eb64ca02035697d8187c8ead05ce4d8d772b</th>\n                        <td id=\"T_015f1_row813_col0\" class=\"data row813 col0\" >1115</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row814\" class=\"row_heading level0 row814\" >60210e8c383d286113182241bdf78acb3697b294</th>\n                        <td id=\"T_015f1_row814_col0\" class=\"data row814 col0\" >1113</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row815\" class=\"row_heading level0 row815\" >93ee7fb4a8b245a824cacb7de7665c606edb08f5</th>\n                        <td id=\"T_015f1_row815_col0\" class=\"data row815 col0\" >1113</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row816\" class=\"row_heading level0 row816\" >f06f238633347196b8fe23eb225bad350cf43322</th>\n                        <td id=\"T_015f1_row816_col0\" class=\"data row816 col0\" >1112</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row817\" class=\"row_heading level0 row817\" >524adb9add1079ddd0428c596143e33977e4e36d</th>\n                        <td id=\"T_015f1_row817_col0\" class=\"data row817 col0\" >1112</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row818\" class=\"row_heading level0 row818\" >c2f60ab72a28ad3da155a5c7c591aae9d5e00061</th>\n                        <td id=\"T_015f1_row818_col0\" class=\"data row818 col0\" >1111</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row819\" class=\"row_heading level0 row819\" >6a11813dce1e80e15cb78efd8d70fd515cd54a71</th>\n                        <td id=\"T_015f1_row819_col0\" class=\"data row819 col0\" >1109</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row820\" class=\"row_heading level0 row820\" >1290ce7d7e17eed000ac5928f4f32f681c660d12</th>\n                        <td id=\"T_015f1_row820_col0\" class=\"data row820 col0\" >1109</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row821\" class=\"row_heading level0 row821\" >51368a6e7478780aef119e0931f4933d779d73c8</th>\n                        <td id=\"T_015f1_row821_col0\" class=\"data row821 col0\" >1108</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row822\" class=\"row_heading level0 row822\" >f4668f6fc8626fd484b7e08101fff4226606c73b</th>\n                        <td id=\"T_015f1_row822_col0\" class=\"data row822 col0\" >1105</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row823\" class=\"row_heading level0 row823\" >7ffa5b99ee9c58b098c425b5ab314536b63af212</th>\n                        <td id=\"T_015f1_row823_col0\" class=\"data row823 col0\" >1105</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row824\" class=\"row_heading level0 row824\" >d363ebdcc60c21f4a1ba386399be4ecac077b4ab</th>\n                        <td id=\"T_015f1_row824_col0\" class=\"data row824 col0\" >1104</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row825\" class=\"row_heading level0 row825\" >f5989b9cbcf767a6ed0a81b898d56711af71b43a</th>\n                        <td id=\"T_015f1_row825_col0\" class=\"data row825 col0\" >1104</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row826\" class=\"row_heading level0 row826\" >bda24ccbf03b623c166f47381ff8dc1f015becfb</th>\n                        <td id=\"T_015f1_row826_col0\" class=\"data row826 col0\" >1102</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row827\" class=\"row_heading level0 row827\" >54c9fb0d4b835217cfa0b9f7e8164dd162bb7b43</th>\n                        <td id=\"T_015f1_row827_col0\" class=\"data row827 col0\" >1102</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row828\" class=\"row_heading level0 row828\" >9ce8bcbc19e89aed9bed2e58f51579f2dbdbf835</th>\n                        <td id=\"T_015f1_row828_col0\" class=\"data row828 col0\" >1102</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row829\" class=\"row_heading level0 row829\" >95410888a49789e997c8956c44405129a489438a</th>\n                        <td id=\"T_015f1_row829_col0\" class=\"data row829 col0\" >1100</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row830\" class=\"row_heading level0 row830\" >a706447dc85c9d39c5894c652fe728a48b945118</th>\n                        <td id=\"T_015f1_row830_col0\" class=\"data row830 col0\" >1100</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row831\" class=\"row_heading level0 row831\" >12b84c152a88b83c6ebbfa5a427101d14a3ed941</th>\n                        <td id=\"T_015f1_row831_col0\" class=\"data row831 col0\" >1099</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row832\" class=\"row_heading level0 row832\" >74c4e087344750594d9118bfb6f5320c138b4fd2</th>\n                        <td id=\"T_015f1_row832_col0\" class=\"data row832 col0\" >1099</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row833\" class=\"row_heading level0 row833\" >d81bdded0c98594fe74b3aca8038766fc765e8b1</th>\n                        <td id=\"T_015f1_row833_col0\" class=\"data row833 col0\" >1099</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row834\" class=\"row_heading level0 row834\" >050bf0c3db9a1017be0fc746de7b5c1a68a918a7</th>\n                        <td id=\"T_015f1_row834_col0\" class=\"data row834 col0\" >1098</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row835\" class=\"row_heading level0 row835\" >8a771a59db10ce9d4de4a8ad836d23896738e02d</th>\n                        <td id=\"T_015f1_row835_col0\" class=\"data row835 col0\" >1097</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row836\" class=\"row_heading level0 row836\" >cbb49b7e29b7be130de2d517b006e7cdc8fd9244</th>\n                        <td id=\"T_015f1_row836_col0\" class=\"data row836 col0\" >1096</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row837\" class=\"row_heading level0 row837\" >92f388b46b7e8a0470190423905c4a77ecee483b</th>\n                        <td id=\"T_015f1_row837_col0\" class=\"data row837 col0\" >1096</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row838\" class=\"row_heading level0 row838\" >46e733fa58deea74d962874847a529fb4897e655</th>\n                        <td id=\"T_015f1_row838_col0\" class=\"data row838 col0\" >1096</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row839\" class=\"row_heading level0 row839\" >fe3211f90e4ab1f500e10fe175ae6142f4b13130</th>\n                        <td id=\"T_015f1_row839_col0\" class=\"data row839 col0\" >1095</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row840\" class=\"row_heading level0 row840\" >fc1782881eb28f50538fabd8215708d30e73d2e6</th>\n                        <td id=\"T_015f1_row840_col0\" class=\"data row840 col0\" >1093</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row841\" class=\"row_heading level0 row841\" >9ca64b8506ab226aa7382a2a14256de770c4ec7b</th>\n                        <td id=\"T_015f1_row841_col0\" class=\"data row841 col0\" >1092</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row842\" class=\"row_heading level0 row842\" >fdb1ad87bd6fb08014267f2586faeed0edc7412b</th>\n                        <td id=\"T_015f1_row842_col0\" class=\"data row842 col0\" >1090</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row843\" class=\"row_heading level0 row843\" >04af33baa87957b484fdf8d5f17a64f972af7f2b</th>\n                        <td id=\"T_015f1_row843_col0\" class=\"data row843 col0\" >1087</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row844\" class=\"row_heading level0 row844\" >2d31218895f6e15cd3c80d5c298103155ed4256c</th>\n                        <td id=\"T_015f1_row844_col0\" class=\"data row844 col0\" >1087</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row845\" class=\"row_heading level0 row845\" >ffa41c79865d7fb336f586e0dec8b080db1027fb</th>\n                        <td id=\"T_015f1_row845_col0\" class=\"data row845 col0\" >1085</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row846\" class=\"row_heading level0 row846\" >376acb5fa9a351344c60d3eddef8a6e75ef8943f</th>\n                        <td id=\"T_015f1_row846_col0\" class=\"data row846 col0\" >1084</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row847\" class=\"row_heading level0 row847\" >d5bf50dcc4349981556dd7a70b38699df5d78149</th>\n                        <td id=\"T_015f1_row847_col0\" class=\"data row847 col0\" >1083</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row848\" class=\"row_heading level0 row848\" >e95694a0427c449c60cc5a66d0b83e3a2c7616b1</th>\n                        <td id=\"T_015f1_row848_col0\" class=\"data row848 col0\" >1083</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row849\" class=\"row_heading level0 row849\" >7ff6dc072ab78c4ece184ec846d1f43f45c5c6c6</th>\n                        <td id=\"T_015f1_row849_col0\" class=\"data row849 col0\" >1082</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row850\" class=\"row_heading level0 row850\" >a93282167f20443c8aefd8ba1ec5acabef6a9745</th>\n                        <td id=\"T_015f1_row850_col0\" class=\"data row850 col0\" >1078</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row851\" class=\"row_heading level0 row851\" >170666b28105d4de067ac45a212d15d95969c46d</th>\n                        <td id=\"T_015f1_row851_col0\" class=\"data row851 col0\" >1077</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row852\" class=\"row_heading level0 row852\" >ca86c5b074c5768e481e069b751bf22c6d95bd48</th>\n                        <td id=\"T_015f1_row852_col0\" class=\"data row852 col0\" >1076</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row853\" class=\"row_heading level0 row853\" >af03d645e2ce58455848037f78dc79d962ec95d2</th>\n                        <td id=\"T_015f1_row853_col0\" class=\"data row853 col0\" >1076</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row854\" class=\"row_heading level0 row854\" >44d12358a989274930feef5ac3e21ef3c81269c5</th>\n                        <td id=\"T_015f1_row854_col0\" class=\"data row854 col0\" >1073</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row855\" class=\"row_heading level0 row855\" >097599fa8b0d2bb4426ba0dae5ca9e578cdb8149</th>\n                        <td id=\"T_015f1_row855_col0\" class=\"data row855 col0\" >1073</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row856\" class=\"row_heading level0 row856\" >1e03d9b22fdd3e0a9141525c2772fe1c82327124</th>\n                        <td id=\"T_015f1_row856_col0\" class=\"data row856 col0\" >1071</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row857\" class=\"row_heading level0 row857\" >d3d056da278ff2975a96a486e4c1f70128570110</th>\n                        <td id=\"T_015f1_row857_col0\" class=\"data row857 col0\" >1071</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row858\" class=\"row_heading level0 row858\" >5a8c96dd8519e257c0c13af51cdf72e89bfc7339</th>\n                        <td id=\"T_015f1_row858_col0\" class=\"data row858 col0\" >1071</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row859\" class=\"row_heading level0 row859\" >e7e37f64d13e4485149cb9174d834a88a98e6f1c</th>\n                        <td id=\"T_015f1_row859_col0\" class=\"data row859 col0\" >1071</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row860\" class=\"row_heading level0 row860\" >28fc1642ddec4455c4fa2f18a04b0b15f1c27bfb</th>\n                        <td id=\"T_015f1_row860_col0\" class=\"data row860 col0\" >1070</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row861\" class=\"row_heading level0 row861\" >bd89d9721a633cd8200d516de07b6a1b597dd898</th>\n                        <td id=\"T_015f1_row861_col0\" class=\"data row861 col0\" >1070</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row862\" class=\"row_heading level0 row862\" >f77895a3af02145a2b5cbbbd1596446a6dcea3b0</th>\n                        <td id=\"T_015f1_row862_col0\" class=\"data row862 col0\" >1068</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row863\" class=\"row_heading level0 row863\" >1b8286ce49240e893317288ec4c13ad463a63829</th>\n                        <td id=\"T_015f1_row863_col0\" class=\"data row863 col0\" >1068</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row864\" class=\"row_heading level0 row864\" >b5ae5dd4cd8ed6d46d5c903021436548aa36bd0b</th>\n                        <td id=\"T_015f1_row864_col0\" class=\"data row864 col0\" >1067</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row865\" class=\"row_heading level0 row865\" >1c229d4aeecc898b349b60d9cc554b0ed00aec0f</th>\n                        <td id=\"T_015f1_row865_col0\" class=\"data row865 col0\" >1066</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row866\" class=\"row_heading level0 row866\" >44d5072935495893994a91b40f7035308d0e351e</th>\n                        <td id=\"T_015f1_row866_col0\" class=\"data row866 col0\" >1066</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row867\" class=\"row_heading level0 row867\" >b919e4ce1450e3554842e5f9108fe1cd837f0f27</th>\n                        <td id=\"T_015f1_row867_col0\" class=\"data row867 col0\" >1063</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row868\" class=\"row_heading level0 row868\" >676713e03f4912455354ee5891c4fa81d99590b4</th>\n                        <td id=\"T_015f1_row868_col0\" class=\"data row868 col0\" >1063</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row869\" class=\"row_heading level0 row869\" >1aac0b6ea3291fc192c79b82dd1dfb1ca02777e0</th>\n                        <td id=\"T_015f1_row869_col0\" class=\"data row869 col0\" >1059</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row870\" class=\"row_heading level0 row870\" >1275fa852bd0c68febf1d8ca38b527c9b2404548</th>\n                        <td id=\"T_015f1_row870_col0\" class=\"data row870 col0\" >1059</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row871\" class=\"row_heading level0 row871\" >b0142e15f0399ba9d029677dc128e918b3c381c0</th>\n                        <td id=\"T_015f1_row871_col0\" class=\"data row871 col0\" >1058</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row872\" class=\"row_heading level0 row872\" >26d7b640f425a95ebb78e5709c545c344371ddb7</th>\n                        <td id=\"T_015f1_row872_col0\" class=\"data row872 col0\" >1057</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row873\" class=\"row_heading level0 row873\" >2d3a8cb74a8e645e04aab7e8761eea3f40ef55ad</th>\n                        <td id=\"T_015f1_row873_col0\" class=\"data row873 col0\" >1056</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row874\" class=\"row_heading level0 row874\" >1bb0e992cff45a54d29e97f47a7d1281435a5e3b</th>\n                        <td id=\"T_015f1_row874_col0\" class=\"data row874 col0\" >1056</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row875\" class=\"row_heading level0 row875\" >3059e02f9d655a9ed62ce80cc53243c2e5bf12e3</th>\n                        <td id=\"T_015f1_row875_col0\" class=\"data row875 col0\" >1055</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row876\" class=\"row_heading level0 row876\" >0be2972e802a68de6066e692b402d75c69b94c33</th>\n                        <td id=\"T_015f1_row876_col0\" class=\"data row876 col0\" >1054</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row877\" class=\"row_heading level0 row877\" >e7d51de6377af781855f5aaddd4772f6182b8d1d</th>\n                        <td id=\"T_015f1_row877_col0\" class=\"data row877 col0\" >1052</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row878\" class=\"row_heading level0 row878\" >bc6c9049fa1d4dc56d50c2c9b8a945c6b09bec2b</th>\n                        <td id=\"T_015f1_row878_col0\" class=\"data row878 col0\" >1051</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row879\" class=\"row_heading level0 row879\" >dcd3c8eccbeaac5dc0da5837f3cf220e8e21f96c</th>\n                        <td id=\"T_015f1_row879_col0\" class=\"data row879 col0\" >1050</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row880\" class=\"row_heading level0 row880\" >fd977a3af7be241a9ed0213acb3aa75e5dc00253</th>\n                        <td id=\"T_015f1_row880_col0\" class=\"data row880 col0\" >1048</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row881\" class=\"row_heading level0 row881\" >795dcb6e8afa4dd1ea0b904edc3f873b6e9fc181</th>\n                        <td id=\"T_015f1_row881_col0\" class=\"data row881 col0\" >1048</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row882\" class=\"row_heading level0 row882\" >011e20ebf721a1c6dfec42e8ed1e2ac566073a2a</th>\n                        <td id=\"T_015f1_row882_col0\" class=\"data row882 col0\" >1046</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row883\" class=\"row_heading level0 row883\" >1665601c2eda5ed92cad8dd4879e46af793bdf8e</th>\n                        <td id=\"T_015f1_row883_col0\" class=\"data row883 col0\" >1046</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row884\" class=\"row_heading level0 row884\" >164cb3a5b9bf5adcf986462d0bfa9b14a2ea0a25</th>\n                        <td id=\"T_015f1_row884_col0\" class=\"data row884 col0\" >1046</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row885\" class=\"row_heading level0 row885\" >a2f926179d8aa42327b394857ee65f1813b77ed6</th>\n                        <td id=\"T_015f1_row885_col0\" class=\"data row885 col0\" >1046</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row886\" class=\"row_heading level0 row886\" >abeeca6a1481027e238057b9f7138b1f5387f242</th>\n                        <td id=\"T_015f1_row886_col0\" class=\"data row886 col0\" >1045</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row887\" class=\"row_heading level0 row887\" >a07406ff086df3d2df63d04334812809daa53b6a</th>\n                        <td id=\"T_015f1_row887_col0\" class=\"data row887 col0\" >1044</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row888\" class=\"row_heading level0 row888\" >75f69e3fdf9308c720dda2a181909df6d635b7de</th>\n                        <td id=\"T_015f1_row888_col0\" class=\"data row888 col0\" >1044</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row889\" class=\"row_heading level0 row889\" >2646b073839a897b777b93e7229f287745c8a2d9</th>\n                        <td id=\"T_015f1_row889_col0\" class=\"data row889 col0\" >1043</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row890\" class=\"row_heading level0 row890\" >b4da4913b5a359be92987efa417537406de5a336</th>\n                        <td id=\"T_015f1_row890_col0\" class=\"data row890 col0\" >1043</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row891\" class=\"row_heading level0 row891\" >f67bdd42a2c664b7283db103b49a2e5d95f53823</th>\n                        <td id=\"T_015f1_row891_col0\" class=\"data row891 col0\" >1043</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row892\" class=\"row_heading level0 row892\" >12255ad2dc5e24065c29137e415fdcc743b03b09</th>\n                        <td id=\"T_015f1_row892_col0\" class=\"data row892 col0\" >1043</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row893\" class=\"row_heading level0 row893\" >07d2809389f6bcb2c232bc28f7457f12d76561a5</th>\n                        <td id=\"T_015f1_row893_col0\" class=\"data row893 col0\" >1042</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row894\" class=\"row_heading level0 row894\" >2d268ddc48e8175bfc83ca04c006be41a76cbd26</th>\n                        <td id=\"T_015f1_row894_col0\" class=\"data row894 col0\" >1041</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row895\" class=\"row_heading level0 row895\" >ee73bc35e856c6ab464b1168ef6be48bc5d49ead</th>\n                        <td id=\"T_015f1_row895_col0\" class=\"data row895 col0\" >1040</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row896\" class=\"row_heading level0 row896\" >1ccfad270acf0c810365000a5b7b1202b946a80c</th>\n                        <td id=\"T_015f1_row896_col0\" class=\"data row896 col0\" >1039</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row897\" class=\"row_heading level0 row897\" >1edd1dad481ddbfb7c7735767a48eb1854ac5ef5</th>\n                        <td id=\"T_015f1_row897_col0\" class=\"data row897 col0\" >1037</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row898\" class=\"row_heading level0 row898\" >2b32d1a7aff3b24e3a2236bf96d7c293ad933c32</th>\n                        <td id=\"T_015f1_row898_col0\" class=\"data row898 col0\" >1035</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row899\" class=\"row_heading level0 row899\" >11a92d7b4a838ff9119cf928c55f91ca353e2c8b</th>\n                        <td id=\"T_015f1_row899_col0\" class=\"data row899 col0\" >1035</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row900\" class=\"row_heading level0 row900\" >0a08023cf58fd597ddf23b45187d9ac255fb8ff2</th>\n                        <td id=\"T_015f1_row900_col0\" class=\"data row900 col0\" >1034</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row901\" class=\"row_heading level0 row901\" >f46a7df23ae1089bf5ac45eca51c05b423ee912c</th>\n                        <td id=\"T_015f1_row901_col0\" class=\"data row901 col0\" >1033</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row902\" class=\"row_heading level0 row902\" >130cf54fc1d3d3c2de2febdf405087bfc0af07f9</th>\n                        <td id=\"T_015f1_row902_col0\" class=\"data row902 col0\" >1032</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row903\" class=\"row_heading level0 row903\" >132b2b96189f2ec6d52bdf5ef1350b0cc32c3b39</th>\n                        <td id=\"T_015f1_row903_col0\" class=\"data row903 col0\" >1031</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row904\" class=\"row_heading level0 row904\" >ed8e8d2a28a421a676fcc831df3d54f5bdd73f4b</th>\n                        <td id=\"T_015f1_row904_col0\" class=\"data row904 col0\" >1029</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row905\" class=\"row_heading level0 row905\" >29ff8189476530f9911ac91136e243c31ed708f3</th>\n                        <td id=\"T_015f1_row905_col0\" class=\"data row905 col0\" >1029</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row906\" class=\"row_heading level0 row906\" >3e8f00d2264d44a94eaf17b4c3912a69755f3f7e</th>\n                        <td id=\"T_015f1_row906_col0\" class=\"data row906 col0\" >1028</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row907\" class=\"row_heading level0 row907\" >8b1a3d0c37552823c9ba241f42a4695b3490117a</th>\n                        <td id=\"T_015f1_row907_col0\" class=\"data row907 col0\" >1027</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row908\" class=\"row_heading level0 row908\" >93c018b147c540cf86fab5b3313c726e6d834bb9</th>\n                        <td id=\"T_015f1_row908_col0\" class=\"data row908 col0\" >1027</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row909\" class=\"row_heading level0 row909\" >3db54c633a9e85ceb2be1fb42ce621b4d8ddae89</th>\n                        <td id=\"T_015f1_row909_col0\" class=\"data row909 col0\" >1026</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row910\" class=\"row_heading level0 row910\" >555f3b025612c4e974002b44557de6f99d6dde10</th>\n                        <td id=\"T_015f1_row910_col0\" class=\"data row910 col0\" >1026</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row911\" class=\"row_heading level0 row911\" >4f80e58ed0dc492a636424eabdca54e7ac793865</th>\n                        <td id=\"T_015f1_row911_col0\" class=\"data row911 col0\" >1026</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row912\" class=\"row_heading level0 row912\" >795d1626c77816f86ac1eb8d78c3101942072533</th>\n                        <td id=\"T_015f1_row912_col0\" class=\"data row912 col0\" >1025</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row913\" class=\"row_heading level0 row913\" >2c790ae489e9ddfa4c3daa4650a81c7802017e83</th>\n                        <td id=\"T_015f1_row913_col0\" class=\"data row913 col0\" >1025</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row914\" class=\"row_heading level0 row914\" >05a83a7c1aeb1f8b9786599a98fda851c649f972</th>\n                        <td id=\"T_015f1_row914_col0\" class=\"data row914 col0\" >1025</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row915\" class=\"row_heading level0 row915\" >92fa127222645a92ea37393b7607e90945faf15d</th>\n                        <td id=\"T_015f1_row915_col0\" class=\"data row915 col0\" >1024</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row916\" class=\"row_heading level0 row916\" >38baca34a3a4b71985364f63e7703dca4102c1ea</th>\n                        <td id=\"T_015f1_row916_col0\" class=\"data row916 col0\" >1024</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row917\" class=\"row_heading level0 row917\" >c547eff4fbfa40a9c01f2245644bd62e12f114f7</th>\n                        <td id=\"T_015f1_row917_col0\" class=\"data row917 col0\" >1024</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row918\" class=\"row_heading level0 row918\" >7dbbd3c8fbb16c74d85427d9e2a3af1448e85742</th>\n                        <td id=\"T_015f1_row918_col0\" class=\"data row918 col0\" >1022</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row919\" class=\"row_heading level0 row919\" >99f977e2743d2837da2220a64e3e1cf670128ee8</th>\n                        <td id=\"T_015f1_row919_col0\" class=\"data row919 col0\" >1022</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row920\" class=\"row_heading level0 row920\" >2c1c9a4126880c99fec3e8e5dcbb081c7b80a75d</th>\n                        <td id=\"T_015f1_row920_col0\" class=\"data row920 col0\" >1021</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row921\" class=\"row_heading level0 row921\" >172b8a530c6f1946a495576ea9e885874db2f288</th>\n                        <td id=\"T_015f1_row921_col0\" class=\"data row921 col0\" >1021</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row922\" class=\"row_heading level0 row922\" >1d46c19cfbaacc249aa686a9b4d78834a4748318</th>\n                        <td id=\"T_015f1_row922_col0\" class=\"data row922 col0\" >1021</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row923\" class=\"row_heading level0 row923\" >5df90113fd5cd4956e5135b4428e61b8ac8bb131</th>\n                        <td id=\"T_015f1_row923_col0\" class=\"data row923 col0\" >1019</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row924\" class=\"row_heading level0 row924\" >d73bd2355a2d42a4e56384a1ed451a10833e6e39</th>\n                        <td id=\"T_015f1_row924_col0\" class=\"data row924 col0\" >1018</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row925\" class=\"row_heading level0 row925\" >dde939787f5816414aa5d3433912063fe46271cf</th>\n                        <td id=\"T_015f1_row925_col0\" class=\"data row925 col0\" >1018</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row926\" class=\"row_heading level0 row926\" >c420057010e6ee7a7f310ea43fb563cf8b84403c</th>\n                        <td id=\"T_015f1_row926_col0\" class=\"data row926 col0\" >1017</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row927\" class=\"row_heading level0 row927\" >21f3a763336708abc51d71bcbe48b925d260d308</th>\n                        <td id=\"T_015f1_row927_col0\" class=\"data row927 col0\" >1016</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row928\" class=\"row_heading level0 row928\" >957e5a532bef0002d98fcb30eaab5bb4b21328f8</th>\n                        <td id=\"T_015f1_row928_col0\" class=\"data row928 col0\" >1016</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row929\" class=\"row_heading level0 row929\" >70d12fc0dd1de471525bdf503281de165f26e1e4</th>\n                        <td id=\"T_015f1_row929_col0\" class=\"data row929 col0\" >1016</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row930\" class=\"row_heading level0 row930\" >2aa08d092d0199c06d22684642ef1c79d9722adb</th>\n                        <td id=\"T_015f1_row930_col0\" class=\"data row930 col0\" >1012</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row931\" class=\"row_heading level0 row931\" >8427be40e53c4ceedf57858018c1e79e65839586</th>\n                        <td id=\"T_015f1_row931_col0\" class=\"data row931 col0\" >1009</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row932\" class=\"row_heading level0 row932\" >62d59ccd131a148d1446fff352b958f6ae3169b3</th>\n                        <td id=\"T_015f1_row932_col0\" class=\"data row932 col0\" >1009</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row933\" class=\"row_heading level0 row933\" >39b659030076131ea5010f0264cb233c0e20757e</th>\n                        <td id=\"T_015f1_row933_col0\" class=\"data row933 col0\" >1008</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row934\" class=\"row_heading level0 row934\" >059ea3d13de011f91587f1d176599605274f8ee8</th>\n                        <td id=\"T_015f1_row934_col0\" class=\"data row934 col0\" >1008</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row935\" class=\"row_heading level0 row935\" >b51737bd5018a4ff3020b5fc9c123f5b117c5947</th>\n                        <td id=\"T_015f1_row935_col0\" class=\"data row935 col0\" >1007</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row936\" class=\"row_heading level0 row936\" >87fdeed43264d9e2fa9d56db007cde1a640a237b</th>\n                        <td id=\"T_015f1_row936_col0\" class=\"data row936 col0\" >1004</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row937\" class=\"row_heading level0 row937\" >ae0cdd92bc54930049e37c6fe795b85993966f61</th>\n                        <td id=\"T_015f1_row937_col0\" class=\"data row937 col0\" >1003</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row938\" class=\"row_heading level0 row938\" >1efaee6f4a0ee182fa8e0bb31069f2d774694553</th>\n                        <td id=\"T_015f1_row938_col0\" class=\"data row938 col0\" >1002</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row939\" class=\"row_heading level0 row939\" >33b89e718e692bd6779eb805a792de8c76d63ce6</th>\n                        <td id=\"T_015f1_row939_col0\" class=\"data row939 col0\" >1002</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row940\" class=\"row_heading level0 row940\" >8916e5c6de1aa3702de8495f22892d325957704f</th>\n                        <td id=\"T_015f1_row940_col0\" class=\"data row940 col0\" >1002</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row941\" class=\"row_heading level0 row941\" >95a44732380454ebe1d1c344961cc7bc7f8ea8e3</th>\n                        <td id=\"T_015f1_row941_col0\" class=\"data row941 col0\" >1000</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row942\" class=\"row_heading level0 row942\" >09350baef72ccfd3aac3e9b2828d37d233c62a1c</th>\n                        <td id=\"T_015f1_row942_col0\" class=\"data row942 col0\" >999</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row943\" class=\"row_heading level0 row943\" >4a5fe6799360d5cf980ab299c2c22e550f4436f9</th>\n                        <td id=\"T_015f1_row943_col0\" class=\"data row943 col0\" >998</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row944\" class=\"row_heading level0 row944\" >e262516cd24833c8452b584fe0bfc3b17c7594d6</th>\n                        <td id=\"T_015f1_row944_col0\" class=\"data row944 col0\" >998</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row945\" class=\"row_heading level0 row945\" >1c50fee00b58324148b576f755fe9842bd859381</th>\n                        <td id=\"T_015f1_row945_col0\" class=\"data row945 col0\" >998</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row946\" class=\"row_heading level0 row946\" >051cc355330a7220c943de347c8c36a7ad30432d</th>\n                        <td id=\"T_015f1_row946_col0\" class=\"data row946 col0\" >997</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row947\" class=\"row_heading level0 row947\" >53eda0ee6dec5c141a0b5c6c25cf5687c473db09</th>\n                        <td id=\"T_015f1_row947_col0\" class=\"data row947 col0\" >997</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row948\" class=\"row_heading level0 row948\" >3dd366030a94631f0eb966b889c815d2b8cf5894</th>\n                        <td id=\"T_015f1_row948_col0\" class=\"data row948 col0\" >997</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row949\" class=\"row_heading level0 row949\" >b342628a930f781186cb16f9f7f032576e20c12e</th>\n                        <td id=\"T_015f1_row949_col0\" class=\"data row949 col0\" >997</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row950\" class=\"row_heading level0 row950\" >90431862956e7ac5095ce42fb7410a72d4581369</th>\n                        <td id=\"T_015f1_row950_col0\" class=\"data row950 col0\" >995</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row951\" class=\"row_heading level0 row951\" >a7fcb78c27be55ce0a98dfa31cecf3d48a7dbca7</th>\n                        <td id=\"T_015f1_row951_col0\" class=\"data row951 col0\" >993</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row952\" class=\"row_heading level0 row952\" >d3b97faf3bd3d708ce5a438e780f55703a8a319b</th>\n                        <td id=\"T_015f1_row952_col0\" class=\"data row952 col0\" >993</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row953\" class=\"row_heading level0 row953\" >6a42281c99a4cff2ce9dba3fc91ad6a431af64d9</th>\n                        <td id=\"T_015f1_row953_col0\" class=\"data row953 col0\" >992</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row954\" class=\"row_heading level0 row954\" >b6fe140d28cc0e9add6a2526ca10f606f8c696d3</th>\n                        <td id=\"T_015f1_row954_col0\" class=\"data row954 col0\" >992</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row955\" class=\"row_heading level0 row955\" >e7476fee09d5ab62974f84b82ee7bba0b58d57df</th>\n                        <td id=\"T_015f1_row955_col0\" class=\"data row955 col0\" >991</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row956\" class=\"row_heading level0 row956\" >9481019e9996b082212eab20f44fb1a6be5bad58</th>\n                        <td id=\"T_015f1_row956_col0\" class=\"data row956 col0\" >991</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row957\" class=\"row_heading level0 row957\" >4d89139ca69acc0a8a762672a822411a769ac266</th>\n                        <td id=\"T_015f1_row957_col0\" class=\"data row957 col0\" >989</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row958\" class=\"row_heading level0 row958\" >36d6ef88fa9f134994420eb51b011e6bd73beddd</th>\n                        <td id=\"T_015f1_row958_col0\" class=\"data row958 col0\" >989</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row959\" class=\"row_heading level0 row959\" >1b76d774360c4cfaf89e75ec3a3add7c5201b885</th>\n                        <td id=\"T_015f1_row959_col0\" class=\"data row959 col0\" >988</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row960\" class=\"row_heading level0 row960\" >40d99a3e5214aa704f637b7d72631e69550ee256</th>\n                        <td id=\"T_015f1_row960_col0\" class=\"data row960 col0\" >987</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row961\" class=\"row_heading level0 row961\" >e723af3ee8766b588d9c696496382f74abaf2ed4</th>\n                        <td id=\"T_015f1_row961_col0\" class=\"data row961 col0\" >986</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row962\" class=\"row_heading level0 row962\" >fe994d2d43075b58afeee240f59149d3bed4660f</th>\n                        <td id=\"T_015f1_row962_col0\" class=\"data row962 col0\" >985</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row963\" class=\"row_heading level0 row963\" >68870898474881668126747d3f20fb6c773a61e7</th>\n                        <td id=\"T_015f1_row963_col0\" class=\"data row963 col0\" >985</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row964\" class=\"row_heading level0 row964\" >b50754336bad56fd9069f4b14bc375140a2d4cbe</th>\n                        <td id=\"T_015f1_row964_col0\" class=\"data row964 col0\" >985</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row965\" class=\"row_heading level0 row965\" >7094d206ecdee85f88e02e35757ab31b1a717ce1</th>\n                        <td id=\"T_015f1_row965_col0\" class=\"data row965 col0\" >985</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row966\" class=\"row_heading level0 row966\" >019f793ca026ac0c1489ba3a199984aa7322ac55</th>\n                        <td id=\"T_015f1_row966_col0\" class=\"data row966 col0\" >984</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row967\" class=\"row_heading level0 row967\" >d41a54c96fd9e42c17ae07a6a20dc76e27b1eeaa</th>\n                        <td id=\"T_015f1_row967_col0\" class=\"data row967 col0\" >984</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row968\" class=\"row_heading level0 row968\" >e312c6417ee799e543339d790b6b51a7057d4d29</th>\n                        <td id=\"T_015f1_row968_col0\" class=\"data row968 col0\" >983</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row969\" class=\"row_heading level0 row969\" >18e94ad67874877aa842ad1ffa29273c7bcdd62d</th>\n                        <td id=\"T_015f1_row969_col0\" class=\"data row969 col0\" >983</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row970\" class=\"row_heading level0 row970\" >bce435ee12b29ad4d543e1418e48fbdea5dfcce2</th>\n                        <td id=\"T_015f1_row970_col0\" class=\"data row970 col0\" >980</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row971\" class=\"row_heading level0 row971\" >c819be27db6a2a0fc7b51b86ea5de9913ee8e976</th>\n                        <td id=\"T_015f1_row971_col0\" class=\"data row971 col0\" >979</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row972\" class=\"row_heading level0 row972\" >c592e53b21dfd7eb1950a6e5fa713a01262f0971</th>\n                        <td id=\"T_015f1_row972_col0\" class=\"data row972 col0\" >979</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row973\" class=\"row_heading level0 row973\" >d940d37824822318e75a99e4d7ce0ec388977177</th>\n                        <td id=\"T_015f1_row973_col0\" class=\"data row973 col0\" >975</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row974\" class=\"row_heading level0 row974\" >77382b959095b32b36f5d62f47807ebfc2e37017</th>\n                        <td id=\"T_015f1_row974_col0\" class=\"data row974 col0\" >975</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row975\" class=\"row_heading level0 row975\" >849955db4cb21ba4003b71e5ce616a4fbf3f68e9</th>\n                        <td id=\"T_015f1_row975_col0\" class=\"data row975 col0\" >973</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row976\" class=\"row_heading level0 row976\" >67b0fd33f6477b116a37cb116b57adcbeb2c4952</th>\n                        <td id=\"T_015f1_row976_col0\" class=\"data row976 col0\" >973</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row977\" class=\"row_heading level0 row977\" >6ec56c3efdeb067eb20bd2f4a6ccdae07d640cc1</th>\n                        <td id=\"T_015f1_row977_col0\" class=\"data row977 col0\" >972</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row978\" class=\"row_heading level0 row978\" >a61c9903400144fb4873bbebe4852c2c000e79a2</th>\n                        <td id=\"T_015f1_row978_col0\" class=\"data row978 col0\" >972</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row979\" class=\"row_heading level0 row979\" >233e21e0bac30bfae3b0d713d98e90b5c39e608b</th>\n                        <td id=\"T_015f1_row979_col0\" class=\"data row979 col0\" >972</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row980\" class=\"row_heading level0 row980\" >1eead281d076113f3db8dd659da51295fb2fa82c</th>\n                        <td id=\"T_015f1_row980_col0\" class=\"data row980 col0\" >968</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row981\" class=\"row_heading level0 row981\" >0708a742aec7f019f3cb0dacd42335802ef3d324</th>\n                        <td id=\"T_015f1_row981_col0\" class=\"data row981 col0\" >966</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row982\" class=\"row_heading level0 row982\" >77f1931fd8a68727188fe2a11141b3c6a2cc1db8</th>\n                        <td id=\"T_015f1_row982_col0\" class=\"data row982 col0\" >966</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row983\" class=\"row_heading level0 row983\" >bfe34ab74bcf8658584571529e09abc2aba033e0</th>\n                        <td id=\"T_015f1_row983_col0\" class=\"data row983 col0\" >966</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row984\" class=\"row_heading level0 row984\" >c08ad78a45798cfe176a42b35c7381ae602711c5</th>\n                        <td id=\"T_015f1_row984_col0\" class=\"data row984 col0\" >965</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row985\" class=\"row_heading level0 row985\" >d32dd11040b254cd889c9ead2d4a50f6e3900196</th>\n                        <td id=\"T_015f1_row985_col0\" class=\"data row985 col0\" >964</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row986\" class=\"row_heading level0 row986\" >82d71314a4a10c238721af0104c15650f9b9ff1b</th>\n                        <td id=\"T_015f1_row986_col0\" class=\"data row986 col0\" >964</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row987\" class=\"row_heading level0 row987\" >5ee75f958530d980fa6c9a7ff53d9a0967975c00</th>\n                        <td id=\"T_015f1_row987_col0\" class=\"data row987 col0\" >963</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row988\" class=\"row_heading level0 row988\" >5f2c7898f4ab6a64a6a0d1d0455c48baa2ae89cf</th>\n                        <td id=\"T_015f1_row988_col0\" class=\"data row988 col0\" >963</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row989\" class=\"row_heading level0 row989\" >f745e26c10cd9356249eaf66bd2b30b4ca6fedf1</th>\n                        <td id=\"T_015f1_row989_col0\" class=\"data row989 col0\" >962</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row990\" class=\"row_heading level0 row990\" >ee9118a7c5bb4f5cf727ca4f2bf2559e4fa73cca</th>\n                        <td id=\"T_015f1_row990_col0\" class=\"data row990 col0\" >962</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row991\" class=\"row_heading level0 row991\" >d237af29bda22db4e53cda910eb715354c67e5f9</th>\n                        <td id=\"T_015f1_row991_col0\" class=\"data row991 col0\" >962</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row992\" class=\"row_heading level0 row992\" >ee5a2d5f3b504769ec7440494cfa4576c2934582</th>\n                        <td id=\"T_015f1_row992_col0\" class=\"data row992 col0\" >962</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row993\" class=\"row_heading level0 row993\" >488c67b452c1e27790b21aae09b920692a461c94</th>\n                        <td id=\"T_015f1_row993_col0\" class=\"data row993 col0\" >959</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row994\" class=\"row_heading level0 row994\" >e32d9e78dd87486b832f7723c916ca93ad686a54</th>\n                        <td id=\"T_015f1_row994_col0\" class=\"data row994 col0\" >959</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row995\" class=\"row_heading level0 row995\" >40469d563203172ce5026dcf8fbd01c2a382c315</th>\n                        <td id=\"T_015f1_row995_col0\" class=\"data row995 col0\" >957</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row996\" class=\"row_heading level0 row996\" >17e9597a21e9085d85d0e3eeb857528a6067ea5c</th>\n                        <td id=\"T_015f1_row996_col0\" class=\"data row996 col0\" >957</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row997\" class=\"row_heading level0 row997\" >780dbab7092458ab46214fdaae4fbd87aaa7a8a6</th>\n                        <td id=\"T_015f1_row997_col0\" class=\"data row997 col0\" >956</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row998\" class=\"row_heading level0 row998\" >87b73e43d586ac602a5ae8834e047e605599a2d1</th>\n                        <td id=\"T_015f1_row998_col0\" class=\"data row998 col0\" >956</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row999\" class=\"row_heading level0 row999\" >a05167aa54002bc5f3b05f02a04416d167793268</th>\n                        <td id=\"T_015f1_row999_col0\" class=\"data row999 col0\" >954</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1000\" class=\"row_heading level0 row1000\" >207781229d24ce81fcf1acf4edb187e9098ffeb4</th>\n                        <td id=\"T_015f1_row1000_col0\" class=\"data row1000 col0\" >954</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1001\" class=\"row_heading level0 row1001\" >dc522df53e28d76a729dc56f81b1295a50ce4289</th>\n                        <td id=\"T_015f1_row1001_col0\" class=\"data row1001 col0\" >954</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1002\" class=\"row_heading level0 row1002\" >9b5fa221ca70b4112140a05be4aca04fcc6a6284</th>\n                        <td id=\"T_015f1_row1002_col0\" class=\"data row1002 col0\" >954</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1003\" class=\"row_heading level0 row1003\" >dc3b0421516fc5fd03368e35683437dfc4730fcb</th>\n                        <td id=\"T_015f1_row1003_col0\" class=\"data row1003 col0\" >954</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1004\" class=\"row_heading level0 row1004\" >bbf4c5abdfc796e178be424efc9c5789487de885</th>\n                        <td id=\"T_015f1_row1004_col0\" class=\"data row1004 col0\" >948</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1005\" class=\"row_heading level0 row1005\" >9baa43ea53b17b875a5e9d7b346eb7a17a147837</th>\n                        <td id=\"T_015f1_row1005_col0\" class=\"data row1005 col0\" >947</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1006\" class=\"row_heading level0 row1006\" >15c9df1d9c38509443a2d4d39ca80ce0cc42ea1c</th>\n                        <td id=\"T_015f1_row1006_col0\" class=\"data row1006 col0\" >947</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1007\" class=\"row_heading level0 row1007\" >ac3f58143d5c21d3a4203d0d6311c7f1e81d72a1</th>\n                        <td id=\"T_015f1_row1007_col0\" class=\"data row1007 col0\" >947</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1008\" class=\"row_heading level0 row1008\" >4b82b58b90f42cf69fb1258b8215584b8b326004</th>\n                        <td id=\"T_015f1_row1008_col0\" class=\"data row1008 col0\" >947</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1009\" class=\"row_heading level0 row1009\" >d30db6f81498ea2f1b5b1496ef47da7c97dd222a</th>\n                        <td id=\"T_015f1_row1009_col0\" class=\"data row1009 col0\" >946</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1010\" class=\"row_heading level0 row1010\" >b17a526713611a0516cadcbbb6f7890643475119</th>\n                        <td id=\"T_015f1_row1010_col0\" class=\"data row1010 col0\" >946</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1011\" class=\"row_heading level0 row1011\" >41d5e67c977d3d040538d2829084484d2c02302b</th>\n                        <td id=\"T_015f1_row1011_col0\" class=\"data row1011 col0\" >945</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1012\" class=\"row_heading level0 row1012\" >bccd6a9054f8649ad43fe96b766687fb769b064f</th>\n                        <td id=\"T_015f1_row1012_col0\" class=\"data row1012 col0\" >945</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1013\" class=\"row_heading level0 row1013\" >ddebbf6314c91ed820c9c64dcc6f38dcb50ce59a</th>\n                        <td id=\"T_015f1_row1013_col0\" class=\"data row1013 col0\" >945</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1014\" class=\"row_heading level0 row1014\" >60cb877272c804a7be6af18a33c4a9e744eb706d</th>\n                        <td id=\"T_015f1_row1014_col0\" class=\"data row1014 col0\" >944</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1015\" class=\"row_heading level0 row1015\" >82e5ed37cfa2d5c2a75ec0668174886f33f25434</th>\n                        <td id=\"T_015f1_row1015_col0\" class=\"data row1015 col0\" >944</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1016\" class=\"row_heading level0 row1016\" >01506a39edc2da8d9003f0f12ce5dcc2e8c2772e</th>\n                        <td id=\"T_015f1_row1016_col0\" class=\"data row1016 col0\" >944</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1017\" class=\"row_heading level0 row1017\" >c06252f47ae31b9bf221588e76f7f929f98fd37f</th>\n                        <td id=\"T_015f1_row1017_col0\" class=\"data row1017 col0\" >942</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1018\" class=\"row_heading level0 row1018\" >a2605aa88d803f0fb9b79c449f049e1e1ec7bcc2</th>\n                        <td id=\"T_015f1_row1018_col0\" class=\"data row1018 col0\" >941</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1019\" class=\"row_heading level0 row1019\" >3175ae1d61c8d7c247d006bedd09a52ed70a9538</th>\n                        <td id=\"T_015f1_row1019_col0\" class=\"data row1019 col0\" >939</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1020\" class=\"row_heading level0 row1020\" >7c572eddccf9b8d9a97e7b1e1c9aa5e0831bb008</th>\n                        <td id=\"T_015f1_row1020_col0\" class=\"data row1020 col0\" >937</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1021\" class=\"row_heading level0 row1021\" >ccb72d20e32993a8015e6886612d8d56e6d393c0</th>\n                        <td id=\"T_015f1_row1021_col0\" class=\"data row1021 col0\" >936</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1022\" class=\"row_heading level0 row1022\" >9d404663da83e8e1c90c8d33c5ad27b4e0763bf5</th>\n                        <td id=\"T_015f1_row1022_col0\" class=\"data row1022 col0\" >935</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1023\" class=\"row_heading level0 row1023\" >509d1f842b0773e85c6beec0bb530542efd35cb9</th>\n                        <td id=\"T_015f1_row1023_col0\" class=\"data row1023 col0\" >935</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1024\" class=\"row_heading level0 row1024\" >975175309f52a0424020db06c9600218c46f5f74</th>\n                        <td id=\"T_015f1_row1024_col0\" class=\"data row1024 col0\" >934</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1025\" class=\"row_heading level0 row1025\" >56b206b82049935c495aa67687652b18f9db9ea4</th>\n                        <td id=\"T_015f1_row1025_col0\" class=\"data row1025 col0\" >934</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1026\" class=\"row_heading level0 row1026\" >f72e76e1198e03e8747cbab7d5eb7c8892236538</th>\n                        <td id=\"T_015f1_row1026_col0\" class=\"data row1026 col0\" >930</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1027\" class=\"row_heading level0 row1027\" >fd0bdf5a4dca2566935b14a78c441846b4fbda57</th>\n                        <td id=\"T_015f1_row1027_col0\" class=\"data row1027 col0\" >929</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1028\" class=\"row_heading level0 row1028\" >06a0c0f87f97918d1642db21285d7182dc1b7d15</th>\n                        <td id=\"T_015f1_row1028_col0\" class=\"data row1028 col0\" >929</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1029\" class=\"row_heading level0 row1029\" >83eb995009dcfb8579702ca9ce81e2f358e2336f</th>\n                        <td id=\"T_015f1_row1029_col0\" class=\"data row1029 col0\" >929</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1030\" class=\"row_heading level0 row1030\" >baea70810408b4f206f7487de8976e8ea8ccd889</th>\n                        <td id=\"T_015f1_row1030_col0\" class=\"data row1030 col0\" >929</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1031\" class=\"row_heading level0 row1031\" >4c85514ddfe86cf7cecadb46d79c8bfac2f0484f</th>\n                        <td id=\"T_015f1_row1031_col0\" class=\"data row1031 col0\" >927</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1032\" class=\"row_heading level0 row1032\" >b3da1ff8ec1bb1ce2e5abb25189ea7714a785c4a</th>\n                        <td id=\"T_015f1_row1032_col0\" class=\"data row1032 col0\" >926</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1033\" class=\"row_heading level0 row1033\" >5ec0a4efa27caa4b4a5c297bf445cd4783bf7648</th>\n                        <td id=\"T_015f1_row1033_col0\" class=\"data row1033 col0\" >925</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1034\" class=\"row_heading level0 row1034\" >9626a88d8e71075e12a0a1a613ff853aa8ba0b88</th>\n                        <td id=\"T_015f1_row1034_col0\" class=\"data row1034 col0\" >923</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1035\" class=\"row_heading level0 row1035\" >2299fd1345e8b151ce70b4ceb7d45e0c808ddb6b</th>\n                        <td id=\"T_015f1_row1035_col0\" class=\"data row1035 col0\" >921</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1036\" class=\"row_heading level0 row1036\" >239aa463b5d8bd6b6299ca071f1352edba2b7b2a</th>\n                        <td id=\"T_015f1_row1036_col0\" class=\"data row1036 col0\" >920</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1037\" class=\"row_heading level0 row1037\" >3080feff9c733f60a61c88f12c8302c86beaead9</th>\n                        <td id=\"T_015f1_row1037_col0\" class=\"data row1037 col0\" >919</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1038\" class=\"row_heading level0 row1038\" >371ea524d2f20f0cc46dc1174225d3b9b92500f4</th>\n                        <td id=\"T_015f1_row1038_col0\" class=\"data row1038 col0\" >919</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1039\" class=\"row_heading level0 row1039\" >3d8e9fd3c6263b10ad2e1602ea2a57e7cb305aea</th>\n                        <td id=\"T_015f1_row1039_col0\" class=\"data row1039 col0\" >918</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1040\" class=\"row_heading level0 row1040\" >a9ad34318c21c9d2cf778794658856848cf22429</th>\n                        <td id=\"T_015f1_row1040_col0\" class=\"data row1040 col0\" >917</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1041\" class=\"row_heading level0 row1041\" >5cccfe53e07c1393975f21fcf1858bebcc2bea45</th>\n                        <td id=\"T_015f1_row1041_col0\" class=\"data row1041 col0\" >916</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1042\" class=\"row_heading level0 row1042\" >66a4b16427762fde0f0c398050b53c86cb9a01a4</th>\n                        <td id=\"T_015f1_row1042_col0\" class=\"data row1042 col0\" >914</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1043\" class=\"row_heading level0 row1043\" >fd83a61cb82476f0ad6af28c4cd5872f285fd104</th>\n                        <td id=\"T_015f1_row1043_col0\" class=\"data row1043 col0\" >913</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1044\" class=\"row_heading level0 row1044\" >bf5d379ec05832574625371f22f443e0957f8168</th>\n                        <td id=\"T_015f1_row1044_col0\" class=\"data row1044 col0\" >913</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1045\" class=\"row_heading level0 row1045\" >6251aa4de3b89d79bd84445f3cac10c09be1290c</th>\n                        <td id=\"T_015f1_row1045_col0\" class=\"data row1045 col0\" >913</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1046\" class=\"row_heading level0 row1046\" >0dccf4e04e2cbddba355afa970b7111325c0152e</th>\n                        <td id=\"T_015f1_row1046_col0\" class=\"data row1046 col0\" >913</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1047\" class=\"row_heading level0 row1047\" >44209b9b79a9bff3b9ee5e5c19394882690eace4</th>\n                        <td id=\"T_015f1_row1047_col0\" class=\"data row1047 col0\" >912</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1048\" class=\"row_heading level0 row1048\" >fab1c11279f2124fef4ca2fd91bf64ae003f7db2</th>\n                        <td id=\"T_015f1_row1048_col0\" class=\"data row1048 col0\" >912</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1049\" class=\"row_heading level0 row1049\" >de2d12ef031d897c193833cc07dfb2dd9b5f23c2</th>\n                        <td id=\"T_015f1_row1049_col0\" class=\"data row1049 col0\" >912</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1050\" class=\"row_heading level0 row1050\" >9c832009dfb1ee02053c9ce9b7770b6cd3191003</th>\n                        <td id=\"T_015f1_row1050_col0\" class=\"data row1050 col0\" >911</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1051\" class=\"row_heading level0 row1051\" >e5251301d464b762e64588fd5287205f82814a81</th>\n                        <td id=\"T_015f1_row1051_col0\" class=\"data row1051 col0\" >910</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1052\" class=\"row_heading level0 row1052\" >8039b18cf97e9530238e325478455ca83d489927</th>\n                        <td id=\"T_015f1_row1052_col0\" class=\"data row1052 col0\" >909</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1053\" class=\"row_heading level0 row1053\" >9bd76c9ed0beff12455ace21e27515af9892b5b7</th>\n                        <td id=\"T_015f1_row1053_col0\" class=\"data row1053 col0\" >908</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1054\" class=\"row_heading level0 row1054\" >30f85a5e14351468a6dd13718a9da3b0d7b73685</th>\n                        <td id=\"T_015f1_row1054_col0\" class=\"data row1054 col0\" >908</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1055\" class=\"row_heading level0 row1055\" >5fe8ffc04b57f4a933733b4812b3077fbdf9c990</th>\n                        <td id=\"T_015f1_row1055_col0\" class=\"data row1055 col0\" >907</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1056\" class=\"row_heading level0 row1056\" >9695181baa421bb16f8bf82ef95888340b1abac4</th>\n                        <td id=\"T_015f1_row1056_col0\" class=\"data row1056 col0\" >907</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1057\" class=\"row_heading level0 row1057\" >9f6570acae53f6cdb4e7713fb24e3085c228dffa</th>\n                        <td id=\"T_015f1_row1057_col0\" class=\"data row1057 col0\" >907</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1058\" class=\"row_heading level0 row1058\" >5e0f4c219a5add10ac27398a5238907326ac3afb</th>\n                        <td id=\"T_015f1_row1058_col0\" class=\"data row1058 col0\" >906</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1059\" class=\"row_heading level0 row1059\" >3bb3d7d8cec5d6122d7f39b1121d1239fac5cd54</th>\n                        <td id=\"T_015f1_row1059_col0\" class=\"data row1059 col0\" >906</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1060\" class=\"row_heading level0 row1060\" >aeeb2bd7e2424d116283953e7192714c6b48eefb</th>\n                        <td id=\"T_015f1_row1060_col0\" class=\"data row1060 col0\" >906</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1061\" class=\"row_heading level0 row1061\" >6be840ef2554736bccf332b69eae7cd609113337</th>\n                        <td id=\"T_015f1_row1061_col0\" class=\"data row1061 col0\" >905</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1062\" class=\"row_heading level0 row1062\" >36c39a43ba60a0c9d0cbb2e6840890469338e114</th>\n                        <td id=\"T_015f1_row1062_col0\" class=\"data row1062 col0\" >905</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1063\" class=\"row_heading level0 row1063\" >728024f84b6df6be104a795c3dcc9467894eed9e</th>\n                        <td id=\"T_015f1_row1063_col0\" class=\"data row1063 col0\" >903</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1064\" class=\"row_heading level0 row1064\" >228e163742bf8d511f8ea812d26f272d899cceff</th>\n                        <td id=\"T_015f1_row1064_col0\" class=\"data row1064 col0\" >902</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1065\" class=\"row_heading level0 row1065\" >c4df8ddfb81dcad872cc967f982d4170aae51800</th>\n                        <td id=\"T_015f1_row1065_col0\" class=\"data row1065 col0\" >900</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1066\" class=\"row_heading level0 row1066\" >cdfd0d34c8e4cd6fe0f339b2b59f97c5973620e7</th>\n                        <td id=\"T_015f1_row1066_col0\" class=\"data row1066 col0\" >898</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1067\" class=\"row_heading level0 row1067\" >ff70d33df144bdc870f2fd804d713e3c430f1c9b</th>\n                        <td id=\"T_015f1_row1067_col0\" class=\"data row1067 col0\" >894</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1068\" class=\"row_heading level0 row1068\" >4f30c5af6f7d7f400c5724b27d6b99527e7a52d6</th>\n                        <td id=\"T_015f1_row1068_col0\" class=\"data row1068 col0\" >893</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1069\" class=\"row_heading level0 row1069\" >166c9b84e2c687cd0675bdb22808310095792d60</th>\n                        <td id=\"T_015f1_row1069_col0\" class=\"data row1069 col0\" >892</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1070\" class=\"row_heading level0 row1070\" >0b05eb1b63ef6f4491ab8a37d6f1cf250b7f39b6</th>\n                        <td id=\"T_015f1_row1070_col0\" class=\"data row1070 col0\" >892</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1071\" class=\"row_heading level0 row1071\" >db9161e00c30af355ae0b13f50e5db5dc638c660</th>\n                        <td id=\"T_015f1_row1071_col0\" class=\"data row1071 col0\" >891</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1072\" class=\"row_heading level0 row1072\" >13c2434e6af225382fb6b00531769505a5d3d218</th>\n                        <td id=\"T_015f1_row1072_col0\" class=\"data row1072 col0\" >890</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1073\" class=\"row_heading level0 row1073\" >f920a2e4cb52165850990d9d37d391b630f7de14</th>\n                        <td id=\"T_015f1_row1073_col0\" class=\"data row1073 col0\" >887</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1074\" class=\"row_heading level0 row1074\" >1467cad993c176879919f34cdc1637ab5e719a89</th>\n                        <td id=\"T_015f1_row1074_col0\" class=\"data row1074 col0\" >886</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1075\" class=\"row_heading level0 row1075\" >7a0681fd93e6acfb60c4f7ff3439c6a570068b2b</th>\n                        <td id=\"T_015f1_row1075_col0\" class=\"data row1075 col0\" >885</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1076\" class=\"row_heading level0 row1076\" >4f67f7af8fd4bc0be4792ce1759e9567769fc1a2</th>\n                        <td id=\"T_015f1_row1076_col0\" class=\"data row1076 col0\" >883</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1077\" class=\"row_heading level0 row1077\" >cee4114e2fd7a61cf738594f6224801a6bd532a2</th>\n                        <td id=\"T_015f1_row1077_col0\" class=\"data row1077 col0\" >883</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1078\" class=\"row_heading level0 row1078\" >b3c92bf4736f8a6507b17ea5eaf34630593741ba</th>\n                        <td id=\"T_015f1_row1078_col0\" class=\"data row1078 col0\" >882</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1079\" class=\"row_heading level0 row1079\" >72a8a758661a41895e424613d666109e838b3d5f</th>\n                        <td id=\"T_015f1_row1079_col0\" class=\"data row1079 col0\" >882</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1080\" class=\"row_heading level0 row1080\" >ec2ab4f28130e9b814396339ff72004deb5bf75b</th>\n                        <td id=\"T_015f1_row1080_col0\" class=\"data row1080 col0\" >882</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1081\" class=\"row_heading level0 row1081\" >82c2f3edbe910c3ed9cf1568144a36894ae896d2</th>\n                        <td id=\"T_015f1_row1081_col0\" class=\"data row1081 col0\" >880</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1082\" class=\"row_heading level0 row1082\" >73725a18f43d9dd3cdc07ea9d8a6225182f39e09</th>\n                        <td id=\"T_015f1_row1082_col0\" class=\"data row1082 col0\" >880</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1083\" class=\"row_heading level0 row1083\" >412d55daa17f265de96ea9fbebbb90f2ec806d90</th>\n                        <td id=\"T_015f1_row1083_col0\" class=\"data row1083 col0\" >880</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1084\" class=\"row_heading level0 row1084\" >1cabdbab4b3cf54ffe7df1ec2ec5831b3f508d3c</th>\n                        <td id=\"T_015f1_row1084_col0\" class=\"data row1084 col0\" >880</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1085\" class=\"row_heading level0 row1085\" >332cf1549d01929d5b03b8ac88ff058e32b2331d</th>\n                        <td id=\"T_015f1_row1085_col0\" class=\"data row1085 col0\" >877</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1086\" class=\"row_heading level0 row1086\" >99a5ceb93babdda20011fb1c603f31c2e1bf34fd</th>\n                        <td id=\"T_015f1_row1086_col0\" class=\"data row1086 col0\" >876</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1087\" class=\"row_heading level0 row1087\" >f65c11898ffc16fc74002e391b09d65f9373d21c</th>\n                        <td id=\"T_015f1_row1087_col0\" class=\"data row1087 col0\" >876</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1088\" class=\"row_heading level0 row1088\" >8c77ec892c3533ac7c3433a6e94e4f8fa1366d4a</th>\n                        <td id=\"T_015f1_row1088_col0\" class=\"data row1088 col0\" >876</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1089\" class=\"row_heading level0 row1089\" >476f477cf726bcda6de9eb4c3bb3dc6647eb7e92</th>\n                        <td id=\"T_015f1_row1089_col0\" class=\"data row1089 col0\" >875</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1090\" class=\"row_heading level0 row1090\" >4a0994d3073afdf576c43e11e8c64cd618e21557</th>\n                        <td id=\"T_015f1_row1090_col0\" class=\"data row1090 col0\" >873</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1091\" class=\"row_heading level0 row1091\" >bed743461bc3309a785ec4f6832137acce756bca</th>\n                        <td id=\"T_015f1_row1091_col0\" class=\"data row1091 col0\" >872</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1092\" class=\"row_heading level0 row1092\" >7907b886cdac122129d7a121b9ecaa9ed5a6f072</th>\n                        <td id=\"T_015f1_row1092_col0\" class=\"data row1092 col0\" >871</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1093\" class=\"row_heading level0 row1093\" >a8d4a54436e0b5fa849fe2c79cd58c0aedc01730</th>\n                        <td id=\"T_015f1_row1093_col0\" class=\"data row1093 col0\" >871</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1094\" class=\"row_heading level0 row1094\" >800f88c742adf88674e31a225564c5a1f038fe56</th>\n                        <td id=\"T_015f1_row1094_col0\" class=\"data row1094 col0\" >870</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1095\" class=\"row_heading level0 row1095\" >bf8f3de5b5fe3524de52b0a2e09cf9a3b137d813</th>\n                        <td id=\"T_015f1_row1095_col0\" class=\"data row1095 col0\" >868</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1096\" class=\"row_heading level0 row1096\" >bb58386c5e6730f3a443f353c4db04a961211d0f</th>\n                        <td id=\"T_015f1_row1096_col0\" class=\"data row1096 col0\" >868</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1097\" class=\"row_heading level0 row1097\" >f60b33c83de3bb449a4819258e2853c431d88743</th>\n                        <td id=\"T_015f1_row1097_col0\" class=\"data row1097 col0\" >868</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1098\" class=\"row_heading level0 row1098\" >9f78f3ef7a5544894f1be09c88afb02c3f47620c</th>\n                        <td id=\"T_015f1_row1098_col0\" class=\"data row1098 col0\" >867</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1099\" class=\"row_heading level0 row1099\" >439768832f9040b1dcb1c6002ed5867b1ae54263</th>\n                        <td id=\"T_015f1_row1099_col0\" class=\"data row1099 col0\" >866</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1100\" class=\"row_heading level0 row1100\" >a4f44d4d03b632f87c48c8d3c9c964413164413c</th>\n                        <td id=\"T_015f1_row1100_col0\" class=\"data row1100 col0\" >865</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1101\" class=\"row_heading level0 row1101\" >f021b523fe235dde08170e1306eaae866227b4b7</th>\n                        <td id=\"T_015f1_row1101_col0\" class=\"data row1101 col0\" >864</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1102\" class=\"row_heading level0 row1102\" >7ce07b16d0e006d8959ea36e0415168fac0009f8</th>\n                        <td id=\"T_015f1_row1102_col0\" class=\"data row1102 col0\" >861</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1103\" class=\"row_heading level0 row1103\" >b32ee3de33f1103bfb4d440af0928466b7238b30</th>\n                        <td id=\"T_015f1_row1103_col0\" class=\"data row1103 col0\" >859</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1104\" class=\"row_heading level0 row1104\" >1986d31f93bef6e5be7037be122aee33d3f869fb</th>\n                        <td id=\"T_015f1_row1104_col0\" class=\"data row1104 col0\" >859</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1105\" class=\"row_heading level0 row1105\" >8c6ab78f2797e076f9106af81090d0ab9904f5cd</th>\n                        <td id=\"T_015f1_row1105_col0\" class=\"data row1105 col0\" >858</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1106\" class=\"row_heading level0 row1106\" >a42659766c670273e04f3e57008d2dbd5dd8d7c9</th>\n                        <td id=\"T_015f1_row1106_col0\" class=\"data row1106 col0\" >857</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1107\" class=\"row_heading level0 row1107\" >bd7e2f34f93585db8c06f79944d7608842ed82fa</th>\n                        <td id=\"T_015f1_row1107_col0\" class=\"data row1107 col0\" >857</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1108\" class=\"row_heading level0 row1108\" >76f81d5047273fa64a434457531d400fc5d90fac</th>\n                        <td id=\"T_015f1_row1108_col0\" class=\"data row1108 col0\" >856</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1109\" class=\"row_heading level0 row1109\" >87cd4b48a0e09b8e26c6eda137d000fe2bbfeac8</th>\n                        <td id=\"T_015f1_row1109_col0\" class=\"data row1109 col0\" >856</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1110\" class=\"row_heading level0 row1110\" >21d96943ab26e1e405b5bc3d1b49de7fc601f9bc</th>\n                        <td id=\"T_015f1_row1110_col0\" class=\"data row1110 col0\" >856</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1111\" class=\"row_heading level0 row1111\" >e74f51b2e72219791f8293d4ce21657e265a7d7b</th>\n                        <td id=\"T_015f1_row1111_col0\" class=\"data row1111 col0\" >856</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1112\" class=\"row_heading level0 row1112\" >b2337b25e7d1df04928bf6698a9c0b2764df7795</th>\n                        <td id=\"T_015f1_row1112_col0\" class=\"data row1112 col0\" >855</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1113\" class=\"row_heading level0 row1113\" >b47669fb84df5ef34b370540f5c87ea37e6bc7cb</th>\n                        <td id=\"T_015f1_row1113_col0\" class=\"data row1113 col0\" >854</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1114\" class=\"row_heading level0 row1114\" >e0569c95a2a6f68fe59775a63d071094cd98de65</th>\n                        <td id=\"T_015f1_row1114_col0\" class=\"data row1114 col0\" >854</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1115\" class=\"row_heading level0 row1115\" >feb165b7efdf8fdccb09368c512418917122f485</th>\n                        <td id=\"T_015f1_row1115_col0\" class=\"data row1115 col0\" >853</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1116\" class=\"row_heading level0 row1116\" >41aa886734e090a847ef77b60cbfd973ab60c4de</th>\n                        <td id=\"T_015f1_row1116_col0\" class=\"data row1116 col0\" >853</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1117\" class=\"row_heading level0 row1117\" >902588d66481d2a6efd19a12e75030f8f54747b1</th>\n                        <td id=\"T_015f1_row1117_col0\" class=\"data row1117 col0\" >852</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1118\" class=\"row_heading level0 row1118\" >983f6e332a5bc9a3c735382bff7bd37f16aaed0f</th>\n                        <td id=\"T_015f1_row1118_col0\" class=\"data row1118 col0\" >851</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1119\" class=\"row_heading level0 row1119\" >6c381e7e7d8e984394ce02a3da912acc1b7d294e</th>\n                        <td id=\"T_015f1_row1119_col0\" class=\"data row1119 col0\" >850</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1120\" class=\"row_heading level0 row1120\" >4ab49717e4c5ac94f058c40172a875ac77aa2081</th>\n                        <td id=\"T_015f1_row1120_col0\" class=\"data row1120 col0\" >849</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1121\" class=\"row_heading level0 row1121\" >7c1ed646f9a2b2363604352146edeab5f39eeb3b</th>\n                        <td id=\"T_015f1_row1121_col0\" class=\"data row1121 col0\" >849</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1122\" class=\"row_heading level0 row1122\" >8985e3c3754e5e2507071da4b53bd14c3eebaf4f</th>\n                        <td id=\"T_015f1_row1122_col0\" class=\"data row1122 col0\" >848</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1123\" class=\"row_heading level0 row1123\" >6ee3abfd8d9771596685a229589516567024e7f8</th>\n                        <td id=\"T_015f1_row1123_col0\" class=\"data row1123 col0\" >848</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1124\" class=\"row_heading level0 row1124\" >421f10e8742c17deff4f13705b314d6bf2ee8a1a</th>\n                        <td id=\"T_015f1_row1124_col0\" class=\"data row1124 col0\" >847</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1125\" class=\"row_heading level0 row1125\" >3f564032c7eebc173b38aee35225e323d4389faf</th>\n                        <td id=\"T_015f1_row1125_col0\" class=\"data row1125 col0\" >845</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1126\" class=\"row_heading level0 row1126\" >de77c0590469d15c0177b0ca9a46901276329787</th>\n                        <td id=\"T_015f1_row1126_col0\" class=\"data row1126 col0\" >844</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1127\" class=\"row_heading level0 row1127\" >7f94dc0beab4c8c1631f6b3ae99ba96aa498948e</th>\n                        <td id=\"T_015f1_row1127_col0\" class=\"data row1127 col0\" >843</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1128\" class=\"row_heading level0 row1128\" >8307ffaab5373cd4976b6cdebcb390014a908d29</th>\n                        <td id=\"T_015f1_row1128_col0\" class=\"data row1128 col0\" >843</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1129\" class=\"row_heading level0 row1129\" >a929157f3cc32a433b02ad7d7876e9a1678d3944</th>\n                        <td id=\"T_015f1_row1129_col0\" class=\"data row1129 col0\" >842</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1130\" class=\"row_heading level0 row1130\" >4f5f0035c1ce863a92330a8f42e8b81d2dd6f26a</th>\n                        <td id=\"T_015f1_row1130_col0\" class=\"data row1130 col0\" >841</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1131\" class=\"row_heading level0 row1131\" >db7ec4213536603d02a6f4a2e702e343a43c1bda</th>\n                        <td id=\"T_015f1_row1131_col0\" class=\"data row1131 col0\" >838</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1132\" class=\"row_heading level0 row1132\" >470e433b1b189376b4b69a862d62b7b77b0ad771</th>\n                        <td id=\"T_015f1_row1132_col0\" class=\"data row1132 col0\" >837</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1133\" class=\"row_heading level0 row1133\" >b27104f641c35e2750681e586bf55945693c651c</th>\n                        <td id=\"T_015f1_row1133_col0\" class=\"data row1133 col0\" >835</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1134\" class=\"row_heading level0 row1134\" >7924018850bcf698faa195bd64ac8680f55b69ab</th>\n                        <td id=\"T_015f1_row1134_col0\" class=\"data row1134 col0\" >835</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1135\" class=\"row_heading level0 row1135\" >f3d9e7d629e50b8ca7e330d1d7cc11d6a75def8f</th>\n                        <td id=\"T_015f1_row1135_col0\" class=\"data row1135 col0\" >835</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1136\" class=\"row_heading level0 row1136\" >da2598a0ac131b4fe48fbe75d452638a384f05c3</th>\n                        <td id=\"T_015f1_row1136_col0\" class=\"data row1136 col0\" >834</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1137\" class=\"row_heading level0 row1137\" >ceccac4f0e50ec9e36e8d2800b8f2c7c3b4d903e</th>\n                        <td id=\"T_015f1_row1137_col0\" class=\"data row1137 col0\" >834</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1138\" class=\"row_heading level0 row1138\" >68127b819a86c95b0847a170ce53a91702f67969</th>\n                        <td id=\"T_015f1_row1138_col0\" class=\"data row1138 col0\" >833</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1139\" class=\"row_heading level0 row1139\" >36c875bc5abf26f3324b443b87255971d16116e6</th>\n                        <td id=\"T_015f1_row1139_col0\" class=\"data row1139 col0\" >833</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1140\" class=\"row_heading level0 row1140\" >26f259dfcfeb99e4904a2fe617dab5dadce2a032</th>\n                        <td id=\"T_015f1_row1140_col0\" class=\"data row1140 col0\" >831</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1141\" class=\"row_heading level0 row1141\" >57f9bc1b85f70766cb60fa9dcc63c93cd006fbe7</th>\n                        <td id=\"T_015f1_row1141_col0\" class=\"data row1141 col0\" >831</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1142\" class=\"row_heading level0 row1142\" >6370e7cef50cce9782679d8d5047f25aeb9196ac</th>\n                        <td id=\"T_015f1_row1142_col0\" class=\"data row1142 col0\" >829</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1143\" class=\"row_heading level0 row1143\" >7a10fbc53a85f75ecc384b48a9fe5cc3f6b1cc74</th>\n                        <td id=\"T_015f1_row1143_col0\" class=\"data row1143 col0\" >829</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1144\" class=\"row_heading level0 row1144\" >87b3224d2939d5e4e116776e50e6edf0f3f7beaf</th>\n                        <td id=\"T_015f1_row1144_col0\" class=\"data row1144 col0\" >827</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1145\" class=\"row_heading level0 row1145\" >49b40c201d2554f00745623dc99aab316a70ae32</th>\n                        <td id=\"T_015f1_row1145_col0\" class=\"data row1145 col0\" >826</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1146\" class=\"row_heading level0 row1146\" >0ac78d165701ca4ffda25a4d1995c19b85fdd7e9</th>\n                        <td id=\"T_015f1_row1146_col0\" class=\"data row1146 col0\" >825</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1147\" class=\"row_heading level0 row1147\" >a9dfb73f35d56db8bd048b720ccd0301d8e037c8</th>\n                        <td id=\"T_015f1_row1147_col0\" class=\"data row1147 col0\" >824</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1148\" class=\"row_heading level0 row1148\" >7411227db2cf06ed13a7f7c1edd038e1b544ede2</th>\n                        <td id=\"T_015f1_row1148_col0\" class=\"data row1148 col0\" >824</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1149\" class=\"row_heading level0 row1149\" >e43e8b111c0061d7cba667a23d6f1c0143bc73ac</th>\n                        <td id=\"T_015f1_row1149_col0\" class=\"data row1149 col0\" >821</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1150\" class=\"row_heading level0 row1150\" >21c22f0b13afd0b2446a38eac19492afe8f53826</th>\n                        <td id=\"T_015f1_row1150_col0\" class=\"data row1150 col0\" >821</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1151\" class=\"row_heading level0 row1151\" >bf53c00aa661c5c51566e442940fbeb58fe9b652</th>\n                        <td id=\"T_015f1_row1151_col0\" class=\"data row1151 col0\" >821</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1152\" class=\"row_heading level0 row1152\" >ceef7af1f923a275cc1d4ecc8dd1bdb8b2f0b9bd</th>\n                        <td id=\"T_015f1_row1152_col0\" class=\"data row1152 col0\" >821</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1153\" class=\"row_heading level0 row1153\" >39aedd47bcb792b989f2ce860c021c0dfd0e2a3d</th>\n                        <td id=\"T_015f1_row1153_col0\" class=\"data row1153 col0\" >819</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1154\" class=\"row_heading level0 row1154\" >6e388d1db5ba8dd9de80522a4ddf50402cf443b3</th>\n                        <td id=\"T_015f1_row1154_col0\" class=\"data row1154 col0\" >819</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1155\" class=\"row_heading level0 row1155\" >acba4b6470048b0300cf107a57476267f348882b</th>\n                        <td id=\"T_015f1_row1155_col0\" class=\"data row1155 col0\" >818</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1156\" class=\"row_heading level0 row1156\" >c7722f03f7691e15cd1b38440d49dac476b67bd1</th>\n                        <td id=\"T_015f1_row1156_col0\" class=\"data row1156 col0\" >818</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1157\" class=\"row_heading level0 row1157\" >12911a64fecf13f2e9fb0aaed554621e3b0bacde</th>\n                        <td id=\"T_015f1_row1157_col0\" class=\"data row1157 col0\" >817</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1158\" class=\"row_heading level0 row1158\" >93dcb3a20e28d2bae3583cb1df106ecea3f755b0</th>\n                        <td id=\"T_015f1_row1158_col0\" class=\"data row1158 col0\" >816</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1159\" class=\"row_heading level0 row1159\" >1d0849d832ea51046a617793ee4bb9f6c4eddc1b</th>\n                        <td id=\"T_015f1_row1159_col0\" class=\"data row1159 col0\" >816</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1160\" class=\"row_heading level0 row1160\" >9d116976f6a408895dd48117e7b27174a3d0e6b1</th>\n                        <td id=\"T_015f1_row1160_col0\" class=\"data row1160 col0\" >816</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1161\" class=\"row_heading level0 row1161\" >774e0502de3eaa670791a3a9b9206b90633aba80</th>\n                        <td id=\"T_015f1_row1161_col0\" class=\"data row1161 col0\" >815</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1162\" class=\"row_heading level0 row1162\" >7dfce685350a56059c6f213bebda6d3ef8e06a7b</th>\n                        <td id=\"T_015f1_row1162_col0\" class=\"data row1162 col0\" >811</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1163\" class=\"row_heading level0 row1163\" >c91755d1795025b7d708fedc990dfa7a8ea97f5f</th>\n                        <td id=\"T_015f1_row1163_col0\" class=\"data row1163 col0\" >809</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1164\" class=\"row_heading level0 row1164\" >ead4eb320daf267710b8ec2f80b572ef14ca55f6</th>\n                        <td id=\"T_015f1_row1164_col0\" class=\"data row1164 col0\" >808</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1165\" class=\"row_heading level0 row1165\" >23bfb8a3a2936f0536b7b8c1ee4a13706b8c18c6</th>\n                        <td id=\"T_015f1_row1165_col0\" class=\"data row1165 col0\" >808</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1166\" class=\"row_heading level0 row1166\" >fa993beb9ebe0c121f0150da8182c380e028fd52</th>\n                        <td id=\"T_015f1_row1166_col0\" class=\"data row1166 col0\" >808</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1167\" class=\"row_heading level0 row1167\" >b8a7b974d32dc39cac661378e64a91981b80f967</th>\n                        <td id=\"T_015f1_row1167_col0\" class=\"data row1167 col0\" >808</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1168\" class=\"row_heading level0 row1168\" >3812f286ebe5709c5178dc7b3516f59ddb98cfee</th>\n                        <td id=\"T_015f1_row1168_col0\" class=\"data row1168 col0\" >808</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1169\" class=\"row_heading level0 row1169\" >3044bbc2d77dfcdc103a994f6054c083c523c27f</th>\n                        <td id=\"T_015f1_row1169_col0\" class=\"data row1169 col0\" >806</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1170\" class=\"row_heading level0 row1170\" >46ce7a2a48db0ece5e729348c9f380d4a6586d15</th>\n                        <td id=\"T_015f1_row1170_col0\" class=\"data row1170 col0\" >805</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1171\" class=\"row_heading level0 row1171\" >ed4c21657f214846b4f1de52f2ae9354a52b0e1c</th>\n                        <td id=\"T_015f1_row1171_col0\" class=\"data row1171 col0\" >803</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1172\" class=\"row_heading level0 row1172\" >7590cf109f6ff3277fd18d10f4727a8777d675ce</th>\n                        <td id=\"T_015f1_row1172_col0\" class=\"data row1172 col0\" >803</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1173\" class=\"row_heading level0 row1173\" >b7ef9d6821ab0e8d70ac8904e480e648d4a7b106</th>\n                        <td id=\"T_015f1_row1173_col0\" class=\"data row1173 col0\" >802</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1174\" class=\"row_heading level0 row1174\" >dd6986c485320c7c48ff54daf9652692e0d99a8c</th>\n                        <td id=\"T_015f1_row1174_col0\" class=\"data row1174 col0\" >801</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1175\" class=\"row_heading level0 row1175\" >a6d119fc54fd612a74e68f2adcbddd11b8333c52</th>\n                        <td id=\"T_015f1_row1175_col0\" class=\"data row1175 col0\" >801</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1176\" class=\"row_heading level0 row1176\" >32640e018b0265fc7a143191618435742ce2303e</th>\n                        <td id=\"T_015f1_row1176_col0\" class=\"data row1176 col0\" >800</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1177\" class=\"row_heading level0 row1177\" >3e5537c53f571007a0b2e408333197039a0371ca</th>\n                        <td id=\"T_015f1_row1177_col0\" class=\"data row1177 col0\" >800</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1178\" class=\"row_heading level0 row1178\" >3edd18bc87808fd55730b140f99ffcb253fef715</th>\n                        <td id=\"T_015f1_row1178_col0\" class=\"data row1178 col0\" >798</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1179\" class=\"row_heading level0 row1179\" >e66c816a5c9aa65f0da1a2b5e9930be43de9b52f</th>\n                        <td id=\"T_015f1_row1179_col0\" class=\"data row1179 col0\" >798</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1180\" class=\"row_heading level0 row1180\" >180b9ab1953d4169db4c0ae33f44254e2b5f2414</th>\n                        <td id=\"T_015f1_row1180_col0\" class=\"data row1180 col0\" >798</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1181\" class=\"row_heading level0 row1181\" >aeec43dfd60fa881ab8f3a21ba7d0b265b9bedcd</th>\n                        <td id=\"T_015f1_row1181_col0\" class=\"data row1181 col0\" >798</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1182\" class=\"row_heading level0 row1182\" >e3fadd22da45bfdada346264d0e447d892ec8f00</th>\n                        <td id=\"T_015f1_row1182_col0\" class=\"data row1182 col0\" >797</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1183\" class=\"row_heading level0 row1183\" >0780a7d6eb30b848858450561423c79f65739985</th>\n                        <td id=\"T_015f1_row1183_col0\" class=\"data row1183 col0\" >797</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1184\" class=\"row_heading level0 row1184\" >99a3d97eee33b440f3e9cd6d1457bcb3ac2648e6</th>\n                        <td id=\"T_015f1_row1184_col0\" class=\"data row1184 col0\" >796</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1185\" class=\"row_heading level0 row1185\" >2d199d76f05af1ff3432955b6b52163e8341dda5</th>\n                        <td id=\"T_015f1_row1185_col0\" class=\"data row1185 col0\" >796</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1186\" class=\"row_heading level0 row1186\" >daf4269d2528fed68d7899e4a52ab98b8eb1a283</th>\n                        <td id=\"T_015f1_row1186_col0\" class=\"data row1186 col0\" >794</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1187\" class=\"row_heading level0 row1187\" >85f0adaf4a5cfa87602d104137f847db97d0ef43</th>\n                        <td id=\"T_015f1_row1187_col0\" class=\"data row1187 col0\" >794</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1188\" class=\"row_heading level0 row1188\" >c5f6a10b2fca7b7d4c5cda9be26a89d89989e5f1</th>\n                        <td id=\"T_015f1_row1188_col0\" class=\"data row1188 col0\" >794</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1189\" class=\"row_heading level0 row1189\" >756b90461518d1f6bf08adb4539a2783a516993e</th>\n                        <td id=\"T_015f1_row1189_col0\" class=\"data row1189 col0\" >792</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1190\" class=\"row_heading level0 row1190\" >ba2dbf1caf2a89114c52653af9d645b51f62e149</th>\n                        <td id=\"T_015f1_row1190_col0\" class=\"data row1190 col0\" >791</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1191\" class=\"row_heading level0 row1191\" >4067027290768f1eb2e7cf3a538dec9ca379e01f</th>\n                        <td id=\"T_015f1_row1191_col0\" class=\"data row1191 col0\" >790</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1192\" class=\"row_heading level0 row1192\" >3fd01b9344d4f2d6ae03431ccdb88f994ac6e1c1</th>\n                        <td id=\"T_015f1_row1192_col0\" class=\"data row1192 col0\" >790</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1193\" class=\"row_heading level0 row1193\" >ae52472767f745a7b208f3154d80e6106af421a8</th>\n                        <td id=\"T_015f1_row1193_col0\" class=\"data row1193 col0\" >790</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1194\" class=\"row_heading level0 row1194\" >c66fd82dbe13d9029a87b180ee776e95c0cb057c</th>\n                        <td id=\"T_015f1_row1194_col0\" class=\"data row1194 col0\" >789</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1195\" class=\"row_heading level0 row1195\" >c0170149a3b04b050f5f1f2d8bf0e6bae3f60ef0</th>\n                        <td id=\"T_015f1_row1195_col0\" class=\"data row1195 col0\" >789</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1196\" class=\"row_heading level0 row1196\" >58d88c1d4ba920fdc3707030403c6c3baef4b8a1</th>\n                        <td id=\"T_015f1_row1196_col0\" class=\"data row1196 col0\" >789</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1197\" class=\"row_heading level0 row1197\" >426f1bf630aec6ecf28429ffef08421844a1711d</th>\n                        <td id=\"T_015f1_row1197_col0\" class=\"data row1197 col0\" >787</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1198\" class=\"row_heading level0 row1198\" >39fa11eb511a9f20800755245c610868eb850dc7</th>\n                        <td id=\"T_015f1_row1198_col0\" class=\"data row1198 col0\" >786</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1199\" class=\"row_heading level0 row1199\" >08580eccfc2fff7875287b0d87b5ace7a69112e0</th>\n                        <td id=\"T_015f1_row1199_col0\" class=\"data row1199 col0\" >785</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1200\" class=\"row_heading level0 row1200\" >789669026899bd149133935f2227d33dbc8da341</th>\n                        <td id=\"T_015f1_row1200_col0\" class=\"data row1200 col0\" >783</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1201\" class=\"row_heading level0 row1201\" >d5982e6e5110e61911f44063ef6befbe84da7a9d</th>\n                        <td id=\"T_015f1_row1201_col0\" class=\"data row1201 col0\" >783</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1202\" class=\"row_heading level0 row1202\" >5676217d74fa26d50a17ba518b172b65cd219a2d</th>\n                        <td id=\"T_015f1_row1202_col0\" class=\"data row1202 col0\" >782</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1203\" class=\"row_heading level0 row1203\" >600bfdb6a5bd94ec32acaa0e6aceb3e4be97976c</th>\n                        <td id=\"T_015f1_row1203_col0\" class=\"data row1203 col0\" >782</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1204\" class=\"row_heading level0 row1204\" >be9aefa8a0a7727e0991e11ac566f768833c78d7</th>\n                        <td id=\"T_015f1_row1204_col0\" class=\"data row1204 col0\" >782</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1205\" class=\"row_heading level0 row1205\" >8ef24902e17150ff364e362e7d1c921d369e0403</th>\n                        <td id=\"T_015f1_row1205_col0\" class=\"data row1205 col0\" >782</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1206\" class=\"row_heading level0 row1206\" >20a605f262a4c6c433a5ea6a5838990fd6e79199</th>\n                        <td id=\"T_015f1_row1206_col0\" class=\"data row1206 col0\" >781</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1207\" class=\"row_heading level0 row1207\" >b68ae49e67fb3d6233bcecc31d43d955d8c317eb</th>\n                        <td id=\"T_015f1_row1207_col0\" class=\"data row1207 col0\" >780</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1208\" class=\"row_heading level0 row1208\" >3e481193939ea85df924afb811f706fb10d25ec9</th>\n                        <td id=\"T_015f1_row1208_col0\" class=\"data row1208 col0\" >779</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1209\" class=\"row_heading level0 row1209\" >b37d43c8c5f1e82765b5a403c19529d89b765d62</th>\n                        <td id=\"T_015f1_row1209_col0\" class=\"data row1209 col0\" >776</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1210\" class=\"row_heading level0 row1210\" >672197771585b645180963ceda49a671f158a1bd</th>\n                        <td id=\"T_015f1_row1210_col0\" class=\"data row1210 col0\" >776</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1211\" class=\"row_heading level0 row1211\" >abbf300d063f2bcc0e0319d7662ea6701506c4f4</th>\n                        <td id=\"T_015f1_row1211_col0\" class=\"data row1211 col0\" >775</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1212\" class=\"row_heading level0 row1212\" >f3779c51c870444a3322d94fdf7711dbf0033423</th>\n                        <td id=\"T_015f1_row1212_col0\" class=\"data row1212 col0\" >772</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1213\" class=\"row_heading level0 row1213\" >da93c6a1fc55d5602d20737772ca8524253e0365</th>\n                        <td id=\"T_015f1_row1213_col0\" class=\"data row1213 col0\" >772</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1214\" class=\"row_heading level0 row1214\" >6487267a14f5e825a8bcf13f5c2dc4e952db1aad</th>\n                        <td id=\"T_015f1_row1214_col0\" class=\"data row1214 col0\" >772</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1215\" class=\"row_heading level0 row1215\" >827b3dd8d0c3d3bd2c77643d5a173cd63ba93c0a</th>\n                        <td id=\"T_015f1_row1215_col0\" class=\"data row1215 col0\" >772</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1216\" class=\"row_heading level0 row1216\" >6bbe94846458c94b62d5c641a8319ed27601ddd5</th>\n                        <td id=\"T_015f1_row1216_col0\" class=\"data row1216 col0\" >771</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1217\" class=\"row_heading level0 row1217\" >2c5e053e0350ae3e829bd599b60ee1876c76f1a9</th>\n                        <td id=\"T_015f1_row1217_col0\" class=\"data row1217 col0\" >770</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1218\" class=\"row_heading level0 row1218\" >e2a4978a1c161c4ab2834a503b616de4f0b38cb9</th>\n                        <td id=\"T_015f1_row1218_col0\" class=\"data row1218 col0\" >769</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1219\" class=\"row_heading level0 row1219\" >9e759dce6a7c61f7b96b7874c8e74a59cc0e121f</th>\n                        <td id=\"T_015f1_row1219_col0\" class=\"data row1219 col0\" >769</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1220\" class=\"row_heading level0 row1220\" >2de2c0191117dda80de6280c787d8482899b2b2d</th>\n                        <td id=\"T_015f1_row1220_col0\" class=\"data row1220 col0\" >769</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1221\" class=\"row_heading level0 row1221\" >b4052bf78fabf9e61990dede0f524cd72505a412</th>\n                        <td id=\"T_015f1_row1221_col0\" class=\"data row1221 col0\" >767</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1222\" class=\"row_heading level0 row1222\" >a9703987deeb0e1d04f7138fd3b5fc8df7a7fa49</th>\n                        <td id=\"T_015f1_row1222_col0\" class=\"data row1222 col0\" >767</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1223\" class=\"row_heading level0 row1223\" >d0c1ead35f4a888e18efc7a9eab2a574c32c1505</th>\n                        <td id=\"T_015f1_row1223_col0\" class=\"data row1223 col0\" >767</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1224\" class=\"row_heading level0 row1224\" >7e07ee396d3652f6d38ed6651d09843a3a0530f8</th>\n                        <td id=\"T_015f1_row1224_col0\" class=\"data row1224 col0\" >767</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1225\" class=\"row_heading level0 row1225\" >f0efe86c0a9d72f9c8e8ccf5625c7b93058075c6</th>\n                        <td id=\"T_015f1_row1225_col0\" class=\"data row1225 col0\" >766</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1226\" class=\"row_heading level0 row1226\" >6ee5f41b2570038a72992492afb39ddbd63ca04f</th>\n                        <td id=\"T_015f1_row1226_col0\" class=\"data row1226 col0\" >766</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1227\" class=\"row_heading level0 row1227\" >a2da5e2fbbbcbd5d475b0e0bc447f0145394a761</th>\n                        <td id=\"T_015f1_row1227_col0\" class=\"data row1227 col0\" >762</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1228\" class=\"row_heading level0 row1228\" >ad789110982c958b75237c2eceeed9b0118c6d4b</th>\n                        <td id=\"T_015f1_row1228_col0\" class=\"data row1228 col0\" >762</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1229\" class=\"row_heading level0 row1229\" >cf8cdace175562c050fc5cd86b7d279ad2b7d4a4</th>\n                        <td id=\"T_015f1_row1229_col0\" class=\"data row1229 col0\" >759</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1230\" class=\"row_heading level0 row1230\" >81c20ae27363a7fb86d3ef87c162a02058689f21</th>\n                        <td id=\"T_015f1_row1230_col0\" class=\"data row1230 col0\" >755</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1231\" class=\"row_heading level0 row1231\" >427b69a33032158d53b0833638a11f0758ac852a</th>\n                        <td id=\"T_015f1_row1231_col0\" class=\"data row1231 col0\" >755</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1232\" class=\"row_heading level0 row1232\" >bf7564a66954eccc3ef6e43e4a288d9faf20f2b1</th>\n                        <td id=\"T_015f1_row1232_col0\" class=\"data row1232 col0\" >751</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1233\" class=\"row_heading level0 row1233\" >8d66cb5c7cc756bb73852e2a4b417778e32938d4</th>\n                        <td id=\"T_015f1_row1233_col0\" class=\"data row1233 col0\" >751</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1234\" class=\"row_heading level0 row1234\" >8857d924107fa14d856227950080ce007c1d49f2</th>\n                        <td id=\"T_015f1_row1234_col0\" class=\"data row1234 col0\" >750</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1235\" class=\"row_heading level0 row1235\" >1e6f8bd8c568679123d924e9f403c178bf4a4eea</th>\n                        <td id=\"T_015f1_row1235_col0\" class=\"data row1235 col0\" >749</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1236\" class=\"row_heading level0 row1236\" >ac6c989031d9d607bfb780926063d3549eb55834</th>\n                        <td id=\"T_015f1_row1236_col0\" class=\"data row1236 col0\" >748</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1237\" class=\"row_heading level0 row1237\" >d64d27ec66170a05944df85a9956d739f0bb8fe7</th>\n                        <td id=\"T_015f1_row1237_col0\" class=\"data row1237 col0\" >748</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1238\" class=\"row_heading level0 row1238\" >73ca02414b9701077852d708450b3ef7e6688454</th>\n                        <td id=\"T_015f1_row1238_col0\" class=\"data row1238 col0\" >747</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1239\" class=\"row_heading level0 row1239\" >5a06410a6ec68fe858587a2069c73a2851a8c13c</th>\n                        <td id=\"T_015f1_row1239_col0\" class=\"data row1239 col0\" >747</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1240\" class=\"row_heading level0 row1240\" >91c41d3cfbcb6ad13d4304f392d2402c6e159488</th>\n                        <td id=\"T_015f1_row1240_col0\" class=\"data row1240 col0\" >745</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1241\" class=\"row_heading level0 row1241\" >295dcf2d00e2d19d02f73fc1d498ed5ca821161c</th>\n                        <td id=\"T_015f1_row1241_col0\" class=\"data row1241 col0\" >745</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1242\" class=\"row_heading level0 row1242\" >3443f91967a2f81d303dc65a813e6d1b879f4441</th>\n                        <td id=\"T_015f1_row1242_col0\" class=\"data row1242 col0\" >744</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1243\" class=\"row_heading level0 row1243\" >03e5fe36fb4f7c70df966010cd896ac6a54070bc</th>\n                        <td id=\"T_015f1_row1243_col0\" class=\"data row1243 col0\" >743</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1244\" class=\"row_heading level0 row1244\" >39282c2dbd3f6e73f18cba6719d60af70b9b0ea1</th>\n                        <td id=\"T_015f1_row1244_col0\" class=\"data row1244 col0\" >741</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1245\" class=\"row_heading level0 row1245\" >2af49762274280315760a365e04598131b2ae321</th>\n                        <td id=\"T_015f1_row1245_col0\" class=\"data row1245 col0\" >739</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1246\" class=\"row_heading level0 row1246\" >1c36991bd1fdbb17acd7209516b78ede74478ecf</th>\n                        <td id=\"T_015f1_row1246_col0\" class=\"data row1246 col0\" >738</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1247\" class=\"row_heading level0 row1247\" >417f87218ac167413f6fc55816b283c7ff106b17</th>\n                        <td id=\"T_015f1_row1247_col0\" class=\"data row1247 col0\" >736</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1248\" class=\"row_heading level0 row1248\" >73c9a1a83e1e8e4b83f0955640bb865b880d8978</th>\n                        <td id=\"T_015f1_row1248_col0\" class=\"data row1248 col0\" >736</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1249\" class=\"row_heading level0 row1249\" >eea579b6113078849c2dc101cafd8c02f329d320</th>\n                        <td id=\"T_015f1_row1249_col0\" class=\"data row1249 col0\" >735</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1250\" class=\"row_heading level0 row1250\" >fa2da65e2b7b9506596ef5c9f7e1d7855ef8b4de</th>\n                        <td id=\"T_015f1_row1250_col0\" class=\"data row1250 col0\" >734</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1251\" class=\"row_heading level0 row1251\" >40d1f72285bad826e5ae80b19c04f4f5b3deb7b9</th>\n                        <td id=\"T_015f1_row1251_col0\" class=\"data row1251 col0\" >734</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1252\" class=\"row_heading level0 row1252\" >b45348dcdb01e76d156a341eb1aec302b4a05931</th>\n                        <td id=\"T_015f1_row1252_col0\" class=\"data row1252 col0\" >734</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1253\" class=\"row_heading level0 row1253\" >058238b9cf26f57a89fc6b4acb3acfb2376e15de</th>\n                        <td id=\"T_015f1_row1253_col0\" class=\"data row1253 col0\" >734</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1254\" class=\"row_heading level0 row1254\" >82d03402cffaacc2c1a738f1cd11ef8768c0b922</th>\n                        <td id=\"T_015f1_row1254_col0\" class=\"data row1254 col0\" >732</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1255\" class=\"row_heading level0 row1255\" >1e2a2ca3b7bd38aca26374dfd679e372300337ec</th>\n                        <td id=\"T_015f1_row1255_col0\" class=\"data row1255 col0\" >732</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1256\" class=\"row_heading level0 row1256\" >53f3c37f4e2526d0935177155a682a490c8fa313</th>\n                        <td id=\"T_015f1_row1256_col0\" class=\"data row1256 col0\" >730</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1257\" class=\"row_heading level0 row1257\" >8861fa031eecfa5cb56a3e46169d0e45e3194cef</th>\n                        <td id=\"T_015f1_row1257_col0\" class=\"data row1257 col0\" >729</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1258\" class=\"row_heading level0 row1258\" >a1b897edc255a3ce691c9dfcf8e5f840e51f5add</th>\n                        <td id=\"T_015f1_row1258_col0\" class=\"data row1258 col0\" >729</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1259\" class=\"row_heading level0 row1259\" >c2acec91ac929bbcde6d989ec92788ca437e71bb</th>\n                        <td id=\"T_015f1_row1259_col0\" class=\"data row1259 col0\" >728</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1260\" class=\"row_heading level0 row1260\" >f26a9b300d16498b6874bbda3b7704e60ccb2a2d</th>\n                        <td id=\"T_015f1_row1260_col0\" class=\"data row1260 col0\" >728</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1261\" class=\"row_heading level0 row1261\" >401dcaa598350fdcb38cc39ff3d1add3fc1e4144</th>\n                        <td id=\"T_015f1_row1261_col0\" class=\"data row1261 col0\" >728</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1262\" class=\"row_heading level0 row1262\" >b7bcbcc4a0f8024d60268ef47eea0fa23b1874c5</th>\n                        <td id=\"T_015f1_row1262_col0\" class=\"data row1262 col0\" >727</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1263\" class=\"row_heading level0 row1263\" >6a620eb3b709557db95591f6d22ba6a06754f606</th>\n                        <td id=\"T_015f1_row1263_col0\" class=\"data row1263 col0\" >727</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1264\" class=\"row_heading level0 row1264\" >e784a66ba40ebfdf72d4fa1daf319174dd547dcb</th>\n                        <td id=\"T_015f1_row1264_col0\" class=\"data row1264 col0\" >726</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1265\" class=\"row_heading level0 row1265\" >b202160ff21015e62e5f7286759c65e9ea119c62</th>\n                        <td id=\"T_015f1_row1265_col0\" class=\"data row1265 col0\" >725</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1266\" class=\"row_heading level0 row1266\" >597427b28858f00e622bf4c1ede385c07ecbe571</th>\n                        <td id=\"T_015f1_row1266_col0\" class=\"data row1266 col0\" >725</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1267\" class=\"row_heading level0 row1267\" >12a0033f83e767c5175c03c6542508cf7ec1105e</th>\n                        <td id=\"T_015f1_row1267_col0\" class=\"data row1267 col0\" >724</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1268\" class=\"row_heading level0 row1268\" >ffe53bd4dcfaa42668baf5ea0d2ddc676538fce0</th>\n                        <td id=\"T_015f1_row1268_col0\" class=\"data row1268 col0\" >723</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1269\" class=\"row_heading level0 row1269\" >5de4cbc7a398c0739031a471fe8a92d1cee23e03</th>\n                        <td id=\"T_015f1_row1269_col0\" class=\"data row1269 col0\" >721</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1270\" class=\"row_heading level0 row1270\" >3113f53faa9b838090b117462e5b63bf62a637ea</th>\n                        <td id=\"T_015f1_row1270_col0\" class=\"data row1270 col0\" >719</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1271\" class=\"row_heading level0 row1271\" >c40f8b028a8321ce74f47809d2e04e246cb16ba8</th>\n                        <td id=\"T_015f1_row1271_col0\" class=\"data row1271 col0\" >719</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1272\" class=\"row_heading level0 row1272\" >4c2fecb3dcc219ca1727839702ca0c7b842b8813</th>\n                        <td id=\"T_015f1_row1272_col0\" class=\"data row1272 col0\" >718</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1273\" class=\"row_heading level0 row1273\" >662791f44cd61d0426634cf093bf0ff1bfd88c2c</th>\n                        <td id=\"T_015f1_row1273_col0\" class=\"data row1273 col0\" >717</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1274\" class=\"row_heading level0 row1274\" >c1d7de7bdaa3e5dcf306427a98e5212c14d5bae8</th>\n                        <td id=\"T_015f1_row1274_col0\" class=\"data row1274 col0\" >717</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1275\" class=\"row_heading level0 row1275\" >f427cfddb00aafb1d9b96eb02aeecb7afd8eb0c0</th>\n                        <td id=\"T_015f1_row1275_col0\" class=\"data row1275 col0\" >716</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1276\" class=\"row_heading level0 row1276\" >b07d28ed8709afdee7cf64203c3914d6b6d34efa</th>\n                        <td id=\"T_015f1_row1276_col0\" class=\"data row1276 col0\" >716</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1277\" class=\"row_heading level0 row1277\" >a20b6200a733fe819252ad6a3b7b3cf1fd270ba5</th>\n                        <td id=\"T_015f1_row1277_col0\" class=\"data row1277 col0\" >715</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1278\" class=\"row_heading level0 row1278\" >28838116ec3394cd209afa350e75feeb2e1cedb6</th>\n                        <td id=\"T_015f1_row1278_col0\" class=\"data row1278 col0\" >715</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1279\" class=\"row_heading level0 row1279\" >2884589b603a9bd9e7fb6a5bd786ce63d794e195</th>\n                        <td id=\"T_015f1_row1279_col0\" class=\"data row1279 col0\" >715</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1280\" class=\"row_heading level0 row1280\" >1fd46688127f9ec3aac09cf82e855fe15405939f</th>\n                        <td id=\"T_015f1_row1280_col0\" class=\"data row1280 col0\" >712</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1281\" class=\"row_heading level0 row1281\" >14a36739f19da2dfe24f916f83a7d5772d0394e8</th>\n                        <td id=\"T_015f1_row1281_col0\" class=\"data row1281 col0\" >711</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1282\" class=\"row_heading level0 row1282\" >a9b7d089a73af4ca4bf733b891a0131fc318e118</th>\n                        <td id=\"T_015f1_row1282_col0\" class=\"data row1282 col0\" >711</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1283\" class=\"row_heading level0 row1283\" >d485a24b6cfe104831645c527e802c16a7c8dd2b</th>\n                        <td id=\"T_015f1_row1283_col0\" class=\"data row1283 col0\" >710</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1284\" class=\"row_heading level0 row1284\" >4faa8d70906f41974d13d68ad7872c0a4f4e6ec7</th>\n                        <td id=\"T_015f1_row1284_col0\" class=\"data row1284 col0\" >709</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1285\" class=\"row_heading level0 row1285\" >45da5d4ce2bd05f711638c3b52a71c67f669cbe7</th>\n                        <td id=\"T_015f1_row1285_col0\" class=\"data row1285 col0\" >708</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1286\" class=\"row_heading level0 row1286\" >acd74dc64d3b3398fc975042e40ef5642f51beb0</th>\n                        <td id=\"T_015f1_row1286_col0\" class=\"data row1286 col0\" >707</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1287\" class=\"row_heading level0 row1287\" >3c9929dfb43dc900c9b39a02dbb69883e32cb222</th>\n                        <td id=\"T_015f1_row1287_col0\" class=\"data row1287 col0\" >706</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1288\" class=\"row_heading level0 row1288\" >9814eca915b2e657fcc302fcbca35c6a4f583185</th>\n                        <td id=\"T_015f1_row1288_col0\" class=\"data row1288 col0\" >705</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1289\" class=\"row_heading level0 row1289\" >f31ca0a4dd0c2f5a3dbedf4e06c9cba766ea9dc9</th>\n                        <td id=\"T_015f1_row1289_col0\" class=\"data row1289 col0\" >705</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1290\" class=\"row_heading level0 row1290\" >ee857f56bfb497efe85aa2a60e4ac85dcd207af2</th>\n                        <td id=\"T_015f1_row1290_col0\" class=\"data row1290 col0\" >704</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1291\" class=\"row_heading level0 row1291\" >1c429c0cbf771b5b2e36206ee7398eef06090eed</th>\n                        <td id=\"T_015f1_row1291_col0\" class=\"data row1291 col0\" >703</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1292\" class=\"row_heading level0 row1292\" >f0c4d28ff4d702f0b3992c46eec650a8707b8468</th>\n                        <td id=\"T_015f1_row1292_col0\" class=\"data row1292 col0\" >703</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1293\" class=\"row_heading level0 row1293\" >57b247a1e2e6aecbcf9aa0136f9c3cb0a6bc24dc</th>\n                        <td id=\"T_015f1_row1293_col0\" class=\"data row1293 col0\" >701</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1294\" class=\"row_heading level0 row1294\" >a019b78aa03e2790d97da9a63ce61da1c275d633</th>\n                        <td id=\"T_015f1_row1294_col0\" class=\"data row1294 col0\" >700</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1295\" class=\"row_heading level0 row1295\" >0cc7dea498f4ce8f5ae23e6d1e70ccec1ae80b42</th>\n                        <td id=\"T_015f1_row1295_col0\" class=\"data row1295 col0\" >700</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1296\" class=\"row_heading level0 row1296\" >55f145cb2ccc79465fa8232b57ba0c3f3d2e3395</th>\n                        <td id=\"T_015f1_row1296_col0\" class=\"data row1296 col0\" >699</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1297\" class=\"row_heading level0 row1297\" >860cb9b1eb9d9c3430539420497e3191177ba167</th>\n                        <td id=\"T_015f1_row1297_col0\" class=\"data row1297 col0\" >699</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1298\" class=\"row_heading level0 row1298\" >6c0f5a1eb9be678c096ff51004dd7822de3d564f</th>\n                        <td id=\"T_015f1_row1298_col0\" class=\"data row1298 col0\" >698</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1299\" class=\"row_heading level0 row1299\" >62ceea2a1369d0a07b88b57829bfd29f75e8aca1</th>\n                        <td id=\"T_015f1_row1299_col0\" class=\"data row1299 col0\" >698</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1300\" class=\"row_heading level0 row1300\" >f9b59cd728d38dfabf6855b14689e8cdd228a2fc</th>\n                        <td id=\"T_015f1_row1300_col0\" class=\"data row1300 col0\" >697</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1301\" class=\"row_heading level0 row1301\" >20f289570128118d14a3a002248f94b3e47947c7</th>\n                        <td id=\"T_015f1_row1301_col0\" class=\"data row1301 col0\" >697</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1302\" class=\"row_heading level0 row1302\" >299f3bcd9e9c36845201e33e047f9b847e642be6</th>\n                        <td id=\"T_015f1_row1302_col0\" class=\"data row1302 col0\" >697</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1303\" class=\"row_heading level0 row1303\" >6b3ebe7f7ba1f26436905626d6e2347345fa00c5</th>\n                        <td id=\"T_015f1_row1303_col0\" class=\"data row1303 col0\" >696</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1304\" class=\"row_heading level0 row1304\" >5410ca404c069d81b9137a6adab1104ebd13804d</th>\n                        <td id=\"T_015f1_row1304_col0\" class=\"data row1304 col0\" >696</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1305\" class=\"row_heading level0 row1305\" >093ff5e5b76b1ac93cc4526fee24c90c54514d79</th>\n                        <td id=\"T_015f1_row1305_col0\" class=\"data row1305 col0\" >694</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1306\" class=\"row_heading level0 row1306\" >ba29d7e88e1ec718cdba98b1d3866bbaac8981d9</th>\n                        <td id=\"T_015f1_row1306_col0\" class=\"data row1306 col0\" >694</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1307\" class=\"row_heading level0 row1307\" >80f8fb8cf833f0625586a2ba30595a1f1a13a5c4</th>\n                        <td id=\"T_015f1_row1307_col0\" class=\"data row1307 col0\" >693</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1308\" class=\"row_heading level0 row1308\" >5a4609f9c8bab11eebab8f7e06311342f4665c59</th>\n                        <td id=\"T_015f1_row1308_col0\" class=\"data row1308 col0\" >693</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1309\" class=\"row_heading level0 row1309\" >41de1f23d8b0324accf9ba792325255be30940a7</th>\n                        <td id=\"T_015f1_row1309_col0\" class=\"data row1309 col0\" >693</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1310\" class=\"row_heading level0 row1310\" >76fcc109e8ac31b9f4ddbef9dd18b60aac2928a1</th>\n                        <td id=\"T_015f1_row1310_col0\" class=\"data row1310 col0\" >693</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1311\" class=\"row_heading level0 row1311\" >e342f4ae35529560b3e7e30fc5fcc5adc2adb268</th>\n                        <td id=\"T_015f1_row1311_col0\" class=\"data row1311 col0\" >692</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1312\" class=\"row_heading level0 row1312\" >4b49623ea52df2fd6b763cb1ad7769c61d3a3628</th>\n                        <td id=\"T_015f1_row1312_col0\" class=\"data row1312 col0\" >691</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1313\" class=\"row_heading level0 row1313\" >17d7f3ee57959d0cb438a409a087a47581928a5e</th>\n                        <td id=\"T_015f1_row1313_col0\" class=\"data row1313 col0\" >691</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1314\" class=\"row_heading level0 row1314\" >ba7b515fc06c9174eb8619706c54ba920158fc2b</th>\n                        <td id=\"T_015f1_row1314_col0\" class=\"data row1314 col0\" >690</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1315\" class=\"row_heading level0 row1315\" >f58fb81a7382b22c90d48f6c0002f74fa1eeb471</th>\n                        <td id=\"T_015f1_row1315_col0\" class=\"data row1315 col0\" >690</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1316\" class=\"row_heading level0 row1316\" >fb91245a09b92f24ae14fc6e76e1b3549bd6a31d</th>\n                        <td id=\"T_015f1_row1316_col0\" class=\"data row1316 col0\" >689</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1317\" class=\"row_heading level0 row1317\" >c5a23d4a507e6a53b7cfd53eb2c47f5605f98dfb</th>\n                        <td id=\"T_015f1_row1317_col0\" class=\"data row1317 col0\" >687</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1318\" class=\"row_heading level0 row1318\" >9d56a98f7b999c582139778e4bbfdeb1f642f35a</th>\n                        <td id=\"T_015f1_row1318_col0\" class=\"data row1318 col0\" >686</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1319\" class=\"row_heading level0 row1319\" >62596e4dc67c595a12763710c42c5bd6c4ba7b7e</th>\n                        <td id=\"T_015f1_row1319_col0\" class=\"data row1319 col0\" >686</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1320\" class=\"row_heading level0 row1320\" >edb5f3af0880f6498256e0e3d8bf47ce8f6fc063</th>\n                        <td id=\"T_015f1_row1320_col0\" class=\"data row1320 col0\" >686</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1321\" class=\"row_heading level0 row1321\" >91abfc2fed46a71255b59494712133b8d3113db2</th>\n                        <td id=\"T_015f1_row1321_col0\" class=\"data row1321 col0\" >686</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1322\" class=\"row_heading level0 row1322\" >5b6f9f96e23c4386e3683aec31b49703dee0bec0</th>\n                        <td id=\"T_015f1_row1322_col0\" class=\"data row1322 col0\" >685</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1323\" class=\"row_heading level0 row1323\" >cb1e0bae14b56a66bdf073310736fc4ff281046d</th>\n                        <td id=\"T_015f1_row1323_col0\" class=\"data row1323 col0\" >685</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1324\" class=\"row_heading level0 row1324\" >545c21c3a03f0dbbb24af67d8afd1cb1d026ee6a</th>\n                        <td id=\"T_015f1_row1324_col0\" class=\"data row1324 col0\" >685</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1325\" class=\"row_heading level0 row1325\" >c974a4819ba18a143903a6c66ffa0f40d5f547cd</th>\n                        <td id=\"T_015f1_row1325_col0\" class=\"data row1325 col0\" >684</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1326\" class=\"row_heading level0 row1326\" >6eaf298b34c6406db969b83a504a979b0c4876eb</th>\n                        <td id=\"T_015f1_row1326_col0\" class=\"data row1326 col0\" >684</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1327\" class=\"row_heading level0 row1327\" >fb8f2a139be2d72f419c2ab3456828d50819cbab</th>\n                        <td id=\"T_015f1_row1327_col0\" class=\"data row1327 col0\" >684</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1328\" class=\"row_heading level0 row1328\" >591ea59cf88e3397db5d60eb00a5147edd69399a</th>\n                        <td id=\"T_015f1_row1328_col0\" class=\"data row1328 col0\" >683</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1329\" class=\"row_heading level0 row1329\" >8edae58aa511e194a395fcc337a59124cf01110a</th>\n                        <td id=\"T_015f1_row1329_col0\" class=\"data row1329 col0\" >683</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1330\" class=\"row_heading level0 row1330\" >2cefb84307e38af8a5bc654fb33f113507f59312</th>\n                        <td id=\"T_015f1_row1330_col0\" class=\"data row1330 col0\" >682</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1331\" class=\"row_heading level0 row1331\" >cdd64541ef65a742a8792a678d7380c12b321ffc</th>\n                        <td id=\"T_015f1_row1331_col0\" class=\"data row1331 col0\" >681</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1332\" class=\"row_heading level0 row1332\" >c3071c8a249ee0d91108e2c94723b70b9bd050e3</th>\n                        <td id=\"T_015f1_row1332_col0\" class=\"data row1332 col0\" >680</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1333\" class=\"row_heading level0 row1333\" >e00363945eb4a7491d7e7e704113aee244327686</th>\n                        <td id=\"T_015f1_row1333_col0\" class=\"data row1333 col0\" >679</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1334\" class=\"row_heading level0 row1334\" >66980cd9d4c9563e6bf94802c5195c4b56cef7a1</th>\n                        <td id=\"T_015f1_row1334_col0\" class=\"data row1334 col0\" >679</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1335\" class=\"row_heading level0 row1335\" >24677fe9a6f29ace69792429fd85fa8f3efd0192</th>\n                        <td id=\"T_015f1_row1335_col0\" class=\"data row1335 col0\" >678</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1336\" class=\"row_heading level0 row1336\" >34e8b698424d5378022a8748ea6447ab7a4ab659</th>\n                        <td id=\"T_015f1_row1336_col0\" class=\"data row1336 col0\" >678</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1337\" class=\"row_heading level0 row1337\" >a9bb66f5aa14fe4262b0509e0dc9e0cbfcdab9aa</th>\n                        <td id=\"T_015f1_row1337_col0\" class=\"data row1337 col0\" >677</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1338\" class=\"row_heading level0 row1338\" >4f8b7c168dc76c9d3b4ca7903042173e98fe2ddb</th>\n                        <td id=\"T_015f1_row1338_col0\" class=\"data row1338 col0\" >677</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1339\" class=\"row_heading level0 row1339\" >8ca2fbbde07e4ae606ee601cd09999b7c0c91434</th>\n                        <td id=\"T_015f1_row1339_col0\" class=\"data row1339 col0\" >677</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1340\" class=\"row_heading level0 row1340\" >1f8f28d3896bdd008b6b4eef1c43e8cc17b17de0</th>\n                        <td id=\"T_015f1_row1340_col0\" class=\"data row1340 col0\" >676</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1341\" class=\"row_heading level0 row1341\" >8674b60de61d8d995da4cb7293f55681592c69bc</th>\n                        <td id=\"T_015f1_row1341_col0\" class=\"data row1341 col0\" >676</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1342\" class=\"row_heading level0 row1342\" >3a11e008d7665fe81f7ad361851532acb3e1179a</th>\n                        <td id=\"T_015f1_row1342_col0\" class=\"data row1342 col0\" >675</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1343\" class=\"row_heading level0 row1343\" >d40594d16ce3ca76c85eb4d3af66b000e8da4026</th>\n                        <td id=\"T_015f1_row1343_col0\" class=\"data row1343 col0\" >673</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1344\" class=\"row_heading level0 row1344\" >27af254fcc1d176f68908505107f5bb873f293be</th>\n                        <td id=\"T_015f1_row1344_col0\" class=\"data row1344 col0\" >672</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1345\" class=\"row_heading level0 row1345\" >780362b9f634fdd22d4303561a2f75a4bbe4c2ef</th>\n                        <td id=\"T_015f1_row1345_col0\" class=\"data row1345 col0\" >669</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1346\" class=\"row_heading level0 row1346\" >3ce63428d3759cd84971e7ca5114981b2fd18449</th>\n                        <td id=\"T_015f1_row1346_col0\" class=\"data row1346 col0\" >668</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1347\" class=\"row_heading level0 row1347\" >b2589052f0de9a06aa57350ae44782e9a22bb9dd</th>\n                        <td id=\"T_015f1_row1347_col0\" class=\"data row1347 col0\" >668</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1348\" class=\"row_heading level0 row1348\" >1f6f9a43ff74644160d47d0196c72ca0b3809991</th>\n                        <td id=\"T_015f1_row1348_col0\" class=\"data row1348 col0\" >668</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1349\" class=\"row_heading level0 row1349\" >2cd42debd3a97baba20a8f22bc3b9bc6feee00a2</th>\n                        <td id=\"T_015f1_row1349_col0\" class=\"data row1349 col0\" >667</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1350\" class=\"row_heading level0 row1350\" >9de5cb182b333b4d33d36dd461df8ca0c7c7d4f6</th>\n                        <td id=\"T_015f1_row1350_col0\" class=\"data row1350 col0\" >667</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1351\" class=\"row_heading level0 row1351\" >9f21708c9eb3d67fc9757aa90ca7e1447151d89e</th>\n                        <td id=\"T_015f1_row1351_col0\" class=\"data row1351 col0\" >666</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1352\" class=\"row_heading level0 row1352\" >a0c56ac903a7e3bfcf28bdac110195ab8184f1ee</th>\n                        <td id=\"T_015f1_row1352_col0\" class=\"data row1352 col0\" >664</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1353\" class=\"row_heading level0 row1353\" >a77f8e93896f8fc8bc0d0700ca04b802ee79a07f</th>\n                        <td id=\"T_015f1_row1353_col0\" class=\"data row1353 col0\" >663</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1354\" class=\"row_heading level0 row1354\" >7ad515ed96564046892977f04861704950dd9e5d</th>\n                        <td id=\"T_015f1_row1354_col0\" class=\"data row1354 col0\" >663</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1355\" class=\"row_heading level0 row1355\" >f5167a15da108bf5a758d1a6fe1c144b8f168688</th>\n                        <td id=\"T_015f1_row1355_col0\" class=\"data row1355 col0\" >663</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1356\" class=\"row_heading level0 row1356\" >4c4d8e9e0bbfc4634b03c6f69499bc2f77234b63</th>\n                        <td id=\"T_015f1_row1356_col0\" class=\"data row1356 col0\" >663</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1357\" class=\"row_heading level0 row1357\" >a46b8cada5b70a31969bb3083a7b4a2cb8eb8bab</th>\n                        <td id=\"T_015f1_row1357_col0\" class=\"data row1357 col0\" >662</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1358\" class=\"row_heading level0 row1358\" >6f195c5bd5d9292e7eb41733bc80dca45319db5d</th>\n                        <td id=\"T_015f1_row1358_col0\" class=\"data row1358 col0\" >662</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1359\" class=\"row_heading level0 row1359\" >127eee26a2f5d0117aba50974915b689cc484eaf</th>\n                        <td id=\"T_015f1_row1359_col0\" class=\"data row1359 col0\" >662</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1360\" class=\"row_heading level0 row1360\" >513d408c6a35b3b617933278f3aaa679cfaaa9f4</th>\n                        <td id=\"T_015f1_row1360_col0\" class=\"data row1360 col0\" >662</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1361\" class=\"row_heading level0 row1361\" >0eb2a2ef8abf5cce58f0c8ccf7273596c6df29ed</th>\n                        <td id=\"T_015f1_row1361_col0\" class=\"data row1361 col0\" >661</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1362\" class=\"row_heading level0 row1362\" >e9a36465c8bf96c677d9d4831c585659c3c55909</th>\n                        <td id=\"T_015f1_row1362_col0\" class=\"data row1362 col0\" >661</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1363\" class=\"row_heading level0 row1363\" >a5a4cbdb399fec3ed46536984e326a793bde64df</th>\n                        <td id=\"T_015f1_row1363_col0\" class=\"data row1363 col0\" >661</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1364\" class=\"row_heading level0 row1364\" >f6c8257afa041cc78098f144a68f02b677a143cd</th>\n                        <td id=\"T_015f1_row1364_col0\" class=\"data row1364 col0\" >659</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1365\" class=\"row_heading level0 row1365\" >ad0696b92f7688ada010f96caeba4c21d005e650</th>\n                        <td id=\"T_015f1_row1365_col0\" class=\"data row1365 col0\" >659</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1366\" class=\"row_heading level0 row1366\" >b721d4bedd4f3fbe08e176ad1bc2a84b28e4a3cd</th>\n                        <td id=\"T_015f1_row1366_col0\" class=\"data row1366 col0\" >659</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1367\" class=\"row_heading level0 row1367\" >f0f09992fdd3cd2c67686e6d32fb63cb62c6fbad</th>\n                        <td id=\"T_015f1_row1367_col0\" class=\"data row1367 col0\" >659</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1368\" class=\"row_heading level0 row1368\" >62da31b4d4a3113882e34d2f7820498724fb46db</th>\n                        <td id=\"T_015f1_row1368_col0\" class=\"data row1368 col0\" >657</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1369\" class=\"row_heading level0 row1369\" >e4389e3b3c454ed5fc7517585e3583e52402a4e8</th>\n                        <td id=\"T_015f1_row1369_col0\" class=\"data row1369 col0\" >657</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1370\" class=\"row_heading level0 row1370\" >6a9f6d0ec3d62fe6313c8cb3463ae3468b7a94ce</th>\n                        <td id=\"T_015f1_row1370_col0\" class=\"data row1370 col0\" >657</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1371\" class=\"row_heading level0 row1371\" >5eb0a757acd776c9b936ef37c05add7250775606</th>\n                        <td id=\"T_015f1_row1371_col0\" class=\"data row1371 col0\" >656</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1372\" class=\"row_heading level0 row1372\" >e9f5c01efe9058d460ed3830b2a23b729dea930a</th>\n                        <td id=\"T_015f1_row1372_col0\" class=\"data row1372 col0\" >656</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1373\" class=\"row_heading level0 row1373\" >6f774909b33ec9344babf7ff994b8466a7e6f060</th>\n                        <td id=\"T_015f1_row1373_col0\" class=\"data row1373 col0\" >655</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1374\" class=\"row_heading level0 row1374\" >f88932389c3227b24ec34d436d2d06a55854029a</th>\n                        <td id=\"T_015f1_row1374_col0\" class=\"data row1374 col0\" >655</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1375\" class=\"row_heading level0 row1375\" >b65ddf13f8c8fe96e63aa9697ddf21bdaf878a57</th>\n                        <td id=\"T_015f1_row1375_col0\" class=\"data row1375 col0\" >655</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1376\" class=\"row_heading level0 row1376\" >060a1fd0623ec4517f51483aaa0bc8ebfd8dacb2</th>\n                        <td id=\"T_015f1_row1376_col0\" class=\"data row1376 col0\" >655</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1377\" class=\"row_heading level0 row1377\" >aa713301a7d1dc1400191d40a8f50dc20e06c80e</th>\n                        <td id=\"T_015f1_row1377_col0\" class=\"data row1377 col0\" >654</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1378\" class=\"row_heading level0 row1378\" >6888c5ebe2f27944ffe33a0b1f2943e80663cbfa</th>\n                        <td id=\"T_015f1_row1378_col0\" class=\"data row1378 col0\" >653</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1379\" class=\"row_heading level0 row1379\" >f85e77347b0e7a5d3ecf480da2c9471001457b28</th>\n                        <td id=\"T_015f1_row1379_col0\" class=\"data row1379 col0\" >652</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1380\" class=\"row_heading level0 row1380\" >4de331df8316a6dd6a2389dfa5c97e66b21bd19a</th>\n                        <td id=\"T_015f1_row1380_col0\" class=\"data row1380 col0\" >652</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1381\" class=\"row_heading level0 row1381\" >ce72111c318a835e6ef6d9a6211eca59308c455b</th>\n                        <td id=\"T_015f1_row1381_col0\" class=\"data row1381 col0\" >651</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1382\" class=\"row_heading level0 row1382\" >d73000724c487cf2bf1b9c59b432c4fb70d1a98c</th>\n                        <td id=\"T_015f1_row1382_col0\" class=\"data row1382 col0\" >650</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1383\" class=\"row_heading level0 row1383\" >b7e17897b623b70d95097551d5b5b40c66514b01</th>\n                        <td id=\"T_015f1_row1383_col0\" class=\"data row1383 col0\" >649</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1384\" class=\"row_heading level0 row1384\" >63f2b2e53f88b8156c4d6faead527f04edd9c526</th>\n                        <td id=\"T_015f1_row1384_col0\" class=\"data row1384 col0\" >649</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1385\" class=\"row_heading level0 row1385\" >6ae5a4d4f1aceb46c9b1f86f188b635ba706803f</th>\n                        <td id=\"T_015f1_row1385_col0\" class=\"data row1385 col0\" >648</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1386\" class=\"row_heading level0 row1386\" >f2fd7c8b3ae74a54ebcd5498b81b513b7c5e564a</th>\n                        <td id=\"T_015f1_row1386_col0\" class=\"data row1386 col0\" >648</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1387\" class=\"row_heading level0 row1387\" >315dc4970761f38035d1da2d3592624abf1293ab</th>\n                        <td id=\"T_015f1_row1387_col0\" class=\"data row1387 col0\" >648</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1388\" class=\"row_heading level0 row1388\" >d9d74b97f30716252cef532bd66194b98f825af1</th>\n                        <td id=\"T_015f1_row1388_col0\" class=\"data row1388 col0\" >648</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1389\" class=\"row_heading level0 row1389\" >d348cc807438ac5372135b7c6b1cc4fb6805d156</th>\n                        <td id=\"T_015f1_row1389_col0\" class=\"data row1389 col0\" >647</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1390\" class=\"row_heading level0 row1390\" >8a6cadd8c33318a20f36845668a18a8eaf6120ae</th>\n                        <td id=\"T_015f1_row1390_col0\" class=\"data row1390 col0\" >646</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1391\" class=\"row_heading level0 row1391\" >d7127af2522768e3acf69f51a4255aba5fa5f4e5</th>\n                        <td id=\"T_015f1_row1391_col0\" class=\"data row1391 col0\" >645</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1392\" class=\"row_heading level0 row1392\" >c594710e22663f443a05fad98b50526a0b28e74c</th>\n                        <td id=\"T_015f1_row1392_col0\" class=\"data row1392 col0\" >645</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1393\" class=\"row_heading level0 row1393\" >db01605eac3f33540038bd9722aba25774871d43</th>\n                        <td id=\"T_015f1_row1393_col0\" class=\"data row1393 col0\" >645</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1394\" class=\"row_heading level0 row1394\" >32f10c2e4e06ea1e24c9fe5e6080d95ef7ccdcdf</th>\n                        <td id=\"T_015f1_row1394_col0\" class=\"data row1394 col0\" >644</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1395\" class=\"row_heading level0 row1395\" >03431cb0601b5e991132d134135ccffecec83e97</th>\n                        <td id=\"T_015f1_row1395_col0\" class=\"data row1395 col0\" >643</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1396\" class=\"row_heading level0 row1396\" >be17bb02bc2ace505fb40d03f8101e3c0d84e629</th>\n                        <td id=\"T_015f1_row1396_col0\" class=\"data row1396 col0\" >643</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1397\" class=\"row_heading level0 row1397\" >96524d4078bf26b236a6ccc4efcf8bfb14189ab4</th>\n                        <td id=\"T_015f1_row1397_col0\" class=\"data row1397 col0\" >641</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1398\" class=\"row_heading level0 row1398\" >4769a276d414213cf753d6943e632ea68c5561c5</th>\n                        <td id=\"T_015f1_row1398_col0\" class=\"data row1398 col0\" >641</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1399\" class=\"row_heading level0 row1399\" >9d7163b61d20ce30714bc14fd414c08062bc09e1</th>\n                        <td id=\"T_015f1_row1399_col0\" class=\"data row1399 col0\" >641</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1400\" class=\"row_heading level0 row1400\" >ab6e51b9c6fdee669ae8ddf93008c9014ff2f974</th>\n                        <td id=\"T_015f1_row1400_col0\" class=\"data row1400 col0\" >640</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1401\" class=\"row_heading level0 row1401\" >335fe70708ab8a19936380b24cc0d53be8b88b48</th>\n                        <td id=\"T_015f1_row1401_col0\" class=\"data row1401 col0\" >638</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1402\" class=\"row_heading level0 row1402\" >6520bd32524ff3f58c73834d1b60f49253186dfe</th>\n                        <td id=\"T_015f1_row1402_col0\" class=\"data row1402 col0\" >638</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1403\" class=\"row_heading level0 row1403\" >f4ee0c2d3b9049781fbdfb0012dfcbac151f67f6</th>\n                        <td id=\"T_015f1_row1403_col0\" class=\"data row1403 col0\" >638</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1404\" class=\"row_heading level0 row1404\" >965f254a2e8d05bbb40bd2413ff61de3ad6c4151</th>\n                        <td id=\"T_015f1_row1404_col0\" class=\"data row1404 col0\" >637</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1405\" class=\"row_heading level0 row1405\" >00f09c4561768a871af2921cffa0a4fda515766b</th>\n                        <td id=\"T_015f1_row1405_col0\" class=\"data row1405 col0\" >636</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1406\" class=\"row_heading level0 row1406\" >9732307d0a021c8b5c93a451d7181c27aaf8ca24</th>\n                        <td id=\"T_015f1_row1406_col0\" class=\"data row1406 col0\" >636</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1407\" class=\"row_heading level0 row1407\" >2cc9699b22bed4da9e45bbd657732fca4dacb2fb</th>\n                        <td id=\"T_015f1_row1407_col0\" class=\"data row1407 col0\" >636</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1408\" class=\"row_heading level0 row1408\" >e3d4feffb39e400841ee96e52520f2fb655f3863</th>\n                        <td id=\"T_015f1_row1408_col0\" class=\"data row1408 col0\" >636</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1409\" class=\"row_heading level0 row1409\" >868112b676ecdf3e59a6946cf0020aff31d6a3a1</th>\n                        <td id=\"T_015f1_row1409_col0\" class=\"data row1409 col0\" >635</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1410\" class=\"row_heading level0 row1410\" >fc6956beb062b5158252c66953e92a0d25495cac</th>\n                        <td id=\"T_015f1_row1410_col0\" class=\"data row1410 col0\" >634</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1411\" class=\"row_heading level0 row1411\" >0076ff7a084cb2ac8c146139965ab1be296e72c4</th>\n                        <td id=\"T_015f1_row1411_col0\" class=\"data row1411 col0\" >634</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1412\" class=\"row_heading level0 row1412\" >7f0c420ee20ade6729f857319764e008a5ebbc23</th>\n                        <td id=\"T_015f1_row1412_col0\" class=\"data row1412 col0\" >633</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1413\" class=\"row_heading level0 row1413\" >a7f770ae5454e493fae2249c32f89b7b4c135f0b</th>\n                        <td id=\"T_015f1_row1413_col0\" class=\"data row1413 col0\" >632</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1414\" class=\"row_heading level0 row1414\" >26716990fb809aa7b36f656e1883efb027f37516</th>\n                        <td id=\"T_015f1_row1414_col0\" class=\"data row1414 col0\" >631</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1415\" class=\"row_heading level0 row1415\" >656caf4d953752f04b309ceb07ce0f21f37d84e5</th>\n                        <td id=\"T_015f1_row1415_col0\" class=\"data row1415 col0\" >631</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1416\" class=\"row_heading level0 row1416\" >108716739163fd1a6e473359330704f7cd2068f7</th>\n                        <td id=\"T_015f1_row1416_col0\" class=\"data row1416 col0\" >630</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1417\" class=\"row_heading level0 row1417\" >49458c28f94e388100de30ee4853b09c043a3a9b</th>\n                        <td id=\"T_015f1_row1417_col0\" class=\"data row1417 col0\" >630</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1418\" class=\"row_heading level0 row1418\" >7a37f170e97bef16dc9f1f07cbce48a9bbd3ce5b</th>\n                        <td id=\"T_015f1_row1418_col0\" class=\"data row1418 col0\" >630</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1419\" class=\"row_heading level0 row1419\" >61cca33e5becad98a721b5168f7fc3c101cc8fa8</th>\n                        <td id=\"T_015f1_row1419_col0\" class=\"data row1419 col0\" >628</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1420\" class=\"row_heading level0 row1420\" >e31c1fac72abf787780bd78ea261bc1fc02a09c9</th>\n                        <td id=\"T_015f1_row1420_col0\" class=\"data row1420 col0\" >628</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1421\" class=\"row_heading level0 row1421\" >13ad22d45a7adb834649802fbfce285f2e2077e4</th>\n                        <td id=\"T_015f1_row1421_col0\" class=\"data row1421 col0\" >627</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1422\" class=\"row_heading level0 row1422\" >1a5055705844a973b849a245065d48301a811049</th>\n                        <td id=\"T_015f1_row1422_col0\" class=\"data row1422 col0\" >627</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1423\" class=\"row_heading level0 row1423\" >48bc913f0f35baecdcdc1869f41c1511528e45c3</th>\n                        <td id=\"T_015f1_row1423_col0\" class=\"data row1423 col0\" >626</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1424\" class=\"row_heading level0 row1424\" >53b98056d515b63511ac6ad04ee434a61e587a74</th>\n                        <td id=\"T_015f1_row1424_col0\" class=\"data row1424 col0\" >625</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1425\" class=\"row_heading level0 row1425\" >9efa2855d5bcb0f0c2ddc273907b5f051b948ac7</th>\n                        <td id=\"T_015f1_row1425_col0\" class=\"data row1425 col0\" >624</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1426\" class=\"row_heading level0 row1426\" >af2de803b6bf8381b950485b99f87924f0c6ab29</th>\n                        <td id=\"T_015f1_row1426_col0\" class=\"data row1426 col0\" >624</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1427\" class=\"row_heading level0 row1427\" >dc8f08671c59b76f1d313c2e56bd1cacbe55dcac</th>\n                        <td id=\"T_015f1_row1427_col0\" class=\"data row1427 col0\" >624</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1428\" class=\"row_heading level0 row1428\" >4144e570688dc3c06087856f34df24f8ec7c9ee9</th>\n                        <td id=\"T_015f1_row1428_col0\" class=\"data row1428 col0\" >624</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1429\" class=\"row_heading level0 row1429\" >5ec31ac8363b39bc7af3e6137f71ee08c42b832f</th>\n                        <td id=\"T_015f1_row1429_col0\" class=\"data row1429 col0\" >623</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1430\" class=\"row_heading level0 row1430\" >fd04df7749e38e65b34124d58913767844985381</th>\n                        <td id=\"T_015f1_row1430_col0\" class=\"data row1430 col0\" >623</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1431\" class=\"row_heading level0 row1431\" >9c3712b517b7d0aa783ba97333fe953efd96e490</th>\n                        <td id=\"T_015f1_row1431_col0\" class=\"data row1431 col0\" >620</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1432\" class=\"row_heading level0 row1432\" >91c4d4b5e5eb9bfe4a26bc6347acd9dfe8a4c851</th>\n                        <td id=\"T_015f1_row1432_col0\" class=\"data row1432 col0\" >620</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1433\" class=\"row_heading level0 row1433\" >d231e52142a3f2199414850dae56cf484d27becc</th>\n                        <td id=\"T_015f1_row1433_col0\" class=\"data row1433 col0\" >619</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1434\" class=\"row_heading level0 row1434\" >6d7e5ea1f46f0e838e0fe589afea70af714f293e</th>\n                        <td id=\"T_015f1_row1434_col0\" class=\"data row1434 col0\" >618</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1435\" class=\"row_heading level0 row1435\" >6dd9eb2dd89dd8290b1434d03251f28c98882259</th>\n                        <td id=\"T_015f1_row1435_col0\" class=\"data row1435 col0\" >618</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1436\" class=\"row_heading level0 row1436\" >da8b535fe9eb7c6ea9388d1d2c4c80777da0fa2f</th>\n                        <td id=\"T_015f1_row1436_col0\" class=\"data row1436 col0\" >618</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1437\" class=\"row_heading level0 row1437\" >b2bc6ed2eb97037ad580325dad0fbef82c15fe13</th>\n                        <td id=\"T_015f1_row1437_col0\" class=\"data row1437 col0\" >616</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1438\" class=\"row_heading level0 row1438\" >ebf36ef1ba8b2a3480921f4f88c83e32bb0d1d5c</th>\n                        <td id=\"T_015f1_row1438_col0\" class=\"data row1438 col0\" >616</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1439\" class=\"row_heading level0 row1439\" >da176d325538058cbd5a2cdd0c4681a3bbb1a20d</th>\n                        <td id=\"T_015f1_row1439_col0\" class=\"data row1439 col0\" >615</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1440\" class=\"row_heading level0 row1440\" >fb43bce78d303baa0b55a50e5482cc8b6b0469a0</th>\n                        <td id=\"T_015f1_row1440_col0\" class=\"data row1440 col0\" >615</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1441\" class=\"row_heading level0 row1441\" >fb60754891d06ec6974a8c9bc82d374fd6e47416</th>\n                        <td id=\"T_015f1_row1441_col0\" class=\"data row1441 col0\" >614</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1442\" class=\"row_heading level0 row1442\" >1c5e8ea729d746c542bfdf67032b384829c02b39</th>\n                        <td id=\"T_015f1_row1442_col0\" class=\"data row1442 col0\" >613</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1443\" class=\"row_heading level0 row1443\" >cf1c68723d16199e3468a95b30eb0fe0622b8f95</th>\n                        <td id=\"T_015f1_row1443_col0\" class=\"data row1443 col0\" >613</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1444\" class=\"row_heading level0 row1444\" >c5b5b8b13cdfd7a1ed1aab03829ff72bb49bafd0</th>\n                        <td id=\"T_015f1_row1444_col0\" class=\"data row1444 col0\" >612</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1445\" class=\"row_heading level0 row1445\" >b51107fb094a5127ad76ef502ac03632a8f0d67c</th>\n                        <td id=\"T_015f1_row1445_col0\" class=\"data row1445 col0\" >612</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1446\" class=\"row_heading level0 row1446\" >6f6139216e85bc12abedd78fa8abc7b9e3812f63</th>\n                        <td id=\"T_015f1_row1446_col0\" class=\"data row1446 col0\" >612</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1447\" class=\"row_heading level0 row1447\" >917622aa747356819b4a2aa5cb0317ba5cad084b</th>\n                        <td id=\"T_015f1_row1447_col0\" class=\"data row1447 col0\" >611</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1448\" class=\"row_heading level0 row1448\" >33697797a4a247b9ff0d450d416a3bc26b3b20b1</th>\n                        <td id=\"T_015f1_row1448_col0\" class=\"data row1448 col0\" >611</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1449\" class=\"row_heading level0 row1449\" >16ff414d736c72a461546eba2d5671a709c6e3aa</th>\n                        <td id=\"T_015f1_row1449_col0\" class=\"data row1449 col0\" >609</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1450\" class=\"row_heading level0 row1450\" >dc0b4138a9b8f95df46479f30c058b98d015a388</th>\n                        <td id=\"T_015f1_row1450_col0\" class=\"data row1450 col0\" >609</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1451\" class=\"row_heading level0 row1451\" >7c766abc796367d002ba99bff4f572241ee83522</th>\n                        <td id=\"T_015f1_row1451_col0\" class=\"data row1451 col0\" >608</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1452\" class=\"row_heading level0 row1452\" >6421f0d009a7580ad6663eeb1cde7cf638ec91de</th>\n                        <td id=\"T_015f1_row1452_col0\" class=\"data row1452 col0\" >608</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1453\" class=\"row_heading level0 row1453\" >6a7e20bb56a7255dbcf93d27035bda93511e9f5a</th>\n                        <td id=\"T_015f1_row1453_col0\" class=\"data row1453 col0\" >607</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1454\" class=\"row_heading level0 row1454\" >95ea071e0669fe5b02fcc07f49632fd6ebad4003</th>\n                        <td id=\"T_015f1_row1454_col0\" class=\"data row1454 col0\" >606</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1455\" class=\"row_heading level0 row1455\" >8f99b03afba9d152b08ce23d35585498f1fc0f5a</th>\n                        <td id=\"T_015f1_row1455_col0\" class=\"data row1455 col0\" >605</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1456\" class=\"row_heading level0 row1456\" >6470a5177645fff1b12ced89f296194dfc746372</th>\n                        <td id=\"T_015f1_row1456_col0\" class=\"data row1456 col0\" >602</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1457\" class=\"row_heading level0 row1457\" >5c93b86b594fc852ac4d9aa177f273088877ac69</th>\n                        <td id=\"T_015f1_row1457_col0\" class=\"data row1457 col0\" >602</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1458\" class=\"row_heading level0 row1458\" >d9a4fb26081a0a63be5740686cf53310f02e732e</th>\n                        <td id=\"T_015f1_row1458_col0\" class=\"data row1458 col0\" >601</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1459\" class=\"row_heading level0 row1459\" >9e1d236903e6667af233590219c8fe06aacc97af</th>\n                        <td id=\"T_015f1_row1459_col0\" class=\"data row1459 col0\" >601</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1460\" class=\"row_heading level0 row1460\" >4ed576edf3e338f7db5fa86a755a57260555200c</th>\n                        <td id=\"T_015f1_row1460_col0\" class=\"data row1460 col0\" >600</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1461\" class=\"row_heading level0 row1461\" >62a3804f095049e2ec04df0d566103eeca507114</th>\n                        <td id=\"T_015f1_row1461_col0\" class=\"data row1461 col0\" >600</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1462\" class=\"row_heading level0 row1462\" >809373b5e1aeaa875fd5e52e1fae7b88309d0a99</th>\n                        <td id=\"T_015f1_row1462_col0\" class=\"data row1462 col0\" >599</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1463\" class=\"row_heading level0 row1463\" >e5c220800a2d5ec83e355c3b1a2d7a141947e95f</th>\n                        <td id=\"T_015f1_row1463_col0\" class=\"data row1463 col0\" >599</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1464\" class=\"row_heading level0 row1464\" >666496ec4402ee3f810dfbb3ada61a6823cf8f6d</th>\n                        <td id=\"T_015f1_row1464_col0\" class=\"data row1464 col0\" >598</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1465\" class=\"row_heading level0 row1465\" >eebf5db207eec2f3e041f92153d789270f346821</th>\n                        <td id=\"T_015f1_row1465_col0\" class=\"data row1465 col0\" >598</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1466\" class=\"row_heading level0 row1466\" >bd4c5464a4cffed962e9b9ada76016b8002e886b</th>\n                        <td id=\"T_015f1_row1466_col0\" class=\"data row1466 col0\" >598</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1467\" class=\"row_heading level0 row1467\" >6c5128a92a074abb3d26a43810e75ee5fd345415</th>\n                        <td id=\"T_015f1_row1467_col0\" class=\"data row1467 col0\" >598</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1468\" class=\"row_heading level0 row1468\" >91e82355b23f81697d4c1972922482b67463d66d</th>\n                        <td id=\"T_015f1_row1468_col0\" class=\"data row1468 col0\" >597</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1469\" class=\"row_heading level0 row1469\" >a79b7b31c6bf8886008ebb6cff565202f0855745</th>\n                        <td id=\"T_015f1_row1469_col0\" class=\"data row1469 col0\" >597</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1470\" class=\"row_heading level0 row1470\" >2c09230bb32ee49f6a72928f6eeefb6885dc15ce</th>\n                        <td id=\"T_015f1_row1470_col0\" class=\"data row1470 col0\" >595</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1471\" class=\"row_heading level0 row1471\" >9bb5efa915784a57d99d2c1c9a904748ba0aa7d6</th>\n                        <td id=\"T_015f1_row1471_col0\" class=\"data row1471 col0\" >594</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1472\" class=\"row_heading level0 row1472\" >21f556311382f105e7bd6711f38186d19c64eaeb</th>\n                        <td id=\"T_015f1_row1472_col0\" class=\"data row1472 col0\" >594</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1473\" class=\"row_heading level0 row1473\" >3c35247b3527bdaa1226a1773f556d9f3b5e5260</th>\n                        <td id=\"T_015f1_row1473_col0\" class=\"data row1473 col0\" >593</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1474\" class=\"row_heading level0 row1474\" >bca9dc3079a1c30d33cb067450bc57d3d02ef050</th>\n                        <td id=\"T_015f1_row1474_col0\" class=\"data row1474 col0\" >593</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1475\" class=\"row_heading level0 row1475\" >a8a8e92dba9d52ab1f92dd2f65e050fc91f952d0</th>\n                        <td id=\"T_015f1_row1475_col0\" class=\"data row1475 col0\" >592</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1476\" class=\"row_heading level0 row1476\" >f879db40b23c9ec1ac0f0d62418d53c3bf2e6cb5</th>\n                        <td id=\"T_015f1_row1476_col0\" class=\"data row1476 col0\" >591</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1477\" class=\"row_heading level0 row1477\" >51aaaf422c6bf5dcce84391b956a8aebfa41c46b</th>\n                        <td id=\"T_015f1_row1477_col0\" class=\"data row1477 col0\" >590</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1478\" class=\"row_heading level0 row1478\" >46c934893439700099d03a6892ea934ecb2729d6</th>\n                        <td id=\"T_015f1_row1478_col0\" class=\"data row1478 col0\" >590</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1479\" class=\"row_heading level0 row1479\" >1601ecfa733192fdc097a99ac3d1e107926c2858</th>\n                        <td id=\"T_015f1_row1479_col0\" class=\"data row1479 col0\" >588</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1480\" class=\"row_heading level0 row1480\" >3b480e6fb9001a376896b72250c515ff997ab557</th>\n                        <td id=\"T_015f1_row1480_col0\" class=\"data row1480 col0\" >588</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1481\" class=\"row_heading level0 row1481\" >84daad32c93003fac322352b702cc984e381e7c6</th>\n                        <td id=\"T_015f1_row1481_col0\" class=\"data row1481 col0\" >587</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1482\" class=\"row_heading level0 row1482\" >eb5965ab8eeae41a0053ec4ae1d8133e8478707c</th>\n                        <td id=\"T_015f1_row1482_col0\" class=\"data row1482 col0\" >587</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1483\" class=\"row_heading level0 row1483\" >4d5cc880afe864ae101c6ab56dc3a065d83a3bcd</th>\n                        <td id=\"T_015f1_row1483_col0\" class=\"data row1483 col0\" >586</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1484\" class=\"row_heading level0 row1484\" >c0adbfb48efcf906034266d3243c9011aeeb841a</th>\n                        <td id=\"T_015f1_row1484_col0\" class=\"data row1484 col0\" >585</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1485\" class=\"row_heading level0 row1485\" >3193bd6963ee1f1e72c77a822b268d799cd86ca4</th>\n                        <td id=\"T_015f1_row1485_col0\" class=\"data row1485 col0\" >585</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1486\" class=\"row_heading level0 row1486\" >9814a3bcf1be199c11849db9640caa663a534a2b</th>\n                        <td id=\"T_015f1_row1486_col0\" class=\"data row1486 col0\" >584</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1487\" class=\"row_heading level0 row1487\" >1121a047a015aa03932d887f1d0e7627303513c6</th>\n                        <td id=\"T_015f1_row1487_col0\" class=\"data row1487 col0\" >582</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1488\" class=\"row_heading level0 row1488\" >c9bb7a7848b1a4229a06d2cc060b7af5876722f3</th>\n                        <td id=\"T_015f1_row1488_col0\" class=\"data row1488 col0\" >581</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1489\" class=\"row_heading level0 row1489\" >a9f2d89eb253ffaf137bad7322e7cae41cd575d7</th>\n                        <td id=\"T_015f1_row1489_col0\" class=\"data row1489 col0\" >581</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1490\" class=\"row_heading level0 row1490\" >08f7de5409dd4c4df92a9be0e8daebc871d3e7d1</th>\n                        <td id=\"T_015f1_row1490_col0\" class=\"data row1490 col0\" >580</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1491\" class=\"row_heading level0 row1491\" >4fd9afab2530200ef3d38889eb09c3445727f3b4</th>\n                        <td id=\"T_015f1_row1491_col0\" class=\"data row1491 col0\" >580</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1492\" class=\"row_heading level0 row1492\" >ed3c9df2182af4c77e5de6beb4aeeb44b344d2a4</th>\n                        <td id=\"T_015f1_row1492_col0\" class=\"data row1492 col0\" >579</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1493\" class=\"row_heading level0 row1493\" >c71a2f5c4282d27f84b9b841db0e310ef0fcf6cd</th>\n                        <td id=\"T_015f1_row1493_col0\" class=\"data row1493 col0\" >579</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1494\" class=\"row_heading level0 row1494\" >44ef7e479358afc8afb5c55b0493b2651baf0d61</th>\n                        <td id=\"T_015f1_row1494_col0\" class=\"data row1494 col0\" >578</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1495\" class=\"row_heading level0 row1495\" >fe755bd56d9ed25f77b0d180a02c14e901af6332</th>\n                        <td id=\"T_015f1_row1495_col0\" class=\"data row1495 col0\" >578</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1496\" class=\"row_heading level0 row1496\" >a9d3f378307a3bd594161230ebbed35784b926ff</th>\n                        <td id=\"T_015f1_row1496_col0\" class=\"data row1496 col0\" >578</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1497\" class=\"row_heading level0 row1497\" >16374260af7d03b10f167358a4f6a70620e131f4</th>\n                        <td id=\"T_015f1_row1497_col0\" class=\"data row1497 col0\" >578</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1498\" class=\"row_heading level0 row1498\" >cf3425314e459d907136d918566a069aba76247e</th>\n                        <td id=\"T_015f1_row1498_col0\" class=\"data row1498 col0\" >577</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1499\" class=\"row_heading level0 row1499\" >015504eea807d723f1d1a1aca43544189830aed7</th>\n                        <td id=\"T_015f1_row1499_col0\" class=\"data row1499 col0\" >575</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1500\" class=\"row_heading level0 row1500\" >3c89886dd08bb4a24384cf8bc0c6423e4804e6e9</th>\n                        <td id=\"T_015f1_row1500_col0\" class=\"data row1500 col0\" >575</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1501\" class=\"row_heading level0 row1501\" >ae54f8552a572ddf81302b56c07f63c6321270be</th>\n                        <td id=\"T_015f1_row1501_col0\" class=\"data row1501 col0\" >575</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1502\" class=\"row_heading level0 row1502\" >5c10b343d767a30515e6015de25751a2883328f8</th>\n                        <td id=\"T_015f1_row1502_col0\" class=\"data row1502 col0\" >574</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1503\" class=\"row_heading level0 row1503\" >02d90a0bc95e068a8f75e00b3bd78579cb996c89</th>\n                        <td id=\"T_015f1_row1503_col0\" class=\"data row1503 col0\" >573</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1504\" class=\"row_heading level0 row1504\" >f3a4406e8e56eecb1640fd890012923ffb4e6ffc</th>\n                        <td id=\"T_015f1_row1504_col0\" class=\"data row1504 col0\" >573</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1505\" class=\"row_heading level0 row1505\" >d5dad1fcdae9e773ede884b3b4d781d5ee1ec90e</th>\n                        <td id=\"T_015f1_row1505_col0\" class=\"data row1505 col0\" >572</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1506\" class=\"row_heading level0 row1506\" >daf4fa481c73df8025965acb08bf5ca7676bb718</th>\n                        <td id=\"T_015f1_row1506_col0\" class=\"data row1506 col0\" >571</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1507\" class=\"row_heading level0 row1507\" >3ca1f4ad6f659d2f80bfceefe51715d54ad5c312</th>\n                        <td id=\"T_015f1_row1507_col0\" class=\"data row1507 col0\" >571</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1508\" class=\"row_heading level0 row1508\" >95a7f2d07cfafeb000db2d2dcf6392107d955b9b</th>\n                        <td id=\"T_015f1_row1508_col0\" class=\"data row1508 col0\" >570</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1509\" class=\"row_heading level0 row1509\" >dc5c4a0e33cfbe5b0b68b78c66c48db6300e0999</th>\n                        <td id=\"T_015f1_row1509_col0\" class=\"data row1509 col0\" >569</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1510\" class=\"row_heading level0 row1510\" >994c9f48ca6661b6eba4866fd889084ba39b2ae3</th>\n                        <td id=\"T_015f1_row1510_col0\" class=\"data row1510 col0\" >569</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1511\" class=\"row_heading level0 row1511\" >e32eb454533b38ef2da6866f47110a680f8a37f7</th>\n                        <td id=\"T_015f1_row1511_col0\" class=\"data row1511 col0\" >569</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1512\" class=\"row_heading level0 row1512\" >841a208171f1def0a34fa18235a4572e1852a3c1</th>\n                        <td id=\"T_015f1_row1512_col0\" class=\"data row1512 col0\" >568</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1513\" class=\"row_heading level0 row1513\" >bac193708d65c3fd6340b50935ea601dd23d4f6d</th>\n                        <td id=\"T_015f1_row1513_col0\" class=\"data row1513 col0\" >568</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1514\" class=\"row_heading level0 row1514\" >55a28457e756e2bcf8d16c0f0e2a0abb0df33f22</th>\n                        <td id=\"T_015f1_row1514_col0\" class=\"data row1514 col0\" >567</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1515\" class=\"row_heading level0 row1515\" >dcaebf336a284220aa066ffa961f7a34da8fe742</th>\n                        <td id=\"T_015f1_row1515_col0\" class=\"data row1515 col0\" >567</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1516\" class=\"row_heading level0 row1516\" >44b4c582c33c2c8f02e944e680974c7632b240e8</th>\n                        <td id=\"T_015f1_row1516_col0\" class=\"data row1516 col0\" >566</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1517\" class=\"row_heading level0 row1517\" >e0c42f956f21b93f9e1f1cfb33fa5477a56947b0</th>\n                        <td id=\"T_015f1_row1517_col0\" class=\"data row1517 col0\" >566</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1518\" class=\"row_heading level0 row1518\" >8501c6093071eac81d5fb6d567f2cef197492078</th>\n                        <td id=\"T_015f1_row1518_col0\" class=\"data row1518 col0\" >565</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1519\" class=\"row_heading level0 row1519\" >a85115f045dc458c9a2a811b38fb9101a6d6ca83</th>\n                        <td id=\"T_015f1_row1519_col0\" class=\"data row1519 col0\" >565</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1520\" class=\"row_heading level0 row1520\" >7e617ecd1eebc43306335348da7bb5317743343f</th>\n                        <td id=\"T_015f1_row1520_col0\" class=\"data row1520 col0\" >565</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1521\" class=\"row_heading level0 row1521\" >ebc5741253251e9b009a39e5c6f3e176fc54afda</th>\n                        <td id=\"T_015f1_row1521_col0\" class=\"data row1521 col0\" >565</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1522\" class=\"row_heading level0 row1522\" >c6ac9ee99ac8d5e2e7191d08d6fcfb72d8a81a47</th>\n                        <td id=\"T_015f1_row1522_col0\" class=\"data row1522 col0\" >564</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1523\" class=\"row_heading level0 row1523\" >835e59c27eb07192538c8a9dd7bca6aa5065671b</th>\n                        <td id=\"T_015f1_row1523_col0\" class=\"data row1523 col0\" >562</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1524\" class=\"row_heading level0 row1524\" >8042d979cc57ba2f991b91a1525e98b23ef45616</th>\n                        <td id=\"T_015f1_row1524_col0\" class=\"data row1524 col0\" >562</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1525\" class=\"row_heading level0 row1525\" >f7a99ea05f7de2319dbac2badac56097315b50c6</th>\n                        <td id=\"T_015f1_row1525_col0\" class=\"data row1525 col0\" >562</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1526\" class=\"row_heading level0 row1526\" >c3306a6833e95720a4958bc87f0bb8e4fa23e663</th>\n                        <td id=\"T_015f1_row1526_col0\" class=\"data row1526 col0\" >562</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1527\" class=\"row_heading level0 row1527\" >5c9d51fffba8fd3cd8f7258f2a3cc957350864ff</th>\n                        <td id=\"T_015f1_row1527_col0\" class=\"data row1527 col0\" >561</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1528\" class=\"row_heading level0 row1528\" >62f63715ba99871e176526ffe52ad2be5d200688</th>\n                        <td id=\"T_015f1_row1528_col0\" class=\"data row1528 col0\" >558</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1529\" class=\"row_heading level0 row1529\" >fffedf27bf3bf8fa64d01e6b0a6affc9170716f1</th>\n                        <td id=\"T_015f1_row1529_col0\" class=\"data row1529 col0\" >557</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1530\" class=\"row_heading level0 row1530\" >33f83c3b2dbba620b413afa1af33114986298012</th>\n                        <td id=\"T_015f1_row1530_col0\" class=\"data row1530 col0\" >557</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1531\" class=\"row_heading level0 row1531\" >b4b5222f86e04a3d03477df6b1f98ef16f8a2eba</th>\n                        <td id=\"T_015f1_row1531_col0\" class=\"data row1531 col0\" >555</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1532\" class=\"row_heading level0 row1532\" >6133258ed4cd05a204f62d194e3b641236749421</th>\n                        <td id=\"T_015f1_row1532_col0\" class=\"data row1532 col0\" >554</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1533\" class=\"row_heading level0 row1533\" >5fadf6806fff23175ac2d0db11d80cbfe272bc87</th>\n                        <td id=\"T_015f1_row1533_col0\" class=\"data row1533 col0\" >554</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1534\" class=\"row_heading level0 row1534\" >03d6e0320729bf2c2832928ab910cce367907dff</th>\n                        <td id=\"T_015f1_row1534_col0\" class=\"data row1534 col0\" >554</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1535\" class=\"row_heading level0 row1535\" >d6fa6e7e9f2934d9a7756aa804a1d1126081ff22</th>\n                        <td id=\"T_015f1_row1535_col0\" class=\"data row1535 col0\" >554</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1536\" class=\"row_heading level0 row1536\" >0e384fa31a858c85d686c23c84f02c539d6084d6</th>\n                        <td id=\"T_015f1_row1536_col0\" class=\"data row1536 col0\" >553</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1537\" class=\"row_heading level0 row1537\" >a8555f4bb959b00ab1d00e4ec40149e6dcfa43df</th>\n                        <td id=\"T_015f1_row1537_col0\" class=\"data row1537 col0\" >552</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1538\" class=\"row_heading level0 row1538\" >114c6d118df16e1e36f0ad1ae782456287a4ac2f</th>\n                        <td id=\"T_015f1_row1538_col0\" class=\"data row1538 col0\" >550</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1539\" class=\"row_heading level0 row1539\" >43140b7718247f18d98831edec60fb6e629f4e3a</th>\n                        <td id=\"T_015f1_row1539_col0\" class=\"data row1539 col0\" >550</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1540\" class=\"row_heading level0 row1540\" >4347a59e238b4258de29a25c203d53e7e590be2e</th>\n                        <td id=\"T_015f1_row1540_col0\" class=\"data row1540 col0\" >549</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1541\" class=\"row_heading level0 row1541\" >f26678bbbbd078e242638a0d1fb5ba2e61262f4c</th>\n                        <td id=\"T_015f1_row1541_col0\" class=\"data row1541 col0\" >549</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1542\" class=\"row_heading level0 row1542\" >bed6c1701f805fedc91458e4bfdfd38fb3f4130c</th>\n                        <td id=\"T_015f1_row1542_col0\" class=\"data row1542 col0\" >548</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1543\" class=\"row_heading level0 row1543\" >a6fce679a786206072b521a53dde1816563305f3</th>\n                        <td id=\"T_015f1_row1543_col0\" class=\"data row1543 col0\" >548</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1544\" class=\"row_heading level0 row1544\" >85dca0bf98bf926c9ec1239b5f90a4ca536c021d</th>\n                        <td id=\"T_015f1_row1544_col0\" class=\"data row1544 col0\" >548</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1545\" class=\"row_heading level0 row1545\" >ea3d7658ba111873e2e3fe46e0fcb623e44a3145</th>\n                        <td id=\"T_015f1_row1545_col0\" class=\"data row1545 col0\" >545</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1546\" class=\"row_heading level0 row1546\" >cbb2c3fffa06c21111c45433779ffc192ede6f9f</th>\n                        <td id=\"T_015f1_row1546_col0\" class=\"data row1546 col0\" >545</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1547\" class=\"row_heading level0 row1547\" >bb5524399fe568c688ef4138696bf58d9044884c</th>\n                        <td id=\"T_015f1_row1547_col0\" class=\"data row1547 col0\" >544</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1548\" class=\"row_heading level0 row1548\" >405fa41dd78d5f5182b0e3f8832eda69dc0a49d7</th>\n                        <td id=\"T_015f1_row1548_col0\" class=\"data row1548 col0\" >543</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1549\" class=\"row_heading level0 row1549\" >bfaebb72653fac35c19b00e7ce484dc2897f18bd</th>\n                        <td id=\"T_015f1_row1549_col0\" class=\"data row1549 col0\" >543</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1550\" class=\"row_heading level0 row1550\" >8b6f40fef1de1ff1b2e0a3a28534238f9413aa49</th>\n                        <td id=\"T_015f1_row1550_col0\" class=\"data row1550 col0\" >542</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1551\" class=\"row_heading level0 row1551\" >de4e3ae996c9afe3008c2608c65a6b0bc59530c7</th>\n                        <td id=\"T_015f1_row1551_col0\" class=\"data row1551 col0\" >542</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1552\" class=\"row_heading level0 row1552\" >9549d5f807f2049ecb3b36d6489e40b19e4621de</th>\n                        <td id=\"T_015f1_row1552_col0\" class=\"data row1552 col0\" >542</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1553\" class=\"row_heading level0 row1553\" >1b2fd184314ae440900fa9ce1addeb896b5604a9</th>\n                        <td id=\"T_015f1_row1553_col0\" class=\"data row1553 col0\" >542</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1554\" class=\"row_heading level0 row1554\" >edb3277abc1f17edca96cda4e60fb49a4d5414fe</th>\n                        <td id=\"T_015f1_row1554_col0\" class=\"data row1554 col0\" >542</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1555\" class=\"row_heading level0 row1555\" >ea156394f92830a9aad9081f94bd8c09bbf4ac70</th>\n                        <td id=\"T_015f1_row1555_col0\" class=\"data row1555 col0\" >542</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1556\" class=\"row_heading level0 row1556\" >0fdcf09672387c2e2a29d2afdf7e7b9da3f04987</th>\n                        <td id=\"T_015f1_row1556_col0\" class=\"data row1556 col0\" >541</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1557\" class=\"row_heading level0 row1557\" >03ea8980e3e01a4804fbb8208a948d0b76a203fb</th>\n                        <td id=\"T_015f1_row1557_col0\" class=\"data row1557 col0\" >541</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1558\" class=\"row_heading level0 row1558\" >526f170c21f376bc958ccd69e743c20be2d79d16</th>\n                        <td id=\"T_015f1_row1558_col0\" class=\"data row1558 col0\" >541</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1559\" class=\"row_heading level0 row1559\" >590a4dd2afa1ad07090fd5f390f65a55e3dc5f56</th>\n                        <td id=\"T_015f1_row1559_col0\" class=\"data row1559 col0\" >541</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1560\" class=\"row_heading level0 row1560\" >baaa88fc50a5e7908f2958235f90beed1282f440</th>\n                        <td id=\"T_015f1_row1560_col0\" class=\"data row1560 col0\" >541</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1561\" class=\"row_heading level0 row1561\" >b3986d6a6843e6a8781c257af32dbc8d1d613d3b</th>\n                        <td id=\"T_015f1_row1561_col0\" class=\"data row1561 col0\" >540</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1562\" class=\"row_heading level0 row1562\" >3c71e092646647983c77e37d30e8e3ebef144f61</th>\n                        <td id=\"T_015f1_row1562_col0\" class=\"data row1562 col0\" >540</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1563\" class=\"row_heading level0 row1563\" >bbd4301665e78327e8e85d0bbb2173f5e1e3d45f</th>\n                        <td id=\"T_015f1_row1563_col0\" class=\"data row1563 col0\" >539</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1564\" class=\"row_heading level0 row1564\" >2ca3041ce63435ba0599fd148d92cd88e699aac3</th>\n                        <td id=\"T_015f1_row1564_col0\" class=\"data row1564 col0\" >538</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1565\" class=\"row_heading level0 row1565\" >fdcce999b70500e2117e22cb9e1e5977ee28fbb3</th>\n                        <td id=\"T_015f1_row1565_col0\" class=\"data row1565 col0\" >537</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1566\" class=\"row_heading level0 row1566\" >921997f279f265d34e4b406d6a0d96241d9117cc</th>\n                        <td id=\"T_015f1_row1566_col0\" class=\"data row1566 col0\" >537</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1567\" class=\"row_heading level0 row1567\" >66269922a8118a8e99606b3b1b1f5a61df67e078</th>\n                        <td id=\"T_015f1_row1567_col0\" class=\"data row1567 col0\" >537</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1568\" class=\"row_heading level0 row1568\" >63dfa99243021776f6b5bc34d7eb9146e6f82bef</th>\n                        <td id=\"T_015f1_row1568_col0\" class=\"data row1568 col0\" >537</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1569\" class=\"row_heading level0 row1569\" >060336cfa9880f46995dc88c1ca9f186d8ce6f23</th>\n                        <td id=\"T_015f1_row1569_col0\" class=\"data row1569 col0\" >536</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1570\" class=\"row_heading level0 row1570\" >679f86ddedbeff691acc698e567547d0217af613</th>\n                        <td id=\"T_015f1_row1570_col0\" class=\"data row1570 col0\" >536</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1571\" class=\"row_heading level0 row1571\" >56d5a6a3083794a66ca549d308ba263bf1b9c6bb</th>\n                        <td id=\"T_015f1_row1571_col0\" class=\"data row1571 col0\" >536</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1572\" class=\"row_heading level0 row1572\" >4c03e02a2880b4dbccaf87bad308440e182d80c3</th>\n                        <td id=\"T_015f1_row1572_col0\" class=\"data row1572 col0\" >535</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1573\" class=\"row_heading level0 row1573\" >2124856a9767a141276558015a5a149cd9894309</th>\n                        <td id=\"T_015f1_row1573_col0\" class=\"data row1573 col0\" >535</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1574\" class=\"row_heading level0 row1574\" >5c43215d2d7fa8309c357b0534b4e5fb064e7cfa</th>\n                        <td id=\"T_015f1_row1574_col0\" class=\"data row1574 col0\" >534</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1575\" class=\"row_heading level0 row1575\" >50c1582ff8b231e214554e2abe6c4149aa74341a</th>\n                        <td id=\"T_015f1_row1575_col0\" class=\"data row1575 col0\" >534</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1576\" class=\"row_heading level0 row1576\" >7fa9f418afa2d6cd3cb4868ecefefd3686fb4571</th>\n                        <td id=\"T_015f1_row1576_col0\" class=\"data row1576 col0\" >534</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1577\" class=\"row_heading level0 row1577\" >2afa0124b6bb565f316f0ebb39afdbe07cc98a69</th>\n                        <td id=\"T_015f1_row1577_col0\" class=\"data row1577 col0\" >532</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1578\" class=\"row_heading level0 row1578\" >a8e959f492c98e295ce12fa28aff31ae04b69f2d</th>\n                        <td id=\"T_015f1_row1578_col0\" class=\"data row1578 col0\" >532</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1579\" class=\"row_heading level0 row1579\" >bba9a2723b1bb72c0ba051c71a9cdb2fb16373b9</th>\n                        <td id=\"T_015f1_row1579_col0\" class=\"data row1579 col0\" >532</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1580\" class=\"row_heading level0 row1580\" >2fd6a7c0c278b5e48a57449462d2f01652ae3baf</th>\n                        <td id=\"T_015f1_row1580_col0\" class=\"data row1580 col0\" >532</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1581\" class=\"row_heading level0 row1581\" >2b1f221b43f0b7743012abe6e5b099f912ff0914</th>\n                        <td id=\"T_015f1_row1581_col0\" class=\"data row1581 col0\" >531</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1582\" class=\"row_heading level0 row1582\" >2d20c6807e6ceb43096b8acf731e7c7846a0741b</th>\n                        <td id=\"T_015f1_row1582_col0\" class=\"data row1582 col0\" >530</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1583\" class=\"row_heading level0 row1583\" >a7a75b37e8205b88714d8546163f9b556e2ea041</th>\n                        <td id=\"T_015f1_row1583_col0\" class=\"data row1583 col0\" >530</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1584\" class=\"row_heading level0 row1584\" >1378ea9b5d50ebc0ce5bf8b23e045e8ef34e5554</th>\n                        <td id=\"T_015f1_row1584_col0\" class=\"data row1584 col0\" >530</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1585\" class=\"row_heading level0 row1585\" >fe99e94b9d7235df4c50ec1b0ea9365e3ccdd5d3</th>\n                        <td id=\"T_015f1_row1585_col0\" class=\"data row1585 col0\" >529</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1586\" class=\"row_heading level0 row1586\" >28e550a681f1bab67744f2c02508b725b05ffb1b</th>\n                        <td id=\"T_015f1_row1586_col0\" class=\"data row1586 col0\" >529</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1587\" class=\"row_heading level0 row1587\" >d39da1411b3e9e89e2c89931b07f46c338429525</th>\n                        <td id=\"T_015f1_row1587_col0\" class=\"data row1587 col0\" >528</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1588\" class=\"row_heading level0 row1588\" >77a21d279160e860bf21230878193192b18683d8</th>\n                        <td id=\"T_015f1_row1588_col0\" class=\"data row1588 col0\" >528</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1589\" class=\"row_heading level0 row1589\" >f4ad4df7c5cdde039767f7be5cda5babc70444ed</th>\n                        <td id=\"T_015f1_row1589_col0\" class=\"data row1589 col0\" >527</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1590\" class=\"row_heading level0 row1590\" >b5c513b5fca8a4266ab70068c96e403db8888913</th>\n                        <td id=\"T_015f1_row1590_col0\" class=\"data row1590 col0\" >526</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1591\" class=\"row_heading level0 row1591\" >546efd32275eb82f68967fcc41b39565ce16ef6c</th>\n                        <td id=\"T_015f1_row1591_col0\" class=\"data row1591 col0\" >526</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1592\" class=\"row_heading level0 row1592\" >bbc48bc5500c21897962435cf1c95e9be35ac5bd</th>\n                        <td id=\"T_015f1_row1592_col0\" class=\"data row1592 col0\" >526</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1593\" class=\"row_heading level0 row1593\" >683836e0596ccded02bb94e602db0ceea5be012d</th>\n                        <td id=\"T_015f1_row1593_col0\" class=\"data row1593 col0\" >525</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1594\" class=\"row_heading level0 row1594\" >515be105fd6968cb79aa5d1b34c44ca5a8f6f3c3</th>\n                        <td id=\"T_015f1_row1594_col0\" class=\"data row1594 col0\" >525</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1595\" class=\"row_heading level0 row1595\" >4a6f4e041286c0e76a669ceee881942ee06ecc36</th>\n                        <td id=\"T_015f1_row1595_col0\" class=\"data row1595 col0\" >525</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1596\" class=\"row_heading level0 row1596\" >13958bab6d77e2dd9dcea34745d1d536a84027c3</th>\n                        <td id=\"T_015f1_row1596_col0\" class=\"data row1596 col0\" >523</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1597\" class=\"row_heading level0 row1597\" >56bc1d2557bf8225384acb992f4b1993a894db63</th>\n                        <td id=\"T_015f1_row1597_col0\" class=\"data row1597 col0\" >523</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1598\" class=\"row_heading level0 row1598\" >0ef890da00e980ca223b8b3fb40767b766a88fcc</th>\n                        <td id=\"T_015f1_row1598_col0\" class=\"data row1598 col0\" >523</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1599\" class=\"row_heading level0 row1599\" >ee2f79f63642585402d71ec27102e96eec941566</th>\n                        <td id=\"T_015f1_row1599_col0\" class=\"data row1599 col0\" >522</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1600\" class=\"row_heading level0 row1600\" >6300c127331607c6e2b3ea8b283cc0e23a5b9abb</th>\n                        <td id=\"T_015f1_row1600_col0\" class=\"data row1600 col0\" >522</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1601\" class=\"row_heading level0 row1601\" >c55cd6d9b314524447d32f017276ffff0bd4ec7e</th>\n                        <td id=\"T_015f1_row1601_col0\" class=\"data row1601 col0\" >522</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1602\" class=\"row_heading level0 row1602\" >f8a7737cdbeb8c7add4d31c3ad96f28d9c9f4b2f</th>\n                        <td id=\"T_015f1_row1602_col0\" class=\"data row1602 col0\" >522</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1603\" class=\"row_heading level0 row1603\" >ab0d999ee6ccccb1650331a3c17f459f3f62532c</th>\n                        <td id=\"T_015f1_row1603_col0\" class=\"data row1603 col0\" >522</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1604\" class=\"row_heading level0 row1604\" >e2c29d0d9b725a46981c855028ae87c0085d21ce</th>\n                        <td id=\"T_015f1_row1604_col0\" class=\"data row1604 col0\" >522</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1605\" class=\"row_heading level0 row1605\" >3bfe647c2b771a30db58869d34303eac3c0f42f2</th>\n                        <td id=\"T_015f1_row1605_col0\" class=\"data row1605 col0\" >521</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1606\" class=\"row_heading level0 row1606\" >5a8b673a0069658523861a9d957f50b374b1b41d</th>\n                        <td id=\"T_015f1_row1606_col0\" class=\"data row1606 col0\" >520</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1607\" class=\"row_heading level0 row1607\" >16f8ac422b72786f3372362e6037bf7e9bb0e2f2</th>\n                        <td id=\"T_015f1_row1607_col0\" class=\"data row1607 col0\" >520</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1608\" class=\"row_heading level0 row1608\" >41b565be420431b0b224f12e354537fd76b3e0b8</th>\n                        <td id=\"T_015f1_row1608_col0\" class=\"data row1608 col0\" >520</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1609\" class=\"row_heading level0 row1609\" >93e20595eeef175d3aa3c3381f6a22ee792d48d9</th>\n                        <td id=\"T_015f1_row1609_col0\" class=\"data row1609 col0\" >519</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1610\" class=\"row_heading level0 row1610\" >c0beb6ad539d9bd9333c62866c08c844ac69ab28</th>\n                        <td id=\"T_015f1_row1610_col0\" class=\"data row1610 col0\" >519</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1611\" class=\"row_heading level0 row1611\" >25d990fc62eb6d5a42994cd7da0f9b6a70fea57a</th>\n                        <td id=\"T_015f1_row1611_col0\" class=\"data row1611 col0\" >518</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1612\" class=\"row_heading level0 row1612\" >ef75dcdaa0954384042414e8cea6c2b613f2aa16</th>\n                        <td id=\"T_015f1_row1612_col0\" class=\"data row1612 col0\" >518</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1613\" class=\"row_heading level0 row1613\" >18f01893ca676923126b169bbe5f49cfb7fd689d</th>\n                        <td id=\"T_015f1_row1613_col0\" class=\"data row1613 col0\" >518</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1614\" class=\"row_heading level0 row1614\" >be37481b4900bb1022c867ef163e78ae60af0d84</th>\n                        <td id=\"T_015f1_row1614_col0\" class=\"data row1614 col0\" >518</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1615\" class=\"row_heading level0 row1615\" >bc4376cac4eb83018fdf160893fc58c4cfed1f95</th>\n                        <td id=\"T_015f1_row1615_col0\" class=\"data row1615 col0\" >518</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1616\" class=\"row_heading level0 row1616\" >400c7f17c245ef4d2b97f75f9db29242a2b6cdcf</th>\n                        <td id=\"T_015f1_row1616_col0\" class=\"data row1616 col0\" >517</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1617\" class=\"row_heading level0 row1617\" >61c3aaf1a526f808c05952ea3f098e37354a674a</th>\n                        <td id=\"T_015f1_row1617_col0\" class=\"data row1617 col0\" >517</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1618\" class=\"row_heading level0 row1618\" >2af9adb405976d368459bfa6e07afd1f4c54c6cb</th>\n                        <td id=\"T_015f1_row1618_col0\" class=\"data row1618 col0\" >517</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1619\" class=\"row_heading level0 row1619\" >e56f4d4bd83ac16f2de7e70c808806e122598998</th>\n                        <td id=\"T_015f1_row1619_col0\" class=\"data row1619 col0\" >516</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1620\" class=\"row_heading level0 row1620\" >fb33fce9603d8ca18348b83c17d050c62067be74</th>\n                        <td id=\"T_015f1_row1620_col0\" class=\"data row1620 col0\" >515</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1621\" class=\"row_heading level0 row1621\" >a5c258f0e639dbfd5d2a0d0dbd452de6221f8405</th>\n                        <td id=\"T_015f1_row1621_col0\" class=\"data row1621 col0\" >515</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1622\" class=\"row_heading level0 row1622\" >4e283d1ff43cbfb2a24b843b7f68c542148ad135</th>\n                        <td id=\"T_015f1_row1622_col0\" class=\"data row1622 col0\" >514</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1623\" class=\"row_heading level0 row1623\" >01da12eb27c6e37d03d691c31b40591a724db4a2</th>\n                        <td id=\"T_015f1_row1623_col0\" class=\"data row1623 col0\" >514</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1624\" class=\"row_heading level0 row1624\" >7184be51bd6f3daa164faa8eee4154a9bcf04f1e</th>\n                        <td id=\"T_015f1_row1624_col0\" class=\"data row1624 col0\" >513</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1625\" class=\"row_heading level0 row1625\" >b5f3f6610436ff27223ac15a8aef8dc92c5c8504</th>\n                        <td id=\"T_015f1_row1625_col0\" class=\"data row1625 col0\" >512</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1626\" class=\"row_heading level0 row1626\" >b6e011562b8c6bf8ec304963a817cf5cacf8b439</th>\n                        <td id=\"T_015f1_row1626_col0\" class=\"data row1626 col0\" >511</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1627\" class=\"row_heading level0 row1627\" >d28200f9ef9152ea107fa7199475a6c462819a89</th>\n                        <td id=\"T_015f1_row1627_col0\" class=\"data row1627 col0\" >511</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1628\" class=\"row_heading level0 row1628\" >72c0de2367f5cd26005c1fcb3ea54c4054778c24</th>\n                        <td id=\"T_015f1_row1628_col0\" class=\"data row1628 col0\" >511</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1629\" class=\"row_heading level0 row1629\" >dbb1bc872810e47dec10fccda03b0cbc62561c03</th>\n                        <td id=\"T_015f1_row1629_col0\" class=\"data row1629 col0\" >510</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1630\" class=\"row_heading level0 row1630\" >5024a162dfac11512ba8cb59eccd836abe70cf42</th>\n                        <td id=\"T_015f1_row1630_col0\" class=\"data row1630 col0\" >509</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1631\" class=\"row_heading level0 row1631\" >ef62097060f88518178c8f18fd792dac994fa931</th>\n                        <td id=\"T_015f1_row1631_col0\" class=\"data row1631 col0\" >508</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1632\" class=\"row_heading level0 row1632\" >c9f4f99e5cbf5fef305de8912c92befebf7d2af5</th>\n                        <td id=\"T_015f1_row1632_col0\" class=\"data row1632 col0\" >508</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1633\" class=\"row_heading level0 row1633\" >527a233dacabe49e062f66295522b4ac2c713ba5</th>\n                        <td id=\"T_015f1_row1633_col0\" class=\"data row1633 col0\" >508</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1634\" class=\"row_heading level0 row1634\" >ddc66f4c1d56b06703b371d2c59c09a610208dd0</th>\n                        <td id=\"T_015f1_row1634_col0\" class=\"data row1634 col0\" >507</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1635\" class=\"row_heading level0 row1635\" >8b4a23b12ecea2a6e0b9e96b9ce1b3ea9c6112e9</th>\n                        <td id=\"T_015f1_row1635_col0\" class=\"data row1635 col0\" >507</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1636\" class=\"row_heading level0 row1636\" >7af4e320275401c386cfd3e8ee8554692b2120b2</th>\n                        <td id=\"T_015f1_row1636_col0\" class=\"data row1636 col0\" >507</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1637\" class=\"row_heading level0 row1637\" >084f894167eeb0e43097e0c5fdba7471a3d500ef</th>\n                        <td id=\"T_015f1_row1637_col0\" class=\"data row1637 col0\" >507</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1638\" class=\"row_heading level0 row1638\" >0e21976901bf4d5df0bcb54c5e780ded86f4adac</th>\n                        <td id=\"T_015f1_row1638_col0\" class=\"data row1638 col0\" >506</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1639\" class=\"row_heading level0 row1639\" >2d0fff34a3664be0a505e9f3fd33ede950e724f2</th>\n                        <td id=\"T_015f1_row1639_col0\" class=\"data row1639 col0\" >506</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1640\" class=\"row_heading level0 row1640\" >79ccee7623624053785c14b5d5c929c65ed1bc06</th>\n                        <td id=\"T_015f1_row1640_col0\" class=\"data row1640 col0\" >505</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1641\" class=\"row_heading level0 row1641\" >ecc6d99a127b42a064c22578c4e8d8599e0efd81</th>\n                        <td id=\"T_015f1_row1641_col0\" class=\"data row1641 col0\" >505</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1642\" class=\"row_heading level0 row1642\" >c254e10b286149f153381ad9c19b0fba9e39f9e4</th>\n                        <td id=\"T_015f1_row1642_col0\" class=\"data row1642 col0\" >504</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1643\" class=\"row_heading level0 row1643\" >d200d92cb1d4a5921f2ef6e3b5e04efccf7faa00</th>\n                        <td id=\"T_015f1_row1643_col0\" class=\"data row1643 col0\" >503</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1644\" class=\"row_heading level0 row1644\" >90176fd38f659bd0758822665466d823049b6699</th>\n                        <td id=\"T_015f1_row1644_col0\" class=\"data row1644 col0\" >503</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1645\" class=\"row_heading level0 row1645\" >09f02656e632ba49a77f49058b9d8355fe28be4e</th>\n                        <td id=\"T_015f1_row1645_col0\" class=\"data row1645 col0\" >503</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1646\" class=\"row_heading level0 row1646\" >cd64fe2e36226834bca1dc4e9263c04aa55ad63b</th>\n                        <td id=\"T_015f1_row1646_col0\" class=\"data row1646 col0\" >503</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1647\" class=\"row_heading level0 row1647\" >adef870a91d27fc630dfe00a540010113043f705</th>\n                        <td id=\"T_015f1_row1647_col0\" class=\"data row1647 col0\" >502</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1648\" class=\"row_heading level0 row1648\" >9c25950ae49b1d71592a48d8df4e5898cd29901a</th>\n                        <td id=\"T_015f1_row1648_col0\" class=\"data row1648 col0\" >502</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1649\" class=\"row_heading level0 row1649\" >0c2e2cb866846695eb38f8c52521242c278e72dc</th>\n                        <td id=\"T_015f1_row1649_col0\" class=\"data row1649 col0\" >502</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1650\" class=\"row_heading level0 row1650\" >44d21af5372bd2944985d4a09c5ef59cc2ee7caa</th>\n                        <td id=\"T_015f1_row1650_col0\" class=\"data row1650 col0\" >501</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1651\" class=\"row_heading level0 row1651\" >60647448a7f01c05d9c22dc1c7e8dc38700c6c69</th>\n                        <td id=\"T_015f1_row1651_col0\" class=\"data row1651 col0\" >500</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1652\" class=\"row_heading level0 row1652\" >85270c9068d2a6220157b0a38d1395a17a63a915</th>\n                        <td id=\"T_015f1_row1652_col0\" class=\"data row1652 col0\" >500</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1653\" class=\"row_heading level0 row1653\" >55bdaa1acfafb7c52d142b22e6663f3c40876600</th>\n                        <td id=\"T_015f1_row1653_col0\" class=\"data row1653 col0\" >500</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1654\" class=\"row_heading level0 row1654\" >d145e998601e0c859a75c9195aa718c9926d18ec</th>\n                        <td id=\"T_015f1_row1654_col0\" class=\"data row1654 col0\" >499</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1655\" class=\"row_heading level0 row1655\" >216f4faf34db88292329cba5606b194a92ded40f</th>\n                        <td id=\"T_015f1_row1655_col0\" class=\"data row1655 col0\" >498</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1656\" class=\"row_heading level0 row1656\" >44983e085394a0f6253eeb52be1adf2c6a738032</th>\n                        <td id=\"T_015f1_row1656_col0\" class=\"data row1656 col0\" >498</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1657\" class=\"row_heading level0 row1657\" >3c7e7fa0576bc8a2af71d5899581df36f4dab6c8</th>\n                        <td id=\"T_015f1_row1657_col0\" class=\"data row1657 col0\" >497</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1658\" class=\"row_heading level0 row1658\" >93ae93c75713d974590c61db9316c2d7da58a6fc</th>\n                        <td id=\"T_015f1_row1658_col0\" class=\"data row1658 col0\" >497</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1659\" class=\"row_heading level0 row1659\" >e941d2a6e4f59369fc7acc1e0c5aff1e4f02f182</th>\n                        <td id=\"T_015f1_row1659_col0\" class=\"data row1659 col0\" >497</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1660\" class=\"row_heading level0 row1660\" >3f92a781c6c42941f1efb2e77e485c9263e816af</th>\n                        <td id=\"T_015f1_row1660_col0\" class=\"data row1660 col0\" >497</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1661\" class=\"row_heading level0 row1661\" >c14746106d28802d88eb8a375692e5250bee76f5</th>\n                        <td id=\"T_015f1_row1661_col0\" class=\"data row1661 col0\" >497</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1662\" class=\"row_heading level0 row1662\" >ad89f7f699eeaf09d050820c32839ecc712c5c1e</th>\n                        <td id=\"T_015f1_row1662_col0\" class=\"data row1662 col0\" >495</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1663\" class=\"row_heading level0 row1663\" >cda928c922fcb4782edeb11521c2d61709539e8a</th>\n                        <td id=\"T_015f1_row1663_col0\" class=\"data row1663 col0\" >494</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1664\" class=\"row_heading level0 row1664\" >c0fc53a5958ffec2648d3ee6904d515cf1a51b64</th>\n                        <td id=\"T_015f1_row1664_col0\" class=\"data row1664 col0\" >494</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1665\" class=\"row_heading level0 row1665\" >a0855c8b3d8bbff72fc37942738b2fe2382fade1</th>\n                        <td id=\"T_015f1_row1665_col0\" class=\"data row1665 col0\" >492</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1666\" class=\"row_heading level0 row1666\" >297f08bd51038695ba962276ea8fccfd303a507a</th>\n                        <td id=\"T_015f1_row1666_col0\" class=\"data row1666 col0\" >491</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1667\" class=\"row_heading level0 row1667\" >7b3b6765d6eab3009ee18648dcc36224ff5334ce</th>\n                        <td id=\"T_015f1_row1667_col0\" class=\"data row1667 col0\" >490</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1668\" class=\"row_heading level0 row1668\" >cae7f6e38cd05a94053ba6205f738cf385c0e9a9</th>\n                        <td id=\"T_015f1_row1668_col0\" class=\"data row1668 col0\" >490</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1669\" class=\"row_heading level0 row1669\" >e541767087b8a83879c2af29dc21fe7a308886b4</th>\n                        <td id=\"T_015f1_row1669_col0\" class=\"data row1669 col0\" >488</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1670\" class=\"row_heading level0 row1670\" >b1f52858bbf18f942f355bd4974f2c931125d135</th>\n                        <td id=\"T_015f1_row1670_col0\" class=\"data row1670 col0\" >488</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1671\" class=\"row_heading level0 row1671\" >51f14bd11d77539df7191c1bc05bf44e1f9286a5</th>\n                        <td id=\"T_015f1_row1671_col0\" class=\"data row1671 col0\" >488</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1672\" class=\"row_heading level0 row1672\" >31eb732822113582f5286cc0785618339111cf9b</th>\n                        <td id=\"T_015f1_row1672_col0\" class=\"data row1672 col0\" >486</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1673\" class=\"row_heading level0 row1673\" >13118608d409eed9e299a40f6862fde5ad499767</th>\n                        <td id=\"T_015f1_row1673_col0\" class=\"data row1673 col0\" >485</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1674\" class=\"row_heading level0 row1674\" >c117544b4858e7f64e8dc2715c8c7332d7ed5a42</th>\n                        <td id=\"T_015f1_row1674_col0\" class=\"data row1674 col0\" >485</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1675\" class=\"row_heading level0 row1675\" >cd31afb29b2e8c60bcb752ddee7d525184d663a2</th>\n                        <td id=\"T_015f1_row1675_col0\" class=\"data row1675 col0\" >485</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1676\" class=\"row_heading level0 row1676\" >9ac2328da8bb0ab45aa72cd007afd971b8b86b00</th>\n                        <td id=\"T_015f1_row1676_col0\" class=\"data row1676 col0\" >484</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1677\" class=\"row_heading level0 row1677\" >1d6613f1fab3d72f27d43c1753e54f9e67c90a9c</th>\n                        <td id=\"T_015f1_row1677_col0\" class=\"data row1677 col0\" >481</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1678\" class=\"row_heading level0 row1678\" >ffc7c34369257431c7de9129094deb923bb3e3af</th>\n                        <td id=\"T_015f1_row1678_col0\" class=\"data row1678 col0\" >481</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1679\" class=\"row_heading level0 row1679\" >554c245ed84b64d939f1750024732967cc3db3f7</th>\n                        <td id=\"T_015f1_row1679_col0\" class=\"data row1679 col0\" >481</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1680\" class=\"row_heading level0 row1680\" >54bba3a36204f8c71b93798c31f9e0b039914575</th>\n                        <td id=\"T_015f1_row1680_col0\" class=\"data row1680 col0\" >481</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1681\" class=\"row_heading level0 row1681\" >bdfd910fc5a81a4890afb559070d5bee9fdb3993</th>\n                        <td id=\"T_015f1_row1681_col0\" class=\"data row1681 col0\" >480</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1682\" class=\"row_heading level0 row1682\" >a81141e944a6dee770a6ca622dabaea0e3be6540</th>\n                        <td id=\"T_015f1_row1682_col0\" class=\"data row1682 col0\" >479</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1683\" class=\"row_heading level0 row1683\" >5ccd6a1003627e67f7f846b989925824d7fae407</th>\n                        <td id=\"T_015f1_row1683_col0\" class=\"data row1683 col0\" >479</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1684\" class=\"row_heading level0 row1684\" >add1b6040c32fecd2b63d4ae766d410107e9a852</th>\n                        <td id=\"T_015f1_row1684_col0\" class=\"data row1684 col0\" >478</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1685\" class=\"row_heading level0 row1685\" >470ec3c2a8fec5d66a8e320cc7824c4e879b21d9</th>\n                        <td id=\"T_015f1_row1685_col0\" class=\"data row1685 col0\" >478</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1686\" class=\"row_heading level0 row1686\" >3864901889424782e8a308c807dd3c904def5480</th>\n                        <td id=\"T_015f1_row1686_col0\" class=\"data row1686 col0\" >478</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1687\" class=\"row_heading level0 row1687\" >033c1daace404ae4ee3b0a19f2c314bbfb51234b</th>\n                        <td id=\"T_015f1_row1687_col0\" class=\"data row1687 col0\" >477</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1688\" class=\"row_heading level0 row1688\" >d5e224d8c5183956d0fba256aea2d9e21803f441</th>\n                        <td id=\"T_015f1_row1688_col0\" class=\"data row1688 col0\" >477</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1689\" class=\"row_heading level0 row1689\" >d20af782ef6c1db82795ae9b7ba39866dc298bd7</th>\n                        <td id=\"T_015f1_row1689_col0\" class=\"data row1689 col0\" >476</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1690\" class=\"row_heading level0 row1690\" >e00626b2a0592bcc2dd8c92d39b6656745f309b3</th>\n                        <td id=\"T_015f1_row1690_col0\" class=\"data row1690 col0\" >475</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1691\" class=\"row_heading level0 row1691\" >ec82e9fd8d15b3c7d176b9b47b6494c13572dcbd</th>\n                        <td id=\"T_015f1_row1691_col0\" class=\"data row1691 col0\" >474</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1692\" class=\"row_heading level0 row1692\" >bd2f6c778bb8948d5d3445723295795934f7b77c</th>\n                        <td id=\"T_015f1_row1692_col0\" class=\"data row1692 col0\" >474</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1693\" class=\"row_heading level0 row1693\" >ca4bc0393769f23fbf86196857acabb290f44475</th>\n                        <td id=\"T_015f1_row1693_col0\" class=\"data row1693 col0\" >473</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1694\" class=\"row_heading level0 row1694\" >4e0f3944992a806410cecd022e91f317e0f1fdfb</th>\n                        <td id=\"T_015f1_row1694_col0\" class=\"data row1694 col0\" >472</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1695\" class=\"row_heading level0 row1695\" >c3423704f962271dae5b6081d54322dddd02fc8c</th>\n                        <td id=\"T_015f1_row1695_col0\" class=\"data row1695 col0\" >472</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1696\" class=\"row_heading level0 row1696\" >2ea8385eb59fed07b5ef854bb016da7c8cb65520</th>\n                        <td id=\"T_015f1_row1696_col0\" class=\"data row1696 col0\" >471</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1697\" class=\"row_heading level0 row1697\" >0452e85d0a41780463cfe079077ea5bd2f519c7a</th>\n                        <td id=\"T_015f1_row1697_col0\" class=\"data row1697 col0\" >470</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1698\" class=\"row_heading level0 row1698\" >0c79de45568526bf92a9b823a4ce35b564713d58</th>\n                        <td id=\"T_015f1_row1698_col0\" class=\"data row1698 col0\" >469</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1699\" class=\"row_heading level0 row1699\" >6bf96402c8af3b06fa17aabe15dbece02b4d6efe</th>\n                        <td id=\"T_015f1_row1699_col0\" class=\"data row1699 col0\" >468</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1700\" class=\"row_heading level0 row1700\" >7c1456354055cd0ca0982d3b59bb10034811336f</th>\n                        <td id=\"T_015f1_row1700_col0\" class=\"data row1700 col0\" >467</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1701\" class=\"row_heading level0 row1701\" >355582a8bc81b280c3a6e228ed4e88c8c0751d87</th>\n                        <td id=\"T_015f1_row1701_col0\" class=\"data row1701 col0\" >467</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1702\" class=\"row_heading level0 row1702\" >a98ac44bd43e615e0c1ebd9b21b78745802d6171</th>\n                        <td id=\"T_015f1_row1702_col0\" class=\"data row1702 col0\" >467</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1703\" class=\"row_heading level0 row1703\" >09e103887f42552d20328aa41891cf82dace79ab</th>\n                        <td id=\"T_015f1_row1703_col0\" class=\"data row1703 col0\" >466</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1704\" class=\"row_heading level0 row1704\" >177e45bebb82475e28e27b59fee79f184ed09100</th>\n                        <td id=\"T_015f1_row1704_col0\" class=\"data row1704 col0\" >464</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1705\" class=\"row_heading level0 row1705\" >7edd90bed407392519d596139f772ed45685cf2a</th>\n                        <td id=\"T_015f1_row1705_col0\" class=\"data row1705 col0\" >464</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1706\" class=\"row_heading level0 row1706\" >0b9d01cfa89858358f1aae3b63628e19a045630f</th>\n                        <td id=\"T_015f1_row1706_col0\" class=\"data row1706 col0\" >463</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1707\" class=\"row_heading level0 row1707\" >bf1bfc94a6a022ee0c63ba5c164122d7a5839dfc</th>\n                        <td id=\"T_015f1_row1707_col0\" class=\"data row1707 col0\" >463</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1708\" class=\"row_heading level0 row1708\" >0b64e537cc3d1818ec46f94f8dc14043a98d0089</th>\n                        <td id=\"T_015f1_row1708_col0\" class=\"data row1708 col0\" >463</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1709\" class=\"row_heading level0 row1709\" >1cb2ea489607416a335abe2b1af649a22b2cea0a</th>\n                        <td id=\"T_015f1_row1709_col0\" class=\"data row1709 col0\" >460</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1710\" class=\"row_heading level0 row1710\" >8e57a3171309c6ddd6d203133878fa10e48b5d97</th>\n                        <td id=\"T_015f1_row1710_col0\" class=\"data row1710 col0\" >460</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1711\" class=\"row_heading level0 row1711\" >ecd9e2ae2c0da4864dab544e5c17586542ca59bd</th>\n                        <td id=\"T_015f1_row1711_col0\" class=\"data row1711 col0\" >460</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1712\" class=\"row_heading level0 row1712\" >56847a984cabc162a4dc397b2d5c126b0f64bbbe</th>\n                        <td id=\"T_015f1_row1712_col0\" class=\"data row1712 col0\" >460</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1713\" class=\"row_heading level0 row1713\" >c849afd3c21f33970c21599e050f3c885a8cd5d5</th>\n                        <td id=\"T_015f1_row1713_col0\" class=\"data row1713 col0\" >460</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1714\" class=\"row_heading level0 row1714\" >c2ea230216bb94c2f42ec5e9fa0f77b57cccac0f</th>\n                        <td id=\"T_015f1_row1714_col0\" class=\"data row1714 col0\" >459</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1715\" class=\"row_heading level0 row1715\" >d67af246c2dd04db27b9744a3c41ea6f14c79659</th>\n                        <td id=\"T_015f1_row1715_col0\" class=\"data row1715 col0\" >459</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1716\" class=\"row_heading level0 row1716\" >647649398bea2985feed4728d748939666dfb609</th>\n                        <td id=\"T_015f1_row1716_col0\" class=\"data row1716 col0\" >459</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1717\" class=\"row_heading level0 row1717\" >c4ba813f5d699add984dc85cd5792f6d8a66d33a</th>\n                        <td id=\"T_015f1_row1717_col0\" class=\"data row1717 col0\" >459</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1718\" class=\"row_heading level0 row1718\" >18067f8d8861af3bcae51ba04b6b11b9150b9ff2</th>\n                        <td id=\"T_015f1_row1718_col0\" class=\"data row1718 col0\" >457</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1719\" class=\"row_heading level0 row1719\" >65b70ac0c6da0767c6a9e5f3c712aa9b0a3a37b4</th>\n                        <td id=\"T_015f1_row1719_col0\" class=\"data row1719 col0\" >455</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1720\" class=\"row_heading level0 row1720\" >578bdc08cf4ab9b89316b06f5d706ce8b6af0ade</th>\n                        <td id=\"T_015f1_row1720_col0\" class=\"data row1720 col0\" >455</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1721\" class=\"row_heading level0 row1721\" >3585a7665fbbc0f7ff5061ea4223a0b25f64577e</th>\n                        <td id=\"T_015f1_row1721_col0\" class=\"data row1721 col0\" >455</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1722\" class=\"row_heading level0 row1722\" >323407885403a44276f60879b433348e46eb9b7f</th>\n                        <td id=\"T_015f1_row1722_col0\" class=\"data row1722 col0\" >455</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1723\" class=\"row_heading level0 row1723\" >8848cb2d4c2b7ff138ec8547296492e08ff00c3f</th>\n                        <td id=\"T_015f1_row1723_col0\" class=\"data row1723 col0\" >454</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1724\" class=\"row_heading level0 row1724\" >d1d08ceeeca7321ba3520a09b2be5950ac7fa971</th>\n                        <td id=\"T_015f1_row1724_col0\" class=\"data row1724 col0\" >453</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1725\" class=\"row_heading level0 row1725\" >0f5daed11a61e0d6941a1a42ff428ca216d61003</th>\n                        <td id=\"T_015f1_row1725_col0\" class=\"data row1725 col0\" >452</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1726\" class=\"row_heading level0 row1726\" >5d5d10c5679a2da2cd5a78f229506a9a105ea7b8</th>\n                        <td id=\"T_015f1_row1726_col0\" class=\"data row1726 col0\" >451</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1727\" class=\"row_heading level0 row1727\" >af65a56978f45cac3a30ccb8dd6f4f49f81f443a</th>\n                        <td id=\"T_015f1_row1727_col0\" class=\"data row1727 col0\" >450</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1728\" class=\"row_heading level0 row1728\" >a7ac588c1f276fe39079b8e91da73889f3f49b5b</th>\n                        <td id=\"T_015f1_row1728_col0\" class=\"data row1728 col0\" >449</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1729\" class=\"row_heading level0 row1729\" >5edbed4370477eb52f71a3cbca110b1246047cc3</th>\n                        <td id=\"T_015f1_row1729_col0\" class=\"data row1729 col0\" >448</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1730\" class=\"row_heading level0 row1730\" >d26149438aa2b7432258ef62139829beb5e42c31</th>\n                        <td id=\"T_015f1_row1730_col0\" class=\"data row1730 col0\" >447</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1731\" class=\"row_heading level0 row1731\" >c356b16f8709232902dc1278c9abf7d7a2e03fa5</th>\n                        <td id=\"T_015f1_row1731_col0\" class=\"data row1731 col0\" >445</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1732\" class=\"row_heading level0 row1732\" >8c81af1abf15ccacb802c6c50abb1157263dad01</th>\n                        <td id=\"T_015f1_row1732_col0\" class=\"data row1732 col0\" >445</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1733\" class=\"row_heading level0 row1733\" >6d22a28a88b235942084f24966d6cf59032c2d8e</th>\n                        <td id=\"T_015f1_row1733_col0\" class=\"data row1733 col0\" >445</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1734\" class=\"row_heading level0 row1734\" >a5c8eed42f72ed196da8e40409da58e39df45697</th>\n                        <td id=\"T_015f1_row1734_col0\" class=\"data row1734 col0\" >445</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1735\" class=\"row_heading level0 row1735\" >c2260ae17cee228316b68d1faef57775c032a6a0</th>\n                        <td id=\"T_015f1_row1735_col0\" class=\"data row1735 col0\" >445</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1736\" class=\"row_heading level0 row1736\" >6bcdb1157c0d47e8a75d4ae864210156ebc2de96</th>\n                        <td id=\"T_015f1_row1736_col0\" class=\"data row1736 col0\" >444</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1737\" class=\"row_heading level0 row1737\" >7e38850e50bf4b54630a04319d843b1ad66e7dea</th>\n                        <td id=\"T_015f1_row1737_col0\" class=\"data row1737 col0\" >444</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1738\" class=\"row_heading level0 row1738\" >33e2552f3ae9950b5f73ef586b66e305927affb7</th>\n                        <td id=\"T_015f1_row1738_col0\" class=\"data row1738 col0\" >444</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1739\" class=\"row_heading level0 row1739\" >99ef5e3c5b2ba528f8cd5c7534e28544c866fa1e</th>\n                        <td id=\"T_015f1_row1739_col0\" class=\"data row1739 col0\" >443</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1740\" class=\"row_heading level0 row1740\" >e116cf51d2df9388f38e51f7eaf5cf1b1d3e3cea</th>\n                        <td id=\"T_015f1_row1740_col0\" class=\"data row1740 col0\" >442</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1741\" class=\"row_heading level0 row1741\" >7eccb6bc7c0bb3c1bfb5f13e48fc8036d5ced63d</th>\n                        <td id=\"T_015f1_row1741_col0\" class=\"data row1741 col0\" >440</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1742\" class=\"row_heading level0 row1742\" >1f37bbb3f42125f665b83584d0376b21ec3eb43c</th>\n                        <td id=\"T_015f1_row1742_col0\" class=\"data row1742 col0\" >440</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1743\" class=\"row_heading level0 row1743\" >735a61d004af3adaa1331ceb38436d2d078d0cd0</th>\n                        <td id=\"T_015f1_row1743_col0\" class=\"data row1743 col0\" >439</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1744\" class=\"row_heading level0 row1744\" >b2b0ddbb5a2aadfc6ab2f388db584b6c280d3f82</th>\n                        <td id=\"T_015f1_row1744_col0\" class=\"data row1744 col0\" >439</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1745\" class=\"row_heading level0 row1745\" >8a3d0567c5854772f85654b8feae6426c2569b51</th>\n                        <td id=\"T_015f1_row1745_col0\" class=\"data row1745 col0\" >438</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1746\" class=\"row_heading level0 row1746\" >51782c2fabefa97e99dca895fd36f1a47e214610</th>\n                        <td id=\"T_015f1_row1746_col0\" class=\"data row1746 col0\" >438</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1747\" class=\"row_heading level0 row1747\" >320d29082914372e384fefd33584e102db06a6c3</th>\n                        <td id=\"T_015f1_row1747_col0\" class=\"data row1747 col0\" >437</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1748\" class=\"row_heading level0 row1748\" >e36ac3e08483ca5c45f742f960444bffbe642057</th>\n                        <td id=\"T_015f1_row1748_col0\" class=\"data row1748 col0\" >437</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1749\" class=\"row_heading level0 row1749\" >c34f73e48a2289918d2e8cf179771e8ee8cd1cfa</th>\n                        <td id=\"T_015f1_row1749_col0\" class=\"data row1749 col0\" >436</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1750\" class=\"row_heading level0 row1750\" >876f39f8ab4e4e36e7fdc9675099d8ca4820aa94</th>\n                        <td id=\"T_015f1_row1750_col0\" class=\"data row1750 col0\" >435</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1751\" class=\"row_heading level0 row1751\" >48bf946ac4e407f16bcaf1b483911436c59c2b96</th>\n                        <td id=\"T_015f1_row1751_col0\" class=\"data row1751 col0\" >434</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1752\" class=\"row_heading level0 row1752\" >742b87a3f6a1d8576d83518d589bc7227c8ab3aa</th>\n                        <td id=\"T_015f1_row1752_col0\" class=\"data row1752 col0\" >433</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1753\" class=\"row_heading level0 row1753\" >a24b59a1ef7c2c77fe2e486235fdb1b969ce0e22</th>\n                        <td id=\"T_015f1_row1753_col0\" class=\"data row1753 col0\" >433</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1754\" class=\"row_heading level0 row1754\" >9a82d3de33ab1babfdbf2dea903cfd7cb4809259</th>\n                        <td id=\"T_015f1_row1754_col0\" class=\"data row1754 col0\" >433</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1755\" class=\"row_heading level0 row1755\" >dda6deef8c7a90dc352fb288cc1d807b8329f9d0</th>\n                        <td id=\"T_015f1_row1755_col0\" class=\"data row1755 col0\" >432</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1756\" class=\"row_heading level0 row1756\" >395b1da33ed9407d2781300fa978d6bc29761554</th>\n                        <td id=\"T_015f1_row1756_col0\" class=\"data row1756 col0\" >432</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1757\" class=\"row_heading level0 row1757\" >9f7332d4279c9af10a2dfd1a463b549b4ffab11d</th>\n                        <td id=\"T_015f1_row1757_col0\" class=\"data row1757 col0\" >431</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1758\" class=\"row_heading level0 row1758\" >042e55ae2e3aae88070d507977eb97cd7468ef80</th>\n                        <td id=\"T_015f1_row1758_col0\" class=\"data row1758 col0\" >431</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1759\" class=\"row_heading level0 row1759\" >a814e09e19fae9eac08952a7d832c08e6e5de50c</th>\n                        <td id=\"T_015f1_row1759_col0\" class=\"data row1759 col0\" >431</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1760\" class=\"row_heading level0 row1760\" >739ddddef59162677eb0a789f4e58475b07248fc</th>\n                        <td id=\"T_015f1_row1760_col0\" class=\"data row1760 col0\" >430</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1761\" class=\"row_heading level0 row1761\" >2f216a5a1e092c042d83e3c31ea2605aea7fc901</th>\n                        <td id=\"T_015f1_row1761_col0\" class=\"data row1761 col0\" >428</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1762\" class=\"row_heading level0 row1762\" >ea10558abeea1b654962c437574dc29c11498ec7</th>\n                        <td id=\"T_015f1_row1762_col0\" class=\"data row1762 col0\" >428</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1763\" class=\"row_heading level0 row1763\" >a07eff1089bdf366f62b7b308d2ed0af88c01302</th>\n                        <td id=\"T_015f1_row1763_col0\" class=\"data row1763 col0\" >427</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1764\" class=\"row_heading level0 row1764\" >fdfad99711e053cd7dca1057f8dfb80b2f275728</th>\n                        <td id=\"T_015f1_row1764_col0\" class=\"data row1764 col0\" >426</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1765\" class=\"row_heading level0 row1765\" >c61ddfe96443355270ada7b239c2aeb0e05891d9</th>\n                        <td id=\"T_015f1_row1765_col0\" class=\"data row1765 col0\" >426</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1766\" class=\"row_heading level0 row1766\" >a5ff1142b331a09c85a606689e3a1c4702f6b6bc</th>\n                        <td id=\"T_015f1_row1766_col0\" class=\"data row1766 col0\" >426</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1767\" class=\"row_heading level0 row1767\" >7147898f3e961a99d3c5ef432e0553d236db4a45</th>\n                        <td id=\"T_015f1_row1767_col0\" class=\"data row1767 col0\" >425</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1768\" class=\"row_heading level0 row1768\" >e85d24f51b399ed0bc33616b142846a386d2f3fb</th>\n                        <td id=\"T_015f1_row1768_col0\" class=\"data row1768 col0\" >423</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1769\" class=\"row_heading level0 row1769\" >0519cde1c45d4351a4145effc741962a89df9491</th>\n                        <td id=\"T_015f1_row1769_col0\" class=\"data row1769 col0\" >423</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1770\" class=\"row_heading level0 row1770\" >cf1096a317cebd0460892a42f423f162097d76e7</th>\n                        <td id=\"T_015f1_row1770_col0\" class=\"data row1770 col0\" >422</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1771\" class=\"row_heading level0 row1771\" >61266592622383e219e7fb5f40374fc27552ad12</th>\n                        <td id=\"T_015f1_row1771_col0\" class=\"data row1771 col0\" >421</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1772\" class=\"row_heading level0 row1772\" >9951d9b7e9c1fdf0fc69edd7066cd8aaf8fa1450</th>\n                        <td id=\"T_015f1_row1772_col0\" class=\"data row1772 col0\" >421</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1773\" class=\"row_heading level0 row1773\" >92f4946b5ab77772ae1aa77b854e42c361fd8189</th>\n                        <td id=\"T_015f1_row1773_col0\" class=\"data row1773 col0\" >420</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1774\" class=\"row_heading level0 row1774\" >f308aed1cf8356eb1723100a6bde5738397a327d</th>\n                        <td id=\"T_015f1_row1774_col0\" class=\"data row1774 col0\" >419</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1775\" class=\"row_heading level0 row1775\" >95a438171bbaec665c1a2659ea8b246810fb69d2</th>\n                        <td id=\"T_015f1_row1775_col0\" class=\"data row1775 col0\" >419</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1776\" class=\"row_heading level0 row1776\" >96d2f46e3f574c5aaceb7695679446303b11b46b</th>\n                        <td id=\"T_015f1_row1776_col0\" class=\"data row1776 col0\" >418</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1777\" class=\"row_heading level0 row1777\" >3fc1c8fa39c6996247670b3a9182b320dc3d9f0a</th>\n                        <td id=\"T_015f1_row1777_col0\" class=\"data row1777 col0\" >418</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1778\" class=\"row_heading level0 row1778\" >d0724c69b4fe153bf62f7bfc64b58a4a92681a42</th>\n                        <td id=\"T_015f1_row1778_col0\" class=\"data row1778 col0\" >418</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1779\" class=\"row_heading level0 row1779\" >3799b46aa4cf6c3c45c0bc27d8f1efefea96914f</th>\n                        <td id=\"T_015f1_row1779_col0\" class=\"data row1779 col0\" >418</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1780\" class=\"row_heading level0 row1780\" >6b4da2b15770f0dca51b99372ab07ef9716a3fca</th>\n                        <td id=\"T_015f1_row1780_col0\" class=\"data row1780 col0\" >418</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1781\" class=\"row_heading level0 row1781\" >d8d94ed75e4f2082de96d21f811f3bafd2a8d67c</th>\n                        <td id=\"T_015f1_row1781_col0\" class=\"data row1781 col0\" >417</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1782\" class=\"row_heading level0 row1782\" >5450eea271e3f8e776a113815f623685e32afca3</th>\n                        <td id=\"T_015f1_row1782_col0\" class=\"data row1782 col0\" >417</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1783\" class=\"row_heading level0 row1783\" >651be75ce6687aa27a979d96d4f54cfd9d651a8c</th>\n                        <td id=\"T_015f1_row1783_col0\" class=\"data row1783 col0\" >416</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1784\" class=\"row_heading level0 row1784\" >2f7cf4a9a7bc1a77ce0c0f120ed98bed63672329</th>\n                        <td id=\"T_015f1_row1784_col0\" class=\"data row1784 col0\" >416</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1785\" class=\"row_heading level0 row1785\" >e7d431b2031b1f47e69f73d608d11422838b72fa</th>\n                        <td id=\"T_015f1_row1785_col0\" class=\"data row1785 col0\" >415</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1786\" class=\"row_heading level0 row1786\" >205a896a0e9c706e0b2383da2a6c59af13b8c567</th>\n                        <td id=\"T_015f1_row1786_col0\" class=\"data row1786 col0\" >415</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1787\" class=\"row_heading level0 row1787\" >f39b5339676618462abb60821c3d124e5d7da8dd</th>\n                        <td id=\"T_015f1_row1787_col0\" class=\"data row1787 col0\" >415</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1788\" class=\"row_heading level0 row1788\" >1ca696a3dc6829441f550cffba9bfbd42c97a849</th>\n                        <td id=\"T_015f1_row1788_col0\" class=\"data row1788 col0\" >414</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1789\" class=\"row_heading level0 row1789\" >11fa64b0666a170d307abc178f19d3b5f5aca155</th>\n                        <td id=\"T_015f1_row1789_col0\" class=\"data row1789 col0\" >413</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1790\" class=\"row_heading level0 row1790\" >5dae577d08555f0213d50666c451fb8275b81740</th>\n                        <td id=\"T_015f1_row1790_col0\" class=\"data row1790 col0\" >412</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1791\" class=\"row_heading level0 row1791\" >ea56dc31356d3da9dda3c99c91d58ecab9ea9551</th>\n                        <td id=\"T_015f1_row1791_col0\" class=\"data row1791 col0\" >412</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1792\" class=\"row_heading level0 row1792\" >5875360455060f20a3cba705f44a4e3987c9b9f3</th>\n                        <td id=\"T_015f1_row1792_col0\" class=\"data row1792 col0\" >412</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1793\" class=\"row_heading level0 row1793\" >0ef6f62af7d5940e8ac3e083128e1bf51ebd71cf</th>\n                        <td id=\"T_015f1_row1793_col0\" class=\"data row1793 col0\" >410</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1794\" class=\"row_heading level0 row1794\" >7129f110688db020946105b359cae2e59338135b</th>\n                        <td id=\"T_015f1_row1794_col0\" class=\"data row1794 col0\" >410</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1795\" class=\"row_heading level0 row1795\" >f8c13894e113cddb4631cf83445280ec9ca10d84</th>\n                        <td id=\"T_015f1_row1795_col0\" class=\"data row1795 col0\" >409</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1796\" class=\"row_heading level0 row1796\" >f53a8fec6a3a416fa9972e9e8b6297480c6452d5</th>\n                        <td id=\"T_015f1_row1796_col0\" class=\"data row1796 col0\" >409</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1797\" class=\"row_heading level0 row1797\" >2253c6a0d0f7277737aa8e86e0484be805124806</th>\n                        <td id=\"T_015f1_row1797_col0\" class=\"data row1797 col0\" >409</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1798\" class=\"row_heading level0 row1798\" >678248cdfa84dc1384e64ff6be8cadd8cb9b5372</th>\n                        <td id=\"T_015f1_row1798_col0\" class=\"data row1798 col0\" >409</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1799\" class=\"row_heading level0 row1799\" >168e53c5739e83d59826c9f18c33dd5574ef5bdd</th>\n                        <td id=\"T_015f1_row1799_col0\" class=\"data row1799 col0\" >408</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1800\" class=\"row_heading level0 row1800\" >edfec57e7fdec0f9decbe1e65d7e04539d4e68ba</th>\n                        <td id=\"T_015f1_row1800_col0\" class=\"data row1800 col0\" >407</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1801\" class=\"row_heading level0 row1801\" >71d8f9d4a114ece9b578cdac6e2c57a9dabf2ce1</th>\n                        <td id=\"T_015f1_row1801_col0\" class=\"data row1801 col0\" >407</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1802\" class=\"row_heading level0 row1802\" >5c1dffe86791122abdb56b0f235d9125ce6aa250</th>\n                        <td id=\"T_015f1_row1802_col0\" class=\"data row1802 col0\" >407</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1803\" class=\"row_heading level0 row1803\" >de381736cca568378a42b394952afe8bfa0691e9</th>\n                        <td id=\"T_015f1_row1803_col0\" class=\"data row1803 col0\" >407</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1804\" class=\"row_heading level0 row1804\" >4e09a5f7eb9df06543b1dd015b272cae5f69b48d</th>\n                        <td id=\"T_015f1_row1804_col0\" class=\"data row1804 col0\" >405</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1805\" class=\"row_heading level0 row1805\" >78263f1b65e22aed4750fe3690f95ec60193ef72</th>\n                        <td id=\"T_015f1_row1805_col0\" class=\"data row1805 col0\" >404</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1806\" class=\"row_heading level0 row1806\" >38f586d6a54a75a4fc9df0325de877b2bce5de6b</th>\n                        <td id=\"T_015f1_row1806_col0\" class=\"data row1806 col0\" >404</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1807\" class=\"row_heading level0 row1807\" >5f6829d21c6c4bf234338fcb02f5604d4b2e8cb1</th>\n                        <td id=\"T_015f1_row1807_col0\" class=\"data row1807 col0\" >401</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1808\" class=\"row_heading level0 row1808\" >65a57b1598a74fa4b713a63c9ecbc1d4a0ae1091</th>\n                        <td id=\"T_015f1_row1808_col0\" class=\"data row1808 col0\" >401</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1809\" class=\"row_heading level0 row1809\" >c84c55562a24f6b83d64df1e7e4c91f838e5a502</th>\n                        <td id=\"T_015f1_row1809_col0\" class=\"data row1809 col0\" >399</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1810\" class=\"row_heading level0 row1810\" >9f6279762e596eb60cd9a3870c1c305692d8e338</th>\n                        <td id=\"T_015f1_row1810_col0\" class=\"data row1810 col0\" >398</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1811\" class=\"row_heading level0 row1811\" >2db93d0350ecfc751c14d2d349dd8d2bbd8007e0</th>\n                        <td id=\"T_015f1_row1811_col0\" class=\"data row1811 col0\" >398</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1812\" class=\"row_heading level0 row1812\" >623b2c14fac132f32eb1b052d9916f1563866efa</th>\n                        <td id=\"T_015f1_row1812_col0\" class=\"data row1812 col0\" >398</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1813\" class=\"row_heading level0 row1813\" >9ba60f32fb62a821c768182f6a4e69ffd9d0939e</th>\n                        <td id=\"T_015f1_row1813_col0\" class=\"data row1813 col0\" >397</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1814\" class=\"row_heading level0 row1814\" >463f6a61830c5982b9e20c857811212659ec2410</th>\n                        <td id=\"T_015f1_row1814_col0\" class=\"data row1814 col0\" >397</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1815\" class=\"row_heading level0 row1815\" >13471954598fe69337fff51307828d47139465ef</th>\n                        <td id=\"T_015f1_row1815_col0\" class=\"data row1815 col0\" >396</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1816\" class=\"row_heading level0 row1816\" >64f1ff2cb8b08bf5488f7ec6a5eeadb0328b5289</th>\n                        <td id=\"T_015f1_row1816_col0\" class=\"data row1816 col0\" >395</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1817\" class=\"row_heading level0 row1817\" >cd49927a732df8f63b0fd0ff213cf7787fbd6d38</th>\n                        <td id=\"T_015f1_row1817_col0\" class=\"data row1817 col0\" >395</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1818\" class=\"row_heading level0 row1818\" >2b7506d5341d5f5f1b17125882032752fb56b5c0</th>\n                        <td id=\"T_015f1_row1818_col0\" class=\"data row1818 col0\" >395</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1819\" class=\"row_heading level0 row1819\" >7517fccd22e6d7dd4b1438217391a2672833e6b0</th>\n                        <td id=\"T_015f1_row1819_col0\" class=\"data row1819 col0\" >395</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1820\" class=\"row_heading level0 row1820\" >922e582c66016a2b9f64e38f89ebe82f66eefb24</th>\n                        <td id=\"T_015f1_row1820_col0\" class=\"data row1820 col0\" >395</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1821\" class=\"row_heading level0 row1821\" >ff079ef1efd3ec97d9914bc40e45aece8f680704</th>\n                        <td id=\"T_015f1_row1821_col0\" class=\"data row1821 col0\" >394</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1822\" class=\"row_heading level0 row1822\" >bd3aa5ea228c074473e44bf2e14973533bacac93</th>\n                        <td id=\"T_015f1_row1822_col0\" class=\"data row1822 col0\" >394</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1823\" class=\"row_heading level0 row1823\" >cdeffc8ce4c9b5f8997d067c8d53ced5d79cee05</th>\n                        <td id=\"T_015f1_row1823_col0\" class=\"data row1823 col0\" >394</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1824\" class=\"row_heading level0 row1824\" >791d9c4db6910a04adb05efcfcf0a5f8032f691a</th>\n                        <td id=\"T_015f1_row1824_col0\" class=\"data row1824 col0\" >394</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1825\" class=\"row_heading level0 row1825\" >0328276961f014a552c7c7836123c5b3707bd51c</th>\n                        <td id=\"T_015f1_row1825_col0\" class=\"data row1825 col0\" >394</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1826\" class=\"row_heading level0 row1826\" >e58ab0251db65f350b483de74e4bcbf99f7b2ffa</th>\n                        <td id=\"T_015f1_row1826_col0\" class=\"data row1826 col0\" >394</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1827\" class=\"row_heading level0 row1827\" >243fb7659c0fd58f48224c68bc793aa96e5c9b2b</th>\n                        <td id=\"T_015f1_row1827_col0\" class=\"data row1827 col0\" >393</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1828\" class=\"row_heading level0 row1828\" >2123f7ed4c69c18af2aec860ad09bb232d901868</th>\n                        <td id=\"T_015f1_row1828_col0\" class=\"data row1828 col0\" >392</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1829\" class=\"row_heading level0 row1829\" >be0bf3206752bd57075bb6d382a9a90df6c72318</th>\n                        <td id=\"T_015f1_row1829_col0\" class=\"data row1829 col0\" >392</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1830\" class=\"row_heading level0 row1830\" >c09961baf39fec42d6019de7e4f14a3929ee2cd4</th>\n                        <td id=\"T_015f1_row1830_col0\" class=\"data row1830 col0\" >392</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1831\" class=\"row_heading level0 row1831\" >401aaa774c3845f098fd95cbf7c3d0d5daad32c9</th>\n                        <td id=\"T_015f1_row1831_col0\" class=\"data row1831 col0\" >391</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1832\" class=\"row_heading level0 row1832\" >8ed7ced3ec0f023267427b7a6bded6204b39c2ac</th>\n                        <td id=\"T_015f1_row1832_col0\" class=\"data row1832 col0\" >390</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1833\" class=\"row_heading level0 row1833\" >f6510a435161341bed6f347f5410db4cf789a277</th>\n                        <td id=\"T_015f1_row1833_col0\" class=\"data row1833 col0\" >389</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1834\" class=\"row_heading level0 row1834\" >488d9a430bfc92802a08adf1dcedf3f466bdce31</th>\n                        <td id=\"T_015f1_row1834_col0\" class=\"data row1834 col0\" >389</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1835\" class=\"row_heading level0 row1835\" >fc66c781102499a9327d0926d6697123ceb97853</th>\n                        <td id=\"T_015f1_row1835_col0\" class=\"data row1835 col0\" >389</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1836\" class=\"row_heading level0 row1836\" >97cb6124db0f38587dae2689ac9f4a2ee1e55bc8</th>\n                        <td id=\"T_015f1_row1836_col0\" class=\"data row1836 col0\" >388</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1837\" class=\"row_heading level0 row1837\" >37d2d1d84e3ce194aabbaf988f928c583f52e040</th>\n                        <td id=\"T_015f1_row1837_col0\" class=\"data row1837 col0\" >387</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1838\" class=\"row_heading level0 row1838\" >284be046617451d2c3450c11ebf5a5c45a84ac90</th>\n                        <td id=\"T_015f1_row1838_col0\" class=\"data row1838 col0\" >387</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1839\" class=\"row_heading level0 row1839\" >e5f3c294439b1adb115e5b0cdc74a7acb1f430c0</th>\n                        <td id=\"T_015f1_row1839_col0\" class=\"data row1839 col0\" >387</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1840\" class=\"row_heading level0 row1840\" >a6faf1e4f4cb05ee33c5ccfa87394ee8e9569a8d</th>\n                        <td id=\"T_015f1_row1840_col0\" class=\"data row1840 col0\" >385</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1841\" class=\"row_heading level0 row1841\" >577045b4325c1b6bc02b28691c94be4e914a7c60</th>\n                        <td id=\"T_015f1_row1841_col0\" class=\"data row1841 col0\" >385</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1842\" class=\"row_heading level0 row1842\" >d05c54ee710148672e07143cdc57c4608d5d646f</th>\n                        <td id=\"T_015f1_row1842_col0\" class=\"data row1842 col0\" >384</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1843\" class=\"row_heading level0 row1843\" >faa2bf32992cbcaccbf7e8b10e0bb0d60a16a64a</th>\n                        <td id=\"T_015f1_row1843_col0\" class=\"data row1843 col0\" >384</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1844\" class=\"row_heading level0 row1844\" >cc3914c16e08e77f079b0719abe9a370d6f00a8b</th>\n                        <td id=\"T_015f1_row1844_col0\" class=\"data row1844 col0\" >384</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1845\" class=\"row_heading level0 row1845\" >18de41c2f09943c25d95ca4b44a6e4a19af95fcd</th>\n                        <td id=\"T_015f1_row1845_col0\" class=\"data row1845 col0\" >383</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1846\" class=\"row_heading level0 row1846\" >5b68e2fb000769e1d331a54b319cc846d3151dbc</th>\n                        <td id=\"T_015f1_row1846_col0\" class=\"data row1846 col0\" >383</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1847\" class=\"row_heading level0 row1847\" >173c981d7704594722b9751006e12dfe6bcd5c3a</th>\n                        <td id=\"T_015f1_row1847_col0\" class=\"data row1847 col0\" >382</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1848\" class=\"row_heading level0 row1848\" >928e1d75ce38249935188c8b90c7106b8bb7d30d</th>\n                        <td id=\"T_015f1_row1848_col0\" class=\"data row1848 col0\" >382</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1849\" class=\"row_heading level0 row1849\" >590a67e91036954a6e427df1f635f0b3d95ab908</th>\n                        <td id=\"T_015f1_row1849_col0\" class=\"data row1849 col0\" >382</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1850\" class=\"row_heading level0 row1850\" >94887049b5d6072ffd22a5e7de70523931861c2b</th>\n                        <td id=\"T_015f1_row1850_col0\" class=\"data row1850 col0\" >382</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1851\" class=\"row_heading level0 row1851\" >530aee8a0c0b9920b3f81c0893cba50b16ed1ab1</th>\n                        <td id=\"T_015f1_row1851_col0\" class=\"data row1851 col0\" >382</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1852\" class=\"row_heading level0 row1852\" >6b1c310d224d4a233f6a5348e9d2ff308920d2fa</th>\n                        <td id=\"T_015f1_row1852_col0\" class=\"data row1852 col0\" >381</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1853\" class=\"row_heading level0 row1853\" >292d5473663c33d2497ea7c8dcefd0567989d8ee</th>\n                        <td id=\"T_015f1_row1853_col0\" class=\"data row1853 col0\" >380</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1854\" class=\"row_heading level0 row1854\" >331f7c38a77134cef37f444d5fa43142afdf62cd</th>\n                        <td id=\"T_015f1_row1854_col0\" class=\"data row1854 col0\" >380</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1855\" class=\"row_heading level0 row1855\" >00c8933965e23cd2bb890ca08ee7f8a22f933df8</th>\n                        <td id=\"T_015f1_row1855_col0\" class=\"data row1855 col0\" >380</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1856\" class=\"row_heading level0 row1856\" >dc9fd0f591e9bfc22748106f31d72a23c1d294fd</th>\n                        <td id=\"T_015f1_row1856_col0\" class=\"data row1856 col0\" >380</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1857\" class=\"row_heading level0 row1857\" >93790bd0a13de010d6528037c16d313ea7cb0233</th>\n                        <td id=\"T_015f1_row1857_col0\" class=\"data row1857 col0\" >380</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1858\" class=\"row_heading level0 row1858\" >a25ba3a6933dbaba0c45bc13bc49cedd123a5d69</th>\n                        <td id=\"T_015f1_row1858_col0\" class=\"data row1858 col0\" >380</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1859\" class=\"row_heading level0 row1859\" >fd7e06b88954f0ca0a2987e1741453624462bcc6</th>\n                        <td id=\"T_015f1_row1859_col0\" class=\"data row1859 col0\" >379</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1860\" class=\"row_heading level0 row1860\" >7ef739ea2b2fdcf139a8faaa11e5f5a0207eb7df</th>\n                        <td id=\"T_015f1_row1860_col0\" class=\"data row1860 col0\" >379</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1861\" class=\"row_heading level0 row1861\" >145b1f58975f302e86bbc0c4b3744df54c9c5a8f</th>\n                        <td id=\"T_015f1_row1861_col0\" class=\"data row1861 col0\" >379</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1862\" class=\"row_heading level0 row1862\" >4a8e16eed78042df1d5f4dd2b7c7488d19999aef</th>\n                        <td id=\"T_015f1_row1862_col0\" class=\"data row1862 col0\" >379</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1863\" class=\"row_heading level0 row1863\" >62182ee496ec9a0960d38c6b1b7b213ba74d2975</th>\n                        <td id=\"T_015f1_row1863_col0\" class=\"data row1863 col0\" >378</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1864\" class=\"row_heading level0 row1864\" >e3282e7168764a51cd65bc8891a7c6c7cd928c84</th>\n                        <td id=\"T_015f1_row1864_col0\" class=\"data row1864 col0\" >378</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1865\" class=\"row_heading level0 row1865\" >7fb327b2202d0411c813f9cc61912d59662cce43</th>\n                        <td id=\"T_015f1_row1865_col0\" class=\"data row1865 col0\" >378</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1866\" class=\"row_heading level0 row1866\" >076a35d7528adeae7ff24cb7d0f305a56aad60ea</th>\n                        <td id=\"T_015f1_row1866_col0\" class=\"data row1866 col0\" >378</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1867\" class=\"row_heading level0 row1867\" >b224c1110c93cb909981c383e87345691d26bff7</th>\n                        <td id=\"T_015f1_row1867_col0\" class=\"data row1867 col0\" >377</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1868\" class=\"row_heading level0 row1868\" >53a65f2ceb68d4fab8fe912e36b2ca5d410a61be</th>\n                        <td id=\"T_015f1_row1868_col0\" class=\"data row1868 col0\" >376</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1869\" class=\"row_heading level0 row1869\" >72217cacec2e5ccbdd00b6a08bb06ded7b9717b5</th>\n                        <td id=\"T_015f1_row1869_col0\" class=\"data row1869 col0\" >376</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1870\" class=\"row_heading level0 row1870\" >643c6f7e0d1af73b53e8c524066de51985c13197</th>\n                        <td id=\"T_015f1_row1870_col0\" class=\"data row1870 col0\" >376</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1871\" class=\"row_heading level0 row1871\" >72d202fe36ca3a3e1d0a83dd214cadef41af513f</th>\n                        <td id=\"T_015f1_row1871_col0\" class=\"data row1871 col0\" >376</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1872\" class=\"row_heading level0 row1872\" >61527abbf490712477ae1d79dfe928e2be45402a</th>\n                        <td id=\"T_015f1_row1872_col0\" class=\"data row1872 col0\" >375</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1873\" class=\"row_heading level0 row1873\" >96f14b4fcd1e9214a581fd4dbbd7ed8514a030fe</th>\n                        <td id=\"T_015f1_row1873_col0\" class=\"data row1873 col0\" >375</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1874\" class=\"row_heading level0 row1874\" >fa16b833e4bb0bb574ee17510c32e28896833214</th>\n                        <td id=\"T_015f1_row1874_col0\" class=\"data row1874 col0\" >375</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1875\" class=\"row_heading level0 row1875\" >b0c09c50d0f099d9711930d6bc70810d90d6a8af</th>\n                        <td id=\"T_015f1_row1875_col0\" class=\"data row1875 col0\" >375</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1876\" class=\"row_heading level0 row1876\" >b56a7451fdebfe986a4a17414a9b289161e4dc50</th>\n                        <td id=\"T_015f1_row1876_col0\" class=\"data row1876 col0\" >375</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1877\" class=\"row_heading level0 row1877\" >22fd73b373c4c81d823ea689e189bd2faef995dd</th>\n                        <td id=\"T_015f1_row1877_col0\" class=\"data row1877 col0\" >375</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1878\" class=\"row_heading level0 row1878\" >d7d656e9ce735776b6690265c87eeb1897dd0c35</th>\n                        <td id=\"T_015f1_row1878_col0\" class=\"data row1878 col0\" >373</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1879\" class=\"row_heading level0 row1879\" >433a197fe8c761e2d67d99ad78a8534665e74b60</th>\n                        <td id=\"T_015f1_row1879_col0\" class=\"data row1879 col0\" >373</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1880\" class=\"row_heading level0 row1880\" >4c83a7a1e51bfa8a5fa20e854ab3feec057c52c9</th>\n                        <td id=\"T_015f1_row1880_col0\" class=\"data row1880 col0\" >373</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1881\" class=\"row_heading level0 row1881\" >599fa96d549ed870671d6bc1927aaa8bbaacca12</th>\n                        <td id=\"T_015f1_row1881_col0\" class=\"data row1881 col0\" >372</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1882\" class=\"row_heading level0 row1882\" >e9cf7114afa58ed90674f2afb60c6636b70742b2</th>\n                        <td id=\"T_015f1_row1882_col0\" class=\"data row1882 col0\" >371</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1883\" class=\"row_heading level0 row1883\" >03d3f05212b9bbdfc17a1f6ff8b84cec2373e4f6</th>\n                        <td id=\"T_015f1_row1883_col0\" class=\"data row1883 col0\" >371</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1884\" class=\"row_heading level0 row1884\" >17417937539dd453b7e6492f9d5061c12573e5d6</th>\n                        <td id=\"T_015f1_row1884_col0\" class=\"data row1884 col0\" >370</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1885\" class=\"row_heading level0 row1885\" >2d6473e9ead4570652c19816cc32184e24525956</th>\n                        <td id=\"T_015f1_row1885_col0\" class=\"data row1885 col0\" >370</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1886\" class=\"row_heading level0 row1886\" >0e0654ac3d69c3ebbe3c8c65207e139a6c129a14</th>\n                        <td id=\"T_015f1_row1886_col0\" class=\"data row1886 col0\" >370</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1887\" class=\"row_heading level0 row1887\" >a19f846573a885943825d6bd401f64e70c4579f1</th>\n                        <td id=\"T_015f1_row1887_col0\" class=\"data row1887 col0\" >369</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1888\" class=\"row_heading level0 row1888\" >306a5e55e5d9d2c2425b1be8928e28b2d14ffc9d</th>\n                        <td id=\"T_015f1_row1888_col0\" class=\"data row1888 col0\" >369</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1889\" class=\"row_heading level0 row1889\" >c0e6c32ac2586d1c7c31c79cbaf708e9879fd7c2</th>\n                        <td id=\"T_015f1_row1889_col0\" class=\"data row1889 col0\" >369</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1890\" class=\"row_heading level0 row1890\" >22ee6913676f1613694ab440fb5b21d69e86d62a</th>\n                        <td id=\"T_015f1_row1890_col0\" class=\"data row1890 col0\" >368</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1891\" class=\"row_heading level0 row1891\" >30b8c27e760ac63d8097627589bf6c9ada4fb39f</th>\n                        <td id=\"T_015f1_row1891_col0\" class=\"data row1891 col0\" >368</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1892\" class=\"row_heading level0 row1892\" >4126d07e7c513b7326d2ef9c3cbf2412eb7a0db8</th>\n                        <td id=\"T_015f1_row1892_col0\" class=\"data row1892 col0\" >367</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1893\" class=\"row_heading level0 row1893\" >d5bd87a3ff87faaf3985f09a9df40a22bf60238b</th>\n                        <td id=\"T_015f1_row1893_col0\" class=\"data row1893 col0\" >366</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1894\" class=\"row_heading level0 row1894\" >f315da8e9ccf18fbe243ced3129d744c197ac407</th>\n                        <td id=\"T_015f1_row1894_col0\" class=\"data row1894 col0\" >365</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1895\" class=\"row_heading level0 row1895\" >9a05f6876769e73ea566c90807e7d1948e7a661e</th>\n                        <td id=\"T_015f1_row1895_col0\" class=\"data row1895 col0\" >363</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1896\" class=\"row_heading level0 row1896\" >fa57df29b8ab97259c61687eb817a4902a310f96</th>\n                        <td id=\"T_015f1_row1896_col0\" class=\"data row1896 col0\" >363</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1897\" class=\"row_heading level0 row1897\" >1ff45e1798b4a0950870d505aa00b5add7915e03</th>\n                        <td id=\"T_015f1_row1897_col0\" class=\"data row1897 col0\" >363</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1898\" class=\"row_heading level0 row1898\" >dab7ddd3257f9b9a36d493520a6e57c4d955d814</th>\n                        <td id=\"T_015f1_row1898_col0\" class=\"data row1898 col0\" >363</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1899\" class=\"row_heading level0 row1899\" >5e659698b697f5fa0759dcb9cb42e557ca80f09e</th>\n                        <td id=\"T_015f1_row1899_col0\" class=\"data row1899 col0\" >362</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1900\" class=\"row_heading level0 row1900\" >c9e40f360548050e905abaa11bfee57c9d5b9636</th>\n                        <td id=\"T_015f1_row1900_col0\" class=\"data row1900 col0\" >362</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1901\" class=\"row_heading level0 row1901\" >d6e8465bc0a82bb7895310575a1f64bfd74f67a6</th>\n                        <td id=\"T_015f1_row1901_col0\" class=\"data row1901 col0\" >362</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1902\" class=\"row_heading level0 row1902\" >331bc701d5d8640d7c7d0811854f981a2c79f2bb</th>\n                        <td id=\"T_015f1_row1902_col0\" class=\"data row1902 col0\" >362</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1903\" class=\"row_heading level0 row1903\" >453f1dcf849f2cb9071d6e502f6165df018414b8</th>\n                        <td id=\"T_015f1_row1903_col0\" class=\"data row1903 col0\" >362</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1904\" class=\"row_heading level0 row1904\" >8e7c6349b90405b521061126b261a85098b12753</th>\n                        <td id=\"T_015f1_row1904_col0\" class=\"data row1904 col0\" >362</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1905\" class=\"row_heading level0 row1905\" >099784a918a39e6b100bf1ef96407210d2a2506c</th>\n                        <td id=\"T_015f1_row1905_col0\" class=\"data row1905 col0\" >362</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1906\" class=\"row_heading level0 row1906\" >8b57060eacf1315b403dd583c119584f2666fc62</th>\n                        <td id=\"T_015f1_row1906_col0\" class=\"data row1906 col0\" >360</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1907\" class=\"row_heading level0 row1907\" >d5b7fee3c60fdca2fe52aec06e5689b7d2e6a345</th>\n                        <td id=\"T_015f1_row1907_col0\" class=\"data row1907 col0\" >360</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1908\" class=\"row_heading level0 row1908\" >647e4afcb61f5b218ef8d8ac5afb680bf82f3d06</th>\n                        <td id=\"T_015f1_row1908_col0\" class=\"data row1908 col0\" >359</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1909\" class=\"row_heading level0 row1909\" >ab94ebeb29cea34aed181638da81310ecc9cf966</th>\n                        <td id=\"T_015f1_row1909_col0\" class=\"data row1909 col0\" >359</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1910\" class=\"row_heading level0 row1910\" >48393e0b07e79cbc7ec5d4524b90a5b929ced4fa</th>\n                        <td id=\"T_015f1_row1910_col0\" class=\"data row1910 col0\" >359</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1911\" class=\"row_heading level0 row1911\" >508be8c7606b225ba9317af2471566cff4b12404</th>\n                        <td id=\"T_015f1_row1911_col0\" class=\"data row1911 col0\" >358</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1912\" class=\"row_heading level0 row1912\" >30428b8ce06cde6ac2ca6dff0402178deaa204e3</th>\n                        <td id=\"T_015f1_row1912_col0\" class=\"data row1912 col0\" >358</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1913\" class=\"row_heading level0 row1913\" >c6252a2f068d76c6602b129949edfc3d3df46a6f</th>\n                        <td id=\"T_015f1_row1913_col0\" class=\"data row1913 col0\" >358</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1914\" class=\"row_heading level0 row1914\" >815f9c6775fe8aeaedeb4dcc08039eae8f1818f1</th>\n                        <td id=\"T_015f1_row1914_col0\" class=\"data row1914 col0\" >358</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1915\" class=\"row_heading level0 row1915\" >650db2a957d42935bf6a616b30e1a01a1679271d</th>\n                        <td id=\"T_015f1_row1915_col0\" class=\"data row1915 col0\" >357</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1916\" class=\"row_heading level0 row1916\" >6b421563163000cd1e46e5b9454b83d3b78285a4</th>\n                        <td id=\"T_015f1_row1916_col0\" class=\"data row1916 col0\" >357</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1917\" class=\"row_heading level0 row1917\" >91e94ba4600a60c11950a8854bab3e24b67dc08e</th>\n                        <td id=\"T_015f1_row1917_col0\" class=\"data row1917 col0\" >357</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1918\" class=\"row_heading level0 row1918\" >c58d96b124f26369cc919d32f8ce0dd151e9ef1d</th>\n                        <td id=\"T_015f1_row1918_col0\" class=\"data row1918 col0\" >357</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1919\" class=\"row_heading level0 row1919\" >97ffb75de651ff42c9b2abd1ce3ba675084d8951</th>\n                        <td id=\"T_015f1_row1919_col0\" class=\"data row1919 col0\" >357</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1920\" class=\"row_heading level0 row1920\" >e83b363240b04a651c0ff529eeda6a0ceac62bdf</th>\n                        <td id=\"T_015f1_row1920_col0\" class=\"data row1920 col0\" >357</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1921\" class=\"row_heading level0 row1921\" >76423d3ee8c67f8f95cf7737db8888a2e4e8ee93</th>\n                        <td id=\"T_015f1_row1921_col0\" class=\"data row1921 col0\" >357</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1922\" class=\"row_heading level0 row1922\" >a367e4b58bbc0b6630cfe725260de764422afe1e</th>\n                        <td id=\"T_015f1_row1922_col0\" class=\"data row1922 col0\" >355</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1923\" class=\"row_heading level0 row1923\" >8c936564ea4b4300576f53136505527eb5972c07</th>\n                        <td id=\"T_015f1_row1923_col0\" class=\"data row1923 col0\" >355</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1924\" class=\"row_heading level0 row1924\" >21088d88b91058e8eb4826b661cb12be6176ecf7</th>\n                        <td id=\"T_015f1_row1924_col0\" class=\"data row1924 col0\" >354</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1925\" class=\"row_heading level0 row1925\" >e9006ffbe2bc47f2a6cfe2da53f6989b66f53be2</th>\n                        <td id=\"T_015f1_row1925_col0\" class=\"data row1925 col0\" >354</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1926\" class=\"row_heading level0 row1926\" >10983f664fc2be47f37d3bef4c78e2f088620fef</th>\n                        <td id=\"T_015f1_row1926_col0\" class=\"data row1926 col0\" >354</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1927\" class=\"row_heading level0 row1927\" >5f3aea726854a21989ba36583d51d6563b3797b6</th>\n                        <td id=\"T_015f1_row1927_col0\" class=\"data row1927 col0\" >354</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1928\" class=\"row_heading level0 row1928\" >301c3fc8a8fec77360b7f26680f466ead14fd998</th>\n                        <td id=\"T_015f1_row1928_col0\" class=\"data row1928 col0\" >353</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1929\" class=\"row_heading level0 row1929\" >4f424230d8fe1126c930dff30f14ab86a26e125a</th>\n                        <td id=\"T_015f1_row1929_col0\" class=\"data row1929 col0\" >353</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1930\" class=\"row_heading level0 row1930\" >240a1d490dbebf19ff0a5cba9fe0c009f292218a</th>\n                        <td id=\"T_015f1_row1930_col0\" class=\"data row1930 col0\" >353</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1931\" class=\"row_heading level0 row1931\" >a2cf73996f74f9eb3279a4a8e9d69854e61908b6</th>\n                        <td id=\"T_015f1_row1931_col0\" class=\"data row1931 col0\" >352</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1932\" class=\"row_heading level0 row1932\" >ce28608c3d091ac0d25d84459ebad253edf83e1f</th>\n                        <td id=\"T_015f1_row1932_col0\" class=\"data row1932 col0\" >352</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1933\" class=\"row_heading level0 row1933\" >5c15e084b4c0703cee197496f99deb8509238877</th>\n                        <td id=\"T_015f1_row1933_col0\" class=\"data row1933 col0\" >351</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1934\" class=\"row_heading level0 row1934\" >358dc9545d5faa51c88d04edf8c902068e13b106</th>\n                        <td id=\"T_015f1_row1934_col0\" class=\"data row1934 col0\" >351</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1935\" class=\"row_heading level0 row1935\" >1007e8c7bed6aab6ae1340ebca3fee2fc44075a2</th>\n                        <td id=\"T_015f1_row1935_col0\" class=\"data row1935 col0\" >349</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1936\" class=\"row_heading level0 row1936\" >5aec0872dd4f43d0eaa0c2ee05f1a1b546f3f768</th>\n                        <td id=\"T_015f1_row1936_col0\" class=\"data row1936 col0\" >349</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1937\" class=\"row_heading level0 row1937\" >64618ec7c91c757e372ad7e03f74411bcf7119ea</th>\n                        <td id=\"T_015f1_row1937_col0\" class=\"data row1937 col0\" >348</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1938\" class=\"row_heading level0 row1938\" >e51609a9da0eaab22b6b62c715058aa1a5e2cc1c</th>\n                        <td id=\"T_015f1_row1938_col0\" class=\"data row1938 col0\" >348</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1939\" class=\"row_heading level0 row1939\" >c87c9fe93ddb4dc25d1d241c87a340ecf5be19f5</th>\n                        <td id=\"T_015f1_row1939_col0\" class=\"data row1939 col0\" >348</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1940\" class=\"row_heading level0 row1940\" >7e162171ea361011fe20068dcca64b600323fb9e</th>\n                        <td id=\"T_015f1_row1940_col0\" class=\"data row1940 col0\" >347</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1941\" class=\"row_heading level0 row1941\" >7ee3cb915872118372fd2382ece23de19fcc4450</th>\n                        <td id=\"T_015f1_row1941_col0\" class=\"data row1941 col0\" >347</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1942\" class=\"row_heading level0 row1942\" >dcd0b8d17d940bc29ba5caed78c1cf5417c9fc60</th>\n                        <td id=\"T_015f1_row1942_col0\" class=\"data row1942 col0\" >347</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1943\" class=\"row_heading level0 row1943\" >9f73a908f94828b64e2d1fbc56902d4cdbee15d6</th>\n                        <td id=\"T_015f1_row1943_col0\" class=\"data row1943 col0\" >346</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1944\" class=\"row_heading level0 row1944\" >fa4eb518e4e118eddde189454a39a28a6c2e31be</th>\n                        <td id=\"T_015f1_row1944_col0\" class=\"data row1944 col0\" >346</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1945\" class=\"row_heading level0 row1945\" >dc4c46287575c45f3e32c022d868d047b485ed4c</th>\n                        <td id=\"T_015f1_row1945_col0\" class=\"data row1945 col0\" >346</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1946\" class=\"row_heading level0 row1946\" >d572950a7319da92833e6548754ca8cd2f4023dc</th>\n                        <td id=\"T_015f1_row1946_col0\" class=\"data row1946 col0\" >345</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1947\" class=\"row_heading level0 row1947\" >2f9c36153f4f5d3f8b064455bdf725a48ef147ea</th>\n                        <td id=\"T_015f1_row1947_col0\" class=\"data row1947 col0\" >345</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1948\" class=\"row_heading level0 row1948\" >9b06c305ac0244275d6f006c09826e010792d151</th>\n                        <td id=\"T_015f1_row1948_col0\" class=\"data row1948 col0\" >345</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1949\" class=\"row_heading level0 row1949\" >3cb3287fb23c5c169edda5ec41a67ce2cdb61129</th>\n                        <td id=\"T_015f1_row1949_col0\" class=\"data row1949 col0\" >344</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1950\" class=\"row_heading level0 row1950\" >419b9d60d21cc70225ca92d8147285a713a5587a</th>\n                        <td id=\"T_015f1_row1950_col0\" class=\"data row1950 col0\" >344</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1951\" class=\"row_heading level0 row1951\" >a58e1edbfda0d4bce826541d11b8c7b3007b3901</th>\n                        <td id=\"T_015f1_row1951_col0\" class=\"data row1951 col0\" >344</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1952\" class=\"row_heading level0 row1952\" >2defc460ea60cd7025d7b20a843175848f0f9569</th>\n                        <td id=\"T_015f1_row1952_col0\" class=\"data row1952 col0\" >344</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1953\" class=\"row_heading level0 row1953\" >4a92bcc3cf0cdb4d531ec140ef5b4d9d0898d7fd</th>\n                        <td id=\"T_015f1_row1953_col0\" class=\"data row1953 col0\" >343</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1954\" class=\"row_heading level0 row1954\" >7f1bc20c9c21d1751f25e2ed5dbfda28e1b2554a</th>\n                        <td id=\"T_015f1_row1954_col0\" class=\"data row1954 col0\" >343</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1955\" class=\"row_heading level0 row1955\" >7d209dd2fd5c2d28a2735bf2eca3f4ae7d064d9c</th>\n                        <td id=\"T_015f1_row1955_col0\" class=\"data row1955 col0\" >343</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1956\" class=\"row_heading level0 row1956\" >e11d52394d583406b765b4f680527f3a5ba49b98</th>\n                        <td id=\"T_015f1_row1956_col0\" class=\"data row1956 col0\" >343</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1957\" class=\"row_heading level0 row1957\" >2ed2e7ff03b520f03de97026028d9aada89dd4ba</th>\n                        <td id=\"T_015f1_row1957_col0\" class=\"data row1957 col0\" >342</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1958\" class=\"row_heading level0 row1958\" >0df5ea55a86bf40b688994f1372d23ca1c7933d6</th>\n                        <td id=\"T_015f1_row1958_col0\" class=\"data row1958 col0\" >340</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1959\" class=\"row_heading level0 row1959\" >51f25e0bc5d5e4778538da15797b8eef5fd619e0</th>\n                        <td id=\"T_015f1_row1959_col0\" class=\"data row1959 col0\" >339</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1960\" class=\"row_heading level0 row1960\" >e98387ca4484d4dc04373056931f899b7e573d47</th>\n                        <td id=\"T_015f1_row1960_col0\" class=\"data row1960 col0\" >339</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1961\" class=\"row_heading level0 row1961\" >a56b9119aeed7d880d403b99fec0d4c58fb7369d</th>\n                        <td id=\"T_015f1_row1961_col0\" class=\"data row1961 col0\" >339</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1962\" class=\"row_heading level0 row1962\" >882e19bc14e7b6b70a3759ee5d25b0255c4c28b6</th>\n                        <td id=\"T_015f1_row1962_col0\" class=\"data row1962 col0\" >339</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1963\" class=\"row_heading level0 row1963\" >9cb1e7c9825cc6ede9c3da0d0c621f3591bf7acc</th>\n                        <td id=\"T_015f1_row1963_col0\" class=\"data row1963 col0\" >338</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1964\" class=\"row_heading level0 row1964\" >0bc456fb06010fcc12a41e7e665be84bf70a9ee1</th>\n                        <td id=\"T_015f1_row1964_col0\" class=\"data row1964 col0\" >337</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1965\" class=\"row_heading level0 row1965\" >2f696f1687b47f79a21c8e4ef5cf67fb30e08c34</th>\n                        <td id=\"T_015f1_row1965_col0\" class=\"data row1965 col0\" >337</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1966\" class=\"row_heading level0 row1966\" >964daadc06f3c6db348bf5cb2751847b702e35ad</th>\n                        <td id=\"T_015f1_row1966_col0\" class=\"data row1966 col0\" >337</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1967\" class=\"row_heading level0 row1967\" >16403cc6b9261c29504df83f10bcbc45cbaa17d3</th>\n                        <td id=\"T_015f1_row1967_col0\" class=\"data row1967 col0\" >337</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1968\" class=\"row_heading level0 row1968\" >e936e4b6d3f2fe66a9ec1d578d78f37c88cec9e6</th>\n                        <td id=\"T_015f1_row1968_col0\" class=\"data row1968 col0\" >336</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1969\" class=\"row_heading level0 row1969\" >6faef832a716552d64e907cd7fe99ebac20b5b11</th>\n                        <td id=\"T_015f1_row1969_col0\" class=\"data row1969 col0\" >336</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1970\" class=\"row_heading level0 row1970\" >92fe6103cda3eb9b2c22032af2979187fda5d1b2</th>\n                        <td id=\"T_015f1_row1970_col0\" class=\"data row1970 col0\" >336</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1971\" class=\"row_heading level0 row1971\" >273627731f0cfe4c92ff83404122ce0e17fb8e2c</th>\n                        <td id=\"T_015f1_row1971_col0\" class=\"data row1971 col0\" >335</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1972\" class=\"row_heading level0 row1972\" >71d97fb3d6f464d4c26fd061732e58398d053b2e</th>\n                        <td id=\"T_015f1_row1972_col0\" class=\"data row1972 col0\" >334</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1973\" class=\"row_heading level0 row1973\" >102a7e8db69f4adf65969c2c4bcc5a54ba288ce3</th>\n                        <td id=\"T_015f1_row1973_col0\" class=\"data row1973 col0\" >334</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1974\" class=\"row_heading level0 row1974\" >2051a84cae057ecd3125bb1b3396d5414baf6aae</th>\n                        <td id=\"T_015f1_row1974_col0\" class=\"data row1974 col0\" >334</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1975\" class=\"row_heading level0 row1975\" >5baf7217c2d6e9596923d5e4349928f50c1a6d40</th>\n                        <td id=\"T_015f1_row1975_col0\" class=\"data row1975 col0\" >334</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1976\" class=\"row_heading level0 row1976\" >ebca0d6788404cc6c687e01ffb6999cd12a76703</th>\n                        <td id=\"T_015f1_row1976_col0\" class=\"data row1976 col0\" >333</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1977\" class=\"row_heading level0 row1977\" >45aeb59d116a946c203fc3d888f18800f5cb5a7f</th>\n                        <td id=\"T_015f1_row1977_col0\" class=\"data row1977 col0\" >332</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1978\" class=\"row_heading level0 row1978\" >eeaaa9c70504e4d1e28f43836ac77f7d2d19437b</th>\n                        <td id=\"T_015f1_row1978_col0\" class=\"data row1978 col0\" >332</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1979\" class=\"row_heading level0 row1979\" >09315b62abff1b2469e4c47e4da8401ddf47bf15</th>\n                        <td id=\"T_015f1_row1979_col0\" class=\"data row1979 col0\" >330</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1980\" class=\"row_heading level0 row1980\" >bdd6478fb395424972fa11df72a5912093cc2a49</th>\n                        <td id=\"T_015f1_row1980_col0\" class=\"data row1980 col0\" >329</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1981\" class=\"row_heading level0 row1981\" >615df2866d97bcb7d68637f9243aaee8983403d5</th>\n                        <td id=\"T_015f1_row1981_col0\" class=\"data row1981 col0\" >329</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1982\" class=\"row_heading level0 row1982\" >b985c2729e612923d9cd232a73771329ac0b645c</th>\n                        <td id=\"T_015f1_row1982_col0\" class=\"data row1982 col0\" >329</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1983\" class=\"row_heading level0 row1983\" >f727cb63d8f2c90b97ecfc72fe07761363c8ac77</th>\n                        <td id=\"T_015f1_row1983_col0\" class=\"data row1983 col0\" >329</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1984\" class=\"row_heading level0 row1984\" >8b59fb25bf867e2b57ba14cb71c386d202d714df</th>\n                        <td id=\"T_015f1_row1984_col0\" class=\"data row1984 col0\" >328</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1985\" class=\"row_heading level0 row1985\" >27c81947e0142bfbb26d608274a399556c7d8a13</th>\n                        <td id=\"T_015f1_row1985_col0\" class=\"data row1985 col0\" >327</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1986\" class=\"row_heading level0 row1986\" >2dbd820f26bf9768a3cf5bcd3ff4d3c56dd807ac</th>\n                        <td id=\"T_015f1_row1986_col0\" class=\"data row1986 col0\" >327</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1987\" class=\"row_heading level0 row1987\" >d95b3970ad0582604dcd77d7f22ad75d6f9cfb3a</th>\n                        <td id=\"T_015f1_row1987_col0\" class=\"data row1987 col0\" >326</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1988\" class=\"row_heading level0 row1988\" >d090480c29bbcafe61fdf7bf491e23c606d3f181</th>\n                        <td id=\"T_015f1_row1988_col0\" class=\"data row1988 col0\" >326</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1989\" class=\"row_heading level0 row1989\" >91e8f7be7277b712c4e152bfadfca4f78860a810</th>\n                        <td id=\"T_015f1_row1989_col0\" class=\"data row1989 col0\" >326</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1990\" class=\"row_heading level0 row1990\" >1f9faa73f489ec1176b8771c8552fc6b3f3e025e</th>\n                        <td id=\"T_015f1_row1990_col0\" class=\"data row1990 col0\" >325</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1991\" class=\"row_heading level0 row1991\" >ccc6cda30fd8e248f0dd5d55acea2e7d43c0ca88</th>\n                        <td id=\"T_015f1_row1991_col0\" class=\"data row1991 col0\" >325</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1992\" class=\"row_heading level0 row1992\" >c7e131bc89fe8d7bdcb6aeb6bb568ac7daa48b51</th>\n                        <td id=\"T_015f1_row1992_col0\" class=\"data row1992 col0\" >325</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1993\" class=\"row_heading level0 row1993\" >d27c47c166d1a203863d48611556c02d7756064d</th>\n                        <td id=\"T_015f1_row1993_col0\" class=\"data row1993 col0\" >325</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1994\" class=\"row_heading level0 row1994\" >b710e05e90e027ac2d0bc5a5fc8fa06d4a2bab2e</th>\n                        <td id=\"T_015f1_row1994_col0\" class=\"data row1994 col0\" >324</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1995\" class=\"row_heading level0 row1995\" >f69b118cf1dacd717919a23bfe8ff82da3bce376</th>\n                        <td id=\"T_015f1_row1995_col0\" class=\"data row1995 col0\" >323</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1996\" class=\"row_heading level0 row1996\" >fd76579680a8142a19e69dcd6c33db61dc0a2444</th>\n                        <td id=\"T_015f1_row1996_col0\" class=\"data row1996 col0\" >323</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1997\" class=\"row_heading level0 row1997\" >f857911baa9f2e7e15ab831802f9fa0aebf96f5a</th>\n                        <td id=\"T_015f1_row1997_col0\" class=\"data row1997 col0\" >323</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1998\" class=\"row_heading level0 row1998\" >6354b76a35f5a08d3ff5f406bd64812d5e1c3a93</th>\n                        <td id=\"T_015f1_row1998_col0\" class=\"data row1998 col0\" >323</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row1999\" class=\"row_heading level0 row1999\" >559b0d766309f14d09f0e6930319918e8c80cc33</th>\n                        <td id=\"T_015f1_row1999_col0\" class=\"data row1999 col0\" >322</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2000\" class=\"row_heading level0 row2000\" >b0cb20d699fb0ff80b0bbcef005807e9cca0c8f8</th>\n                        <td id=\"T_015f1_row2000_col0\" class=\"data row2000 col0\" >322</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2001\" class=\"row_heading level0 row2001\" >44a0a129e95ec0726d17e836059cf8f7565d2cf8</th>\n                        <td id=\"T_015f1_row2001_col0\" class=\"data row2001 col0\" >320</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2002\" class=\"row_heading level0 row2002\" >4f33ab22a49f8b67a4e9310bf89d93eb59c581b9</th>\n                        <td id=\"T_015f1_row2002_col0\" class=\"data row2002 col0\" >320</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2003\" class=\"row_heading level0 row2003\" >679d52371a51ac671a9c86f33cee33fbea4321dd</th>\n                        <td id=\"T_015f1_row2003_col0\" class=\"data row2003 col0\" >320</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2004\" class=\"row_heading level0 row2004\" >da530377ac4a90b345f7d633e5638784c6239452</th>\n                        <td id=\"T_015f1_row2004_col0\" class=\"data row2004 col0\" >320</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2005\" class=\"row_heading level0 row2005\" >8c1c49e6df593e913bfba394d8f0e423dec9ba7b</th>\n                        <td id=\"T_015f1_row2005_col0\" class=\"data row2005 col0\" >320</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2006\" class=\"row_heading level0 row2006\" >a76e37af82afe1ffec14200e581b81a30cfc88f8</th>\n                        <td id=\"T_015f1_row2006_col0\" class=\"data row2006 col0\" >319</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2007\" class=\"row_heading level0 row2007\" >89e4f2bf9644438f2925359e89e5ebcf73c4604f</th>\n                        <td id=\"T_015f1_row2007_col0\" class=\"data row2007 col0\" >319</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2008\" class=\"row_heading level0 row2008\" >321bbd5639b8620e8c0aeb0b5c79350dffcae0e9</th>\n                        <td id=\"T_015f1_row2008_col0\" class=\"data row2008 col0\" >318</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2009\" class=\"row_heading level0 row2009\" >91e28e4dd3af5e9c28a00edf70e733e2cee21085</th>\n                        <td id=\"T_015f1_row2009_col0\" class=\"data row2009 col0\" >318</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2010\" class=\"row_heading level0 row2010\" >2b528df4e3b1a2e78da2642782f1ac62a39d8a22</th>\n                        <td id=\"T_015f1_row2010_col0\" class=\"data row2010 col0\" >318</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2011\" class=\"row_heading level0 row2011\" >b7a760acfc4983a7c8750d51fa28ac026c25ca14</th>\n                        <td id=\"T_015f1_row2011_col0\" class=\"data row2011 col0\" >318</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2012\" class=\"row_heading level0 row2012\" >84c47fac35ab22cce3e29d99206df390fc62bfb9</th>\n                        <td id=\"T_015f1_row2012_col0\" class=\"data row2012 col0\" >318</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2013\" class=\"row_heading level0 row2013\" >b78f1bfdc6ba334a00289c7ab79c4f334f4e501f</th>\n                        <td id=\"T_015f1_row2013_col0\" class=\"data row2013 col0\" >318</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2014\" class=\"row_heading level0 row2014\" >121c8c1f133139f4f7eea677311fc0923432a569</th>\n                        <td id=\"T_015f1_row2014_col0\" class=\"data row2014 col0\" >318</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2015\" class=\"row_heading level0 row2015\" >72299549a846b435ace0ae782e7f7c317261c165</th>\n                        <td id=\"T_015f1_row2015_col0\" class=\"data row2015 col0\" >318</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2016\" class=\"row_heading level0 row2016\" >ff102b88d3012a2c798adee007c4a20172b0ffae</th>\n                        <td id=\"T_015f1_row2016_col0\" class=\"data row2016 col0\" >317</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2017\" class=\"row_heading level0 row2017\" >1360805d87a949d5ebf552668cf0f3ee769294d2</th>\n                        <td id=\"T_015f1_row2017_col0\" class=\"data row2017 col0\" >317</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2018\" class=\"row_heading level0 row2018\" >c7f94fbb65a8c379226cf3f8e5cc96f56565da8a</th>\n                        <td id=\"T_015f1_row2018_col0\" class=\"data row2018 col0\" >316</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2019\" class=\"row_heading level0 row2019\" >12910b96fec36241c0e34758f08a140718960a7f</th>\n                        <td id=\"T_015f1_row2019_col0\" class=\"data row2019 col0\" >316</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2020\" class=\"row_heading level0 row2020\" >e5011ad66342272f1b3b27e9a90fcf2ac0ac3b23</th>\n                        <td id=\"T_015f1_row2020_col0\" class=\"data row2020 col0\" >316</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2021\" class=\"row_heading level0 row2021\" >5ddaf3c1c77efbe8d3cb0edce26407b1f49883d6</th>\n                        <td id=\"T_015f1_row2021_col0\" class=\"data row2021 col0\" >315</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2022\" class=\"row_heading level0 row2022\" >b5185d53dc93ae23296b97699d86624a2d09f68b</th>\n                        <td id=\"T_015f1_row2022_col0\" class=\"data row2022 col0\" >315</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2023\" class=\"row_heading level0 row2023\" >d8b4b0bebc252703de74c2effaf574bc4d6140f0</th>\n                        <td id=\"T_015f1_row2023_col0\" class=\"data row2023 col0\" >315</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2024\" class=\"row_heading level0 row2024\" >b9eb77cbdcdcba8208f7d303b1f6c356853d30fe</th>\n                        <td id=\"T_015f1_row2024_col0\" class=\"data row2024 col0\" >314</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2025\" class=\"row_heading level0 row2025\" >a117ac96662544a01f7fac778029bf99df26ac64</th>\n                        <td id=\"T_015f1_row2025_col0\" class=\"data row2025 col0\" >314</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2026\" class=\"row_heading level0 row2026\" >7ddfd474047be972208b8a8691d3078c6e67f739</th>\n                        <td id=\"T_015f1_row2026_col0\" class=\"data row2026 col0\" >314</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2027\" class=\"row_heading level0 row2027\" >0bcbdfefeeb3a9c372562c0f5d34dad45ae84cca</th>\n                        <td id=\"T_015f1_row2027_col0\" class=\"data row2027 col0\" >313</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2028\" class=\"row_heading level0 row2028\" >ce9e2ebf59e424773fcdbd986f7633306bf03124</th>\n                        <td id=\"T_015f1_row2028_col0\" class=\"data row2028 col0\" >313</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2029\" class=\"row_heading level0 row2029\" >9810564b41b871d13bea32294c58c7879a2a6dab</th>\n                        <td id=\"T_015f1_row2029_col0\" class=\"data row2029 col0\" >313</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2030\" class=\"row_heading level0 row2030\" >306b9577147627ce11373c9578ce2aaf3b7f114a</th>\n                        <td id=\"T_015f1_row2030_col0\" class=\"data row2030 col0\" >312</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2031\" class=\"row_heading level0 row2031\" >ec6dc868804a4881b8c3c498296e31fddfd1d55e</th>\n                        <td id=\"T_015f1_row2031_col0\" class=\"data row2031 col0\" >312</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2032\" class=\"row_heading level0 row2032\" >e320ed6e8a5bb6a5db976c48668f765503516e8b</th>\n                        <td id=\"T_015f1_row2032_col0\" class=\"data row2032 col0\" >312</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2033\" class=\"row_heading level0 row2033\" >3b34220c954f5ef07137302b2ae5a5567cdd30f8</th>\n                        <td id=\"T_015f1_row2033_col0\" class=\"data row2033 col0\" >311</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2034\" class=\"row_heading level0 row2034\" >acdd815b7475ccb1cb7fafaf914fbbd243cac7e6</th>\n                        <td id=\"T_015f1_row2034_col0\" class=\"data row2034 col0\" >311</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2035\" class=\"row_heading level0 row2035\" >87f2c0ace934e82ac9701064345b1baade474b57</th>\n                        <td id=\"T_015f1_row2035_col0\" class=\"data row2035 col0\" >311</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2036\" class=\"row_heading level0 row2036\" >e16bf896ea3de22e5e687bb8a27a47145c74b548</th>\n                        <td id=\"T_015f1_row2036_col0\" class=\"data row2036 col0\" >310</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2037\" class=\"row_heading level0 row2037\" >1c154c8b29f5b6b657ccef4c396e2c926d6482f7</th>\n                        <td id=\"T_015f1_row2037_col0\" class=\"data row2037 col0\" >310</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2038\" class=\"row_heading level0 row2038\" >538e2be333ecd89a58ea88355d1dea7ac9a23469</th>\n                        <td id=\"T_015f1_row2038_col0\" class=\"data row2038 col0\" >310</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2039\" class=\"row_heading level0 row2039\" >174c7dbfa7f9e74513c5452a214126e6e7d7f020</th>\n                        <td id=\"T_015f1_row2039_col0\" class=\"data row2039 col0\" >310</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2040\" class=\"row_heading level0 row2040\" >b0f0b9a33b855bf4fdc654dbd4eb982645d3ae59</th>\n                        <td id=\"T_015f1_row2040_col0\" class=\"data row2040 col0\" >310</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2041\" class=\"row_heading level0 row2041\" >0868350d9edf5a2996f545ae7a0cb07a0481b644</th>\n                        <td id=\"T_015f1_row2041_col0\" class=\"data row2041 col0\" >310</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2042\" class=\"row_heading level0 row2042\" >cfeb321887eff1aa924d74ac713b220267a975cf</th>\n                        <td id=\"T_015f1_row2042_col0\" class=\"data row2042 col0\" >310</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2043\" class=\"row_heading level0 row2043\" >27f1b25ce41562916723426de062465b6e9b84bb</th>\n                        <td id=\"T_015f1_row2043_col0\" class=\"data row2043 col0\" >309</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2044\" class=\"row_heading level0 row2044\" >984b7b4d0e8bcfec82f915804d2a5947ec2e30f7</th>\n                        <td id=\"T_015f1_row2044_col0\" class=\"data row2044 col0\" >309</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2045\" class=\"row_heading level0 row2045\" >ce12d5f5b70dcafba8445b4a9cd0631f07363196</th>\n                        <td id=\"T_015f1_row2045_col0\" class=\"data row2045 col0\" >309</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2046\" class=\"row_heading level0 row2046\" >13452c4523892bfea71e55380f301ed7fef37215</th>\n                        <td id=\"T_015f1_row2046_col0\" class=\"data row2046 col0\" >309</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2047\" class=\"row_heading level0 row2047\" >db85cb1371261046f2b711ac8dcceeb06b7ca724</th>\n                        <td id=\"T_015f1_row2047_col0\" class=\"data row2047 col0\" >309</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2048\" class=\"row_heading level0 row2048\" >cae39a38a556f42ece02b7e8e54f55440710b034</th>\n                        <td id=\"T_015f1_row2048_col0\" class=\"data row2048 col0\" >308</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2049\" class=\"row_heading level0 row2049\" >fa517c3ee7d639468fcfc878a9a95b30ae808ab0</th>\n                        <td id=\"T_015f1_row2049_col0\" class=\"data row2049 col0\" >308</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2050\" class=\"row_heading level0 row2050\" >ae2a68d930d314c1c164485b9ac5ef5beb158290</th>\n                        <td id=\"T_015f1_row2050_col0\" class=\"data row2050 col0\" >307</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2051\" class=\"row_heading level0 row2051\" >f3049bb5d75f9a26ad9c229530258c3fcdf77c56</th>\n                        <td id=\"T_015f1_row2051_col0\" class=\"data row2051 col0\" >306</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2052\" class=\"row_heading level0 row2052\" >735f83c29af134fc7f6857d509009673c3e2a892</th>\n                        <td id=\"T_015f1_row2052_col0\" class=\"data row2052 col0\" >306</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2053\" class=\"row_heading level0 row2053\" >ca7b16dd3dfc38309569d7db7ef2bf1f206c8c12</th>\n                        <td id=\"T_015f1_row2053_col0\" class=\"data row2053 col0\" >306</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2054\" class=\"row_heading level0 row2054\" >034575a3753c10dfad4b0d41d2c264031dfb5a6a</th>\n                        <td id=\"T_015f1_row2054_col0\" class=\"data row2054 col0\" >306</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2055\" class=\"row_heading level0 row2055\" >9157339c3bab994fcfe571b6a1503f64052e06ac</th>\n                        <td id=\"T_015f1_row2055_col0\" class=\"data row2055 col0\" >305</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2056\" class=\"row_heading level0 row2056\" >83d62bfd8d8175612c21a30830bd722372a1ad3a</th>\n                        <td id=\"T_015f1_row2056_col0\" class=\"data row2056 col0\" >304</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2057\" class=\"row_heading level0 row2057\" >c6a07debd4228f3fa32881d7fb10aeb37e62ca00</th>\n                        <td id=\"T_015f1_row2057_col0\" class=\"data row2057 col0\" >304</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2058\" class=\"row_heading level0 row2058\" >c8e7ca5c70ee5271295ff59beefe194394e1a074</th>\n                        <td id=\"T_015f1_row2058_col0\" class=\"data row2058 col0\" >304</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2059\" class=\"row_heading level0 row2059\" >08723f18742bd39eb373008eef7f9db4cea3ae72</th>\n                        <td id=\"T_015f1_row2059_col0\" class=\"data row2059 col0\" >303</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2060\" class=\"row_heading level0 row2060\" >f5755611a581b1712c0f14fb5134bca0c664e25f</th>\n                        <td id=\"T_015f1_row2060_col0\" class=\"data row2060 col0\" >303</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2061\" class=\"row_heading level0 row2061\" >e61caaa8c3fdb13d38648537dc5817826e7b237b</th>\n                        <td id=\"T_015f1_row2061_col0\" class=\"data row2061 col0\" >303</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2062\" class=\"row_heading level0 row2062\" >37f7e47693bdd5ef978e28c35ed6e118babba3d9</th>\n                        <td id=\"T_015f1_row2062_col0\" class=\"data row2062 col0\" >302</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2063\" class=\"row_heading level0 row2063\" >665acaff9ac2bca9a33c322301e133212f502e91</th>\n                        <td id=\"T_015f1_row2063_col0\" class=\"data row2063 col0\" >301</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2064\" class=\"row_heading level0 row2064\" >656ad86d8647d1a3578fb5467490a34a06bae492</th>\n                        <td id=\"T_015f1_row2064_col0\" class=\"data row2064 col0\" >301</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2065\" class=\"row_heading level0 row2065\" >88552d4f76696dd9b7766acea9774d0551f01d75</th>\n                        <td id=\"T_015f1_row2065_col0\" class=\"data row2065 col0\" >301</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2066\" class=\"row_heading level0 row2066\" >371f7726ed96d395d84a6717efc6813ffaddc5a8</th>\n                        <td id=\"T_015f1_row2066_col0\" class=\"data row2066 col0\" >301</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2067\" class=\"row_heading level0 row2067\" >0898917ebe16e197cf23d7ec06e7253bd52607e6</th>\n                        <td id=\"T_015f1_row2067_col0\" class=\"data row2067 col0\" >300</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2068\" class=\"row_heading level0 row2068\" >93be1230aaaa3c8f6394bfd274e6926c82b83f49</th>\n                        <td id=\"T_015f1_row2068_col0\" class=\"data row2068 col0\" >300</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2069\" class=\"row_heading level0 row2069\" >ada97dc5b2687c1208ef138dc5ff6d918965c319</th>\n                        <td id=\"T_015f1_row2069_col0\" class=\"data row2069 col0\" >300</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2070\" class=\"row_heading level0 row2070\" >221d74635ee30fa7dde6fe0a01c20954a1c4c66b</th>\n                        <td id=\"T_015f1_row2070_col0\" class=\"data row2070 col0\" >300</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2071\" class=\"row_heading level0 row2071\" >c6bff68ea6ab09f21cdb51c533bbad5f47daf633</th>\n                        <td id=\"T_015f1_row2071_col0\" class=\"data row2071 col0\" >299</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2072\" class=\"row_heading level0 row2072\" >5d2e42846db827cb6d9719b5d5f60862c3496d40</th>\n                        <td id=\"T_015f1_row2072_col0\" class=\"data row2072 col0\" >299</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2073\" class=\"row_heading level0 row2073\" >d4404df7089246cbc42dead42ee202672a3f0184</th>\n                        <td id=\"T_015f1_row2073_col0\" class=\"data row2073 col0\" >298</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2074\" class=\"row_heading level0 row2074\" >9e6fef2a18b5e751b8f635f0b1caed9102b39c58</th>\n                        <td id=\"T_015f1_row2074_col0\" class=\"data row2074 col0\" >297</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2075\" class=\"row_heading level0 row2075\" >1df77c4ee7212313e2631c457ff982b958f7f64b</th>\n                        <td id=\"T_015f1_row2075_col0\" class=\"data row2075 col0\" >297</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2076\" class=\"row_heading level0 row2076\" >1b1903f04db99a06e6d91044ca91146be8f03ca9</th>\n                        <td id=\"T_015f1_row2076_col0\" class=\"data row2076 col0\" >297</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2077\" class=\"row_heading level0 row2077\" >9d199614d3fb915a79b5161994582b9de8077d55</th>\n                        <td id=\"T_015f1_row2077_col0\" class=\"data row2077 col0\" >296</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2078\" class=\"row_heading level0 row2078\" >93e6d60d631311a7e55c55d87966ffc90ca6a842</th>\n                        <td id=\"T_015f1_row2078_col0\" class=\"data row2078 col0\" >296</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2079\" class=\"row_heading level0 row2079\" >2daa7fde27c0fd44e4a0133c3247be06d3c21c0b</th>\n                        <td id=\"T_015f1_row2079_col0\" class=\"data row2079 col0\" >296</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2080\" class=\"row_heading level0 row2080\" >4dbab9aa5e471ee914e2cb61830c04407d895ef0</th>\n                        <td id=\"T_015f1_row2080_col0\" class=\"data row2080 col0\" >295</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2081\" class=\"row_heading level0 row2081\" >8416702682457007a28939bd154465f75a2e0572</th>\n                        <td id=\"T_015f1_row2081_col0\" class=\"data row2081 col0\" >294</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2082\" class=\"row_heading level0 row2082\" >b8b8a279e3aff71d3db992676a8ad60e75c34747</th>\n                        <td id=\"T_015f1_row2082_col0\" class=\"data row2082 col0\" >294</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2083\" class=\"row_heading level0 row2083\" >46efbd3c6f5ee89a24c1e704e3141bbe4bc0099d</th>\n                        <td id=\"T_015f1_row2083_col0\" class=\"data row2083 col0\" >294</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2084\" class=\"row_heading level0 row2084\" >345d83b0f781b67a5bc07761609fe909b9bfa6bf</th>\n                        <td id=\"T_015f1_row2084_col0\" class=\"data row2084 col0\" >294</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2085\" class=\"row_heading level0 row2085\" >7d0e2a946fecdf88c85a13f10fd1bbfa55c03ce1</th>\n                        <td id=\"T_015f1_row2085_col0\" class=\"data row2085 col0\" >294</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2086\" class=\"row_heading level0 row2086\" >7e793e674e6a70125eb9f1b0954ac20ce2f21472</th>\n                        <td id=\"T_015f1_row2086_col0\" class=\"data row2086 col0\" >294</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2087\" class=\"row_heading level0 row2087\" >9be03b4dda960a100a8ab2ea64201935102416f4</th>\n                        <td id=\"T_015f1_row2087_col0\" class=\"data row2087 col0\" >294</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2088\" class=\"row_heading level0 row2088\" >ab74399a5e36a0a2509e257bb28c9e5224396bf7</th>\n                        <td id=\"T_015f1_row2088_col0\" class=\"data row2088 col0\" >294</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2089\" class=\"row_heading level0 row2089\" >add8b64585688391c11f2e0d1ca9039b70c802e5</th>\n                        <td id=\"T_015f1_row2089_col0\" class=\"data row2089 col0\" >293</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2090\" class=\"row_heading level0 row2090\" >8ba1b247a45d0fbcbfd52b83bd9ce9a3b6b52675</th>\n                        <td id=\"T_015f1_row2090_col0\" class=\"data row2090 col0\" >292</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2091\" class=\"row_heading level0 row2091\" >d280d18ba141611eaf11bcd08f6a1a8a5d5071ac</th>\n                        <td id=\"T_015f1_row2091_col0\" class=\"data row2091 col0\" >292</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2092\" class=\"row_heading level0 row2092\" >9e716ffd84238082386afa4fd72cf4c8b68cbc93</th>\n                        <td id=\"T_015f1_row2092_col0\" class=\"data row2092 col0\" >292</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2093\" class=\"row_heading level0 row2093\" >b55d25918e89d1e8a6eb2de4321296d6bded8164</th>\n                        <td id=\"T_015f1_row2093_col0\" class=\"data row2093 col0\" >290</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2094\" class=\"row_heading level0 row2094\" >f96893f1ef5dc34a0c0f6ba12148803c0ab93901</th>\n                        <td id=\"T_015f1_row2094_col0\" class=\"data row2094 col0\" >290</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2095\" class=\"row_heading level0 row2095\" >094c73b83a4c90cac6506c7029bf65b26f00d45f</th>\n                        <td id=\"T_015f1_row2095_col0\" class=\"data row2095 col0\" >290</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2096\" class=\"row_heading level0 row2096\" >3a6b2bc5f25fcaf92ec3cdfe2cc40889ef2fd6ab</th>\n                        <td id=\"T_015f1_row2096_col0\" class=\"data row2096 col0\" >290</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2097\" class=\"row_heading level0 row2097\" >7c5044bb45062395db654e84933d42cb965e7f80</th>\n                        <td id=\"T_015f1_row2097_col0\" class=\"data row2097 col0\" >289</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2098\" class=\"row_heading level0 row2098\" >c5c090bcee521a85fc9877943ea3dfb53a12df94</th>\n                        <td id=\"T_015f1_row2098_col0\" class=\"data row2098 col0\" >289</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2099\" class=\"row_heading level0 row2099\" >b92ce5b2cb8467de33515f837fb47965b7884338</th>\n                        <td id=\"T_015f1_row2099_col0\" class=\"data row2099 col0\" >288</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2100\" class=\"row_heading level0 row2100\" >07a1c2bd269b25195362ee0349934d18634e3fd4</th>\n                        <td id=\"T_015f1_row2100_col0\" class=\"data row2100 col0\" >287</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2101\" class=\"row_heading level0 row2101\" >4b58f55cbfa698527a4113d11ca8264a308b5c76</th>\n                        <td id=\"T_015f1_row2101_col0\" class=\"data row2101 col0\" >286</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2102\" class=\"row_heading level0 row2102\" >c5de94605289a9fae1869b9c73dde7806c559717</th>\n                        <td id=\"T_015f1_row2102_col0\" class=\"data row2102 col0\" >286</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2103\" class=\"row_heading level0 row2103\" >1ecc96403fcecb9cd822039e96cecb04da723a1c</th>\n                        <td id=\"T_015f1_row2103_col0\" class=\"data row2103 col0\" >284</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2104\" class=\"row_heading level0 row2104\" >30e3b8b6b4e3654dd4799312b01f7e760c476790</th>\n                        <td id=\"T_015f1_row2104_col0\" class=\"data row2104 col0\" >284</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2105\" class=\"row_heading level0 row2105\" >48f5660ffdf0736b1e41d545f6389b0a908510c3</th>\n                        <td id=\"T_015f1_row2105_col0\" class=\"data row2105 col0\" >283</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2106\" class=\"row_heading level0 row2106\" >26f99f7138f8721213e77ac21d013d4fa1716ef0</th>\n                        <td id=\"T_015f1_row2106_col0\" class=\"data row2106 col0\" >283</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2107\" class=\"row_heading level0 row2107\" >c982e0887e3760fad8ce6bbf74b40ff705cb5f3b</th>\n                        <td id=\"T_015f1_row2107_col0\" class=\"data row2107 col0\" >283</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2108\" class=\"row_heading level0 row2108\" >a6d390b1161a75bac587bd3ad7b75c743e975abf</th>\n                        <td id=\"T_015f1_row2108_col0\" class=\"data row2108 col0\" >283</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2109\" class=\"row_heading level0 row2109\" >5e3f73f63690290ee7ef4d3ba0d273026d8c6b83</th>\n                        <td id=\"T_015f1_row2109_col0\" class=\"data row2109 col0\" >282</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2110\" class=\"row_heading level0 row2110\" >b0cb9376f8cd87d3e49443e6c7464fe86ea900e3</th>\n                        <td id=\"T_015f1_row2110_col0\" class=\"data row2110 col0\" >282</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2111\" class=\"row_heading level0 row2111\" >9679a11c885270accbfc4d94600e2d6df20254b9</th>\n                        <td id=\"T_015f1_row2111_col0\" class=\"data row2111 col0\" >282</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2112\" class=\"row_heading level0 row2112\" >7e21c5e49e939138cc0485ec3dff9450b86ceba6</th>\n                        <td id=\"T_015f1_row2112_col0\" class=\"data row2112 col0\" >282</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2113\" class=\"row_heading level0 row2113\" >395e854616846a806ebcd99e991871520f337153</th>\n                        <td id=\"T_015f1_row2113_col0\" class=\"data row2113 col0\" >281</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2114\" class=\"row_heading level0 row2114\" >17e7877079cda203d480fbc25932aa1f35679fed</th>\n                        <td id=\"T_015f1_row2114_col0\" class=\"data row2114 col0\" >281</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2115\" class=\"row_heading level0 row2115\" >ad9070a00c25e44b2c0e2e495818c7b43e50828e</th>\n                        <td id=\"T_015f1_row2115_col0\" class=\"data row2115 col0\" >281</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2116\" class=\"row_heading level0 row2116\" >53f74f21afa39f11b480cc60c740c05026cc40fb</th>\n                        <td id=\"T_015f1_row2116_col0\" class=\"data row2116 col0\" >280</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2117\" class=\"row_heading level0 row2117\" >a0ceea2d2a0a7339ec84b2799b70dddfe7c5df78</th>\n                        <td id=\"T_015f1_row2117_col0\" class=\"data row2117 col0\" >280</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2118\" class=\"row_heading level0 row2118\" >ee1e8b53b1f1d0723d207d484347785615e2b8b4</th>\n                        <td id=\"T_015f1_row2118_col0\" class=\"data row2118 col0\" >279</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2119\" class=\"row_heading level0 row2119\" >c39db45bea727ee38d2b78b3b05b1e0d1e70865d</th>\n                        <td id=\"T_015f1_row2119_col0\" class=\"data row2119 col0\" >279</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2120\" class=\"row_heading level0 row2120\" >78d064438dd45c99ead266664c5f032a620d6594</th>\n                        <td id=\"T_015f1_row2120_col0\" class=\"data row2120 col0\" >279</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2121\" class=\"row_heading level0 row2121\" >ed61d67ab40541ebb671536a7ea20125119cb964</th>\n                        <td id=\"T_015f1_row2121_col0\" class=\"data row2121 col0\" >279</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2122\" class=\"row_heading level0 row2122\" >246e4e0360dcd4347d58330786b5c213cd6d18e4</th>\n                        <td id=\"T_015f1_row2122_col0\" class=\"data row2122 col0\" >278</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2123\" class=\"row_heading level0 row2123\" >cefdb0c230cb725c985a620e6bbe9199f083518c</th>\n                        <td id=\"T_015f1_row2123_col0\" class=\"data row2123 col0\" >277</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2124\" class=\"row_heading level0 row2124\" >e57024faa1bfe6de5d71e1b779bff11e72e97e1d</th>\n                        <td id=\"T_015f1_row2124_col0\" class=\"data row2124 col0\" >277</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2125\" class=\"row_heading level0 row2125\" >e4cd5eb4e4cf0ca260c34b67e28ec35f3c2f7c94</th>\n                        <td id=\"T_015f1_row2125_col0\" class=\"data row2125 col0\" >277</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2126\" class=\"row_heading level0 row2126\" >e315aa306303cc8df91c60dcbd80145ef496b649</th>\n                        <td id=\"T_015f1_row2126_col0\" class=\"data row2126 col0\" >277</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2127\" class=\"row_heading level0 row2127\" >3a716511a6528d7b090987b04cf3ba56c3ec9de2</th>\n                        <td id=\"T_015f1_row2127_col0\" class=\"data row2127 col0\" >277</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2128\" class=\"row_heading level0 row2128\" >5801b845fce3d8a846cc6a498f027295fb18f87f</th>\n                        <td id=\"T_015f1_row2128_col0\" class=\"data row2128 col0\" >277</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2129\" class=\"row_heading level0 row2129\" >25ad89cae93a9b0ed486615d0b181f7e81e20a9b</th>\n                        <td id=\"T_015f1_row2129_col0\" class=\"data row2129 col0\" >276</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2130\" class=\"row_heading level0 row2130\" >6304a0d07e6d4686f22281e0b54ce12bb0ac09ba</th>\n                        <td id=\"T_015f1_row2130_col0\" class=\"data row2130 col0\" >275</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2131\" class=\"row_heading level0 row2131\" >6291c2f2c144912b0254e09b32d4c874154a6f0a</th>\n                        <td id=\"T_015f1_row2131_col0\" class=\"data row2131 col0\" >275</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2132\" class=\"row_heading level0 row2132\" >6c10350ae54364df7582f1703da4a36212d3e39b</th>\n                        <td id=\"T_015f1_row2132_col0\" class=\"data row2132 col0\" >275</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2133\" class=\"row_heading level0 row2133\" >569878b7f574a738d49e365f45c49f44b81936f2</th>\n                        <td id=\"T_015f1_row2133_col0\" class=\"data row2133 col0\" >272</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2134\" class=\"row_heading level0 row2134\" >24f7fe5fa290f803c49bac656c57df514b180b4b</th>\n                        <td id=\"T_015f1_row2134_col0\" class=\"data row2134 col0\" >272</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2135\" class=\"row_heading level0 row2135\" >91dbf79e2374c7fc45408c769a7ee731cfb3e494</th>\n                        <td id=\"T_015f1_row2135_col0\" class=\"data row2135 col0\" >271</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2136\" class=\"row_heading level0 row2136\" >b5f4035557195829d4be6b54622343c1a628c710</th>\n                        <td id=\"T_015f1_row2136_col0\" class=\"data row2136 col0\" >271</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2137\" class=\"row_heading level0 row2137\" >914cb2b0c63064164d4b8fd821bbde4a164a2a6a</th>\n                        <td id=\"T_015f1_row2137_col0\" class=\"data row2137 col0\" >271</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2138\" class=\"row_heading level0 row2138\" >ed28171f6544a4eccc6d3f418675cc343ed77cee</th>\n                        <td id=\"T_015f1_row2138_col0\" class=\"data row2138 col0\" >271</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2139\" class=\"row_heading level0 row2139\" >d01a784df791651ecedaea44ccc8c1a587a5c29c</th>\n                        <td id=\"T_015f1_row2139_col0\" class=\"data row2139 col0\" >271</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2140\" class=\"row_heading level0 row2140\" >bb93b67d5f46ff371ae46fb44c427c015be065b2</th>\n                        <td id=\"T_015f1_row2140_col0\" class=\"data row2140 col0\" >271</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2141\" class=\"row_heading level0 row2141\" >ebab1d4c8a0e43283667eeb7e9e7f1cad663b5cd</th>\n                        <td id=\"T_015f1_row2141_col0\" class=\"data row2141 col0\" >271</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2142\" class=\"row_heading level0 row2142\" >3067d5e744600a527f9385dfc89684bd76ea58ad</th>\n                        <td id=\"T_015f1_row2142_col0\" class=\"data row2142 col0\" >270</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2143\" class=\"row_heading level0 row2143\" >ce0718d609ae0f06031490c462fff571210d0d0c</th>\n                        <td id=\"T_015f1_row2143_col0\" class=\"data row2143 col0\" >270</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2144\" class=\"row_heading level0 row2144\" >e62e836b877d4189e890fcc9d0d4d7d09964933a</th>\n                        <td id=\"T_015f1_row2144_col0\" class=\"data row2144 col0\" >270</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2145\" class=\"row_heading level0 row2145\" >cbb9a140e975887a4df31db1dec7d4b518569931</th>\n                        <td id=\"T_015f1_row2145_col0\" class=\"data row2145 col0\" >269</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2146\" class=\"row_heading level0 row2146\" >01a39206e3987e6708631b62b70ecfd55ab05a7d</th>\n                        <td id=\"T_015f1_row2146_col0\" class=\"data row2146 col0\" >269</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2147\" class=\"row_heading level0 row2147\" >b820f1145ec9eef62063d28e23e71390f5c7c5d1</th>\n                        <td id=\"T_015f1_row2147_col0\" class=\"data row2147 col0\" >269</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2148\" class=\"row_heading level0 row2148\" >f402ccdd16b886038ff665ccda17b7e857b1c7fd</th>\n                        <td id=\"T_015f1_row2148_col0\" class=\"data row2148 col0\" >269</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2149\" class=\"row_heading level0 row2149\" >98c60074498d5113d66cb904dd6b45c65ce53753</th>\n                        <td id=\"T_015f1_row2149_col0\" class=\"data row2149 col0\" >269</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2150\" class=\"row_heading level0 row2150\" >c8f3983a40e3c462cdfd155f3d0c77868a717ffd</th>\n                        <td id=\"T_015f1_row2150_col0\" class=\"data row2150 col0\" >269</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2151\" class=\"row_heading level0 row2151\" >040a8e2ac5caa347b49962ea3b6530767259be39</th>\n                        <td id=\"T_015f1_row2151_col0\" class=\"data row2151 col0\" >268</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2152\" class=\"row_heading level0 row2152\" >563c56cbd1eba74106d9d4cf3adef19ddd574858</th>\n                        <td id=\"T_015f1_row2152_col0\" class=\"data row2152 col0\" >268</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2153\" class=\"row_heading level0 row2153\" >32a1feafe5029aaa6f9d8758d00a3e95aa4aa360</th>\n                        <td id=\"T_015f1_row2153_col0\" class=\"data row2153 col0\" >268</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2154\" class=\"row_heading level0 row2154\" >61fa12bbe853bca6b12e049fc3c939233ad05215</th>\n                        <td id=\"T_015f1_row2154_col0\" class=\"data row2154 col0\" >268</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2155\" class=\"row_heading level0 row2155\" >9b2dde8468c6887960858c235e951270eaef6cdc</th>\n                        <td id=\"T_015f1_row2155_col0\" class=\"data row2155 col0\" >267</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2156\" class=\"row_heading level0 row2156\" >2853111b1aa4b4fa65f990a807bdac9ad39234cd</th>\n                        <td id=\"T_015f1_row2156_col0\" class=\"data row2156 col0\" >266</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2157\" class=\"row_heading level0 row2157\" >e555763b0dc7f91660f3dc7c3f098bae1b7f6ccc</th>\n                        <td id=\"T_015f1_row2157_col0\" class=\"data row2157 col0\" >266</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2158\" class=\"row_heading level0 row2158\" >3c41e66065dd8e17e47aeca20ff0cf1b3d1441b4</th>\n                        <td id=\"T_015f1_row2158_col0\" class=\"data row2158 col0\" >265</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2159\" class=\"row_heading level0 row2159\" >383f348fe771af67880179d3b242e936e2bc06d5</th>\n                        <td id=\"T_015f1_row2159_col0\" class=\"data row2159 col0\" >265</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2160\" class=\"row_heading level0 row2160\" >dc024672db393fc878f2b7f2e21201d4bf2b77db</th>\n                        <td id=\"T_015f1_row2160_col0\" class=\"data row2160 col0\" >265</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2161\" class=\"row_heading level0 row2161\" >2c34db0b09c530e483d57365ab55d541634e7ee1</th>\n                        <td id=\"T_015f1_row2161_col0\" class=\"data row2161 col0\" >265</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2162\" class=\"row_heading level0 row2162\" >bbc48c03952a73029eb5737dea25c734a6aea577</th>\n                        <td id=\"T_015f1_row2162_col0\" class=\"data row2162 col0\" >264</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2163\" class=\"row_heading level0 row2163\" >ac09a3e1a599cbe13564f403a3d902e5dd3cced7</th>\n                        <td id=\"T_015f1_row2163_col0\" class=\"data row2163 col0\" >264</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2164\" class=\"row_heading level0 row2164\" >ef8bfd1510bd978d5e1e306b1bdeb3691be69a9e</th>\n                        <td id=\"T_015f1_row2164_col0\" class=\"data row2164 col0\" >264</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2165\" class=\"row_heading level0 row2165\" >fe3461438b7a21c85a42ffd76030ece52e11dd7d</th>\n                        <td id=\"T_015f1_row2165_col0\" class=\"data row2165 col0\" >263</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2166\" class=\"row_heading level0 row2166\" >e4c2e149428f5e2cc88a8e0642eb26e15614c6af</th>\n                        <td id=\"T_015f1_row2166_col0\" class=\"data row2166 col0\" >263</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2167\" class=\"row_heading level0 row2167\" >486ae274e3262333a2dc4beb91149ccc374794d3</th>\n                        <td id=\"T_015f1_row2167_col0\" class=\"data row2167 col0\" >262</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2168\" class=\"row_heading level0 row2168\" >dec088bc33cc41aece2c160b3f0460d99374931b</th>\n                        <td id=\"T_015f1_row2168_col0\" class=\"data row2168 col0\" >261</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2169\" class=\"row_heading level0 row2169\" >4f7a516f64e951a30c7fc12fcd9d7fec5fb60728</th>\n                        <td id=\"T_015f1_row2169_col0\" class=\"data row2169 col0\" >261</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2170\" class=\"row_heading level0 row2170\" >3e79cd042c0a01f152fdb78e6b513926fb999000</th>\n                        <td id=\"T_015f1_row2170_col0\" class=\"data row2170 col0\" >261</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2171\" class=\"row_heading level0 row2171\" >251db8e17c32d7583d547423ddcfcf443c1a7300</th>\n                        <td id=\"T_015f1_row2171_col0\" class=\"data row2171 col0\" >260</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2172\" class=\"row_heading level0 row2172\" >d179e02cb2112a223cab97eacdd17859f4c29511</th>\n                        <td id=\"T_015f1_row2172_col0\" class=\"data row2172 col0\" >260</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2173\" class=\"row_heading level0 row2173\" >65fce494663f11701a62fe604e079ea8f584e96c</th>\n                        <td id=\"T_015f1_row2173_col0\" class=\"data row2173 col0\" >260</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2174\" class=\"row_heading level0 row2174\" >12f40bbe5cffaf37e3225bdeb8a8526b76e7d59f</th>\n                        <td id=\"T_015f1_row2174_col0\" class=\"data row2174 col0\" >259</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2175\" class=\"row_heading level0 row2175\" >15670d458f99060c96a3b5bd623d9cd2782a3c0e</th>\n                        <td id=\"T_015f1_row2175_col0\" class=\"data row2175 col0\" >259</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2176\" class=\"row_heading level0 row2176\" >55a27ad26a050e8a4cb9a262299f6feae12f73fe</th>\n                        <td id=\"T_015f1_row2176_col0\" class=\"data row2176 col0\" >258</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2177\" class=\"row_heading level0 row2177\" >277d6263832be854b2f36bb1cdd87c78108ab9bf</th>\n                        <td id=\"T_015f1_row2177_col0\" class=\"data row2177 col0\" >258</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2178\" class=\"row_heading level0 row2178\" >9ad1d8c3a29b04ff542c90d2f6e05eaeddc42a97</th>\n                        <td id=\"T_015f1_row2178_col0\" class=\"data row2178 col0\" >258</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2179\" class=\"row_heading level0 row2179\" >3688b1d72f939347de1233defbb4f7ae706eb5ef</th>\n                        <td id=\"T_015f1_row2179_col0\" class=\"data row2179 col0\" >258</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2180\" class=\"row_heading level0 row2180\" >5e5cea93806a79847d5f71cf563b4f9d56057709</th>\n                        <td id=\"T_015f1_row2180_col0\" class=\"data row2180 col0\" >258</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2181\" class=\"row_heading level0 row2181\" >34745e1c16e50d6b9d0f9977d22b77be18361bb7</th>\n                        <td id=\"T_015f1_row2181_col0\" class=\"data row2181 col0\" >257</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2182\" class=\"row_heading level0 row2182\" >9c9888e3141e643b6beaafa3079c73478cab5deb</th>\n                        <td id=\"T_015f1_row2182_col0\" class=\"data row2182 col0\" >256</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2183\" class=\"row_heading level0 row2183\" >28661116bcd1700b1d523672949f218ef4d4ffc7</th>\n                        <td id=\"T_015f1_row2183_col0\" class=\"data row2183 col0\" >256</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2184\" class=\"row_heading level0 row2184\" >883f6fb7e5ed079e2ebb46f59d089747862879f6</th>\n                        <td id=\"T_015f1_row2184_col0\" class=\"data row2184 col0\" >255</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2185\" class=\"row_heading level0 row2185\" >3407b9cef5a80426bdfacee1656b4b4fd2a4300e</th>\n                        <td id=\"T_015f1_row2185_col0\" class=\"data row2185 col0\" >255</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2186\" class=\"row_heading level0 row2186\" >319eaac2f9b4a0fcdcbb9b53842a04f9917e5058</th>\n                        <td id=\"T_015f1_row2186_col0\" class=\"data row2186 col0\" >255</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2187\" class=\"row_heading level0 row2187\" >b65ea6678877bde11b5216a02382cc95e2162d42</th>\n                        <td id=\"T_015f1_row2187_col0\" class=\"data row2187 col0\" >255</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2188\" class=\"row_heading level0 row2188\" >baf793b46eddbf0e62fd203631280d258247f7b3</th>\n                        <td id=\"T_015f1_row2188_col0\" class=\"data row2188 col0\" >254</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2189\" class=\"row_heading level0 row2189\" >b47842b227a3b3968f7e7458128da6be178797ee</th>\n                        <td id=\"T_015f1_row2189_col0\" class=\"data row2189 col0\" >254</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2190\" class=\"row_heading level0 row2190\" >188f8061689a61464e746956750ab3a23382eea6</th>\n                        <td id=\"T_015f1_row2190_col0\" class=\"data row2190 col0\" >254</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2191\" class=\"row_heading level0 row2191\" >01c325eeb378ebe2ab3212fe86bf0060f71ced22</th>\n                        <td id=\"T_015f1_row2191_col0\" class=\"data row2191 col0\" >254</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2192\" class=\"row_heading level0 row2192\" >a983e886878e7deadba290b2215042cd33eb29ef</th>\n                        <td id=\"T_015f1_row2192_col0\" class=\"data row2192 col0\" >254</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2193\" class=\"row_heading level0 row2193\" >b3d862416ca21ec29ae77e762d4e897935bac7e5</th>\n                        <td id=\"T_015f1_row2193_col0\" class=\"data row2193 col0\" >253</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2194\" class=\"row_heading level0 row2194\" >83b8c78887dfb6dc11240365a8840dab0de65a5b</th>\n                        <td id=\"T_015f1_row2194_col0\" class=\"data row2194 col0\" >253</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2195\" class=\"row_heading level0 row2195\" >c3defd9c83bb20008960205b964ba661a4790166</th>\n                        <td id=\"T_015f1_row2195_col0\" class=\"data row2195 col0\" >253</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2196\" class=\"row_heading level0 row2196\" >03f59b0a760c9754fe185295c7460a667a8749cd</th>\n                        <td id=\"T_015f1_row2196_col0\" class=\"data row2196 col0\" >252</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2197\" class=\"row_heading level0 row2197\" >14ad50817e780cd17cec0cace1b7dc7b743a77af</th>\n                        <td id=\"T_015f1_row2197_col0\" class=\"data row2197 col0\" >252</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2198\" class=\"row_heading level0 row2198\" >1910de6e5d5b866c68a1d477a54f2fe38cf91430</th>\n                        <td id=\"T_015f1_row2198_col0\" class=\"data row2198 col0\" >252</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2199\" class=\"row_heading level0 row2199\" >6d99fba05b779d8c6836f951f442fd2dbc002dc3</th>\n                        <td id=\"T_015f1_row2199_col0\" class=\"data row2199 col0\" >252</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2200\" class=\"row_heading level0 row2200\" >1361c10ea1ae6baffefd0eba3bfd935076ecb3e6</th>\n                        <td id=\"T_015f1_row2200_col0\" class=\"data row2200 col0\" >252</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2201\" class=\"row_heading level0 row2201\" >d3f1271c54b887004e5e6233290db6b010b56aba</th>\n                        <td id=\"T_015f1_row2201_col0\" class=\"data row2201 col0\" >252</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2202\" class=\"row_heading level0 row2202\" >1113bb014a6d9aa057590ddd35e95ebfd26e571b</th>\n                        <td id=\"T_015f1_row2202_col0\" class=\"data row2202 col0\" >252</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2203\" class=\"row_heading level0 row2203\" >787979f83e91079e222f1daa5d58fde3fbd87aa6</th>\n                        <td id=\"T_015f1_row2203_col0\" class=\"data row2203 col0\" >251</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2204\" class=\"row_heading level0 row2204\" >1feb85b72249ff094beda60a0d92078195fc00c1</th>\n                        <td id=\"T_015f1_row2204_col0\" class=\"data row2204 col0\" >251</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2205\" class=\"row_heading level0 row2205\" >15c57232c800c9a2988dc0422e459beedbe367bb</th>\n                        <td id=\"T_015f1_row2205_col0\" class=\"data row2205 col0\" >250</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2206\" class=\"row_heading level0 row2206\" >f4dd7b926bc56ba056158ffe39a2a3578af29223</th>\n                        <td id=\"T_015f1_row2206_col0\" class=\"data row2206 col0\" >249</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2207\" class=\"row_heading level0 row2207\" >d8eb95fc1926425035eacea319ba69c080f5c5c1</th>\n                        <td id=\"T_015f1_row2207_col0\" class=\"data row2207 col0\" >249</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2208\" class=\"row_heading level0 row2208\" >4fc8d579d18834cc4f0814abb92443c2ddf4af24</th>\n                        <td id=\"T_015f1_row2208_col0\" class=\"data row2208 col0\" >249</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2209\" class=\"row_heading level0 row2209\" >4cc66a64a543846fac1aee3852cb0efbc9527faa</th>\n                        <td id=\"T_015f1_row2209_col0\" class=\"data row2209 col0\" >248</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2210\" class=\"row_heading level0 row2210\" >009a3ed672be7bd1b9c4437b43a53296771af098</th>\n                        <td id=\"T_015f1_row2210_col0\" class=\"data row2210 col0\" >248</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2211\" class=\"row_heading level0 row2211\" >d6a858af60bc6f39894eb9118b1aa44f8cfd6be2</th>\n                        <td id=\"T_015f1_row2211_col0\" class=\"data row2211 col0\" >247</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2212\" class=\"row_heading level0 row2212\" >7239d04860a309b7f7d1c4eca66ca58ce940c611</th>\n                        <td id=\"T_015f1_row2212_col0\" class=\"data row2212 col0\" >247</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2213\" class=\"row_heading level0 row2213\" >fe45b1591886927c2e9165618b4850019fd2606f</th>\n                        <td id=\"T_015f1_row2213_col0\" class=\"data row2213 col0\" >247</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2214\" class=\"row_heading level0 row2214\" >150f5dfc10112d951802006d62050349dea5a23a</th>\n                        <td id=\"T_015f1_row2214_col0\" class=\"data row2214 col0\" >247</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2215\" class=\"row_heading level0 row2215\" >fd49231cf4345ad6354cad9942cf83ad3261b35b</th>\n                        <td id=\"T_015f1_row2215_col0\" class=\"data row2215 col0\" >246</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2216\" class=\"row_heading level0 row2216\" >a2e30b6c82d8f6c62ef4c6b9a6c9b8355e281e73</th>\n                        <td id=\"T_015f1_row2216_col0\" class=\"data row2216 col0\" >246</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2217\" class=\"row_heading level0 row2217\" >846bf4c9616e1a9dba29e67d754bdbfcc60ba813</th>\n                        <td id=\"T_015f1_row2217_col0\" class=\"data row2217 col0\" >246</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2218\" class=\"row_heading level0 row2218\" >f7c79ec5c51d53147a36102e393deb39a0295710</th>\n                        <td id=\"T_015f1_row2218_col0\" class=\"data row2218 col0\" >246</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2219\" class=\"row_heading level0 row2219\" >215392414424d604bb113570ebd2f9da75b4761e</th>\n                        <td id=\"T_015f1_row2219_col0\" class=\"data row2219 col0\" >246</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2220\" class=\"row_heading level0 row2220\" >f16fa04b2b44bbceece432dfbebdb14ceff18b15</th>\n                        <td id=\"T_015f1_row2220_col0\" class=\"data row2220 col0\" >246</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2221\" class=\"row_heading level0 row2221\" >eeeaa7a4b8df9d3087ecb192d48075f18f29debb</th>\n                        <td id=\"T_015f1_row2221_col0\" class=\"data row2221 col0\" >245</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2222\" class=\"row_heading level0 row2222\" >edbe427e90919b00d712ceb8c1ee8e92a54051e2</th>\n                        <td id=\"T_015f1_row2222_col0\" class=\"data row2222 col0\" >244</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2223\" class=\"row_heading level0 row2223\" >b843880fe4681df2b416b9d7bca3daaa762edde7</th>\n                        <td id=\"T_015f1_row2223_col0\" class=\"data row2223 col0\" >243</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2224\" class=\"row_heading level0 row2224\" >d633d158ddaf575b5c60caeedebcd2b17bcaa3df</th>\n                        <td id=\"T_015f1_row2224_col0\" class=\"data row2224 col0\" >243</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2225\" class=\"row_heading level0 row2225\" >d7043da3f6998e945f44981e6f5086bda97a525b</th>\n                        <td id=\"T_015f1_row2225_col0\" class=\"data row2225 col0\" >243</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2226\" class=\"row_heading level0 row2226\" >a563b02dd22fd7fd931c6c50a68ae1ab6d44a5dd</th>\n                        <td id=\"T_015f1_row2226_col0\" class=\"data row2226 col0\" >243</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2227\" class=\"row_heading level0 row2227\" >7fbf0fd7c1c3b45e23ef33d26842f95ca82aaeec</th>\n                        <td id=\"T_015f1_row2227_col0\" class=\"data row2227 col0\" >242</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2228\" class=\"row_heading level0 row2228\" >8d41f301dcfa8ebdc1ba66f3cd392b9367dc7603</th>\n                        <td id=\"T_015f1_row2228_col0\" class=\"data row2228 col0\" >241</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2229\" class=\"row_heading level0 row2229\" >41c75f30f1a71fd8078118706e2d247a6f9e538e</th>\n                        <td id=\"T_015f1_row2229_col0\" class=\"data row2229 col0\" >241</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2230\" class=\"row_heading level0 row2230\" >1c52ffff671209bb2da2468bd6a58bc2d6fcff6b</th>\n                        <td id=\"T_015f1_row2230_col0\" class=\"data row2230 col0\" >240</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2231\" class=\"row_heading level0 row2231\" >8646f853a396d42d2fbd75a353d6916c5a53d834</th>\n                        <td id=\"T_015f1_row2231_col0\" class=\"data row2231 col0\" >237</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2232\" class=\"row_heading level0 row2232\" >f75618342e520ea532904a84c251b375cc6fe6cf</th>\n                        <td id=\"T_015f1_row2232_col0\" class=\"data row2232 col0\" >237</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2233\" class=\"row_heading level0 row2233\" >1e66e020287f7f7b385167a935344b5cd36d4136</th>\n                        <td id=\"T_015f1_row2233_col0\" class=\"data row2233 col0\" >236</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2234\" class=\"row_heading level0 row2234\" >93fc8b00360fa8c7696f1387a12d84058b59c284</th>\n                        <td id=\"T_015f1_row2234_col0\" class=\"data row2234 col0\" >236</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2235\" class=\"row_heading level0 row2235\" >e45464bcb96fe0ba1573d057553be653e464a022</th>\n                        <td id=\"T_015f1_row2235_col0\" class=\"data row2235 col0\" >236</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2236\" class=\"row_heading level0 row2236\" >6d59e4e6cf26734ec08aea1c2fb278f7f1c3036c</th>\n                        <td id=\"T_015f1_row2236_col0\" class=\"data row2236 col0\" >236</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2237\" class=\"row_heading level0 row2237\" >0924912e618e760ea4917e31815501f676f4fa2c</th>\n                        <td id=\"T_015f1_row2237_col0\" class=\"data row2237 col0\" >235</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2238\" class=\"row_heading level0 row2238\" >df5e335dcd81b71594aab4681da101557dd8be23</th>\n                        <td id=\"T_015f1_row2238_col0\" class=\"data row2238 col0\" >235</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2239\" class=\"row_heading level0 row2239\" >f129896a9b96c1da410df89a44c3f444895ba10f</th>\n                        <td id=\"T_015f1_row2239_col0\" class=\"data row2239 col0\" >235</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2240\" class=\"row_heading level0 row2240\" >1f5c5bbecb8a7f20bffd1d1d9541df42b7de77eb</th>\n                        <td id=\"T_015f1_row2240_col0\" class=\"data row2240 col0\" >235</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2241\" class=\"row_heading level0 row2241\" >b2286bb867db195ede1b00dd8e9a489a58c93a8f</th>\n                        <td id=\"T_015f1_row2241_col0\" class=\"data row2241 col0\" >235</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2242\" class=\"row_heading level0 row2242\" >797cef85765690bf741a2a455fe141620cfc10a0</th>\n                        <td id=\"T_015f1_row2242_col0\" class=\"data row2242 col0\" >234</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2243\" class=\"row_heading level0 row2243\" >d8bef7055a56e79e1288f3ab4345256fb5e88672</th>\n                        <td id=\"T_015f1_row2243_col0\" class=\"data row2243 col0\" >234</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2244\" class=\"row_heading level0 row2244\" >7e642dee5535c87ae5d65d225ee5dab01769b04c</th>\n                        <td id=\"T_015f1_row2244_col0\" class=\"data row2244 col0\" >233</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2245\" class=\"row_heading level0 row2245\" >3b9ac7d40ec22f6f49c5e5b0d8d21bc35ac13466</th>\n                        <td id=\"T_015f1_row2245_col0\" class=\"data row2245 col0\" >233</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2246\" class=\"row_heading level0 row2246\" >4f1d41f64a63fec06bad5178e74f03b8dee8f8c3</th>\n                        <td id=\"T_015f1_row2246_col0\" class=\"data row2246 col0\" >231</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2247\" class=\"row_heading level0 row2247\" >62a4c59aa4068905f337aa1d1c947d7bc816938f</th>\n                        <td id=\"T_015f1_row2247_col0\" class=\"data row2247 col0\" >231</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2248\" class=\"row_heading level0 row2248\" >78a1172e400a12da1e724161affaa4d4293eba17</th>\n                        <td id=\"T_015f1_row2248_col0\" class=\"data row2248 col0\" >230</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2249\" class=\"row_heading level0 row2249\" >86a085e6d6e8cda4cc14927f4ddc79981e8dfb56</th>\n                        <td id=\"T_015f1_row2249_col0\" class=\"data row2249 col0\" >230</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2250\" class=\"row_heading level0 row2250\" >99205a7c6d960ba33079d8c9b63c09ff086d644e</th>\n                        <td id=\"T_015f1_row2250_col0\" class=\"data row2250 col0\" >229</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2251\" class=\"row_heading level0 row2251\" >957d3b28d0b03bc3da70ff2b4d22a789376dc6d8</th>\n                        <td id=\"T_015f1_row2251_col0\" class=\"data row2251 col0\" >229</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2252\" class=\"row_heading level0 row2252\" >fd4804b1282054b5df1bc478fbcb73fbd1aa09cb</th>\n                        <td id=\"T_015f1_row2252_col0\" class=\"data row2252 col0\" >229</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2253\" class=\"row_heading level0 row2253\" >82e707917f7138357ea1e3a7cf8960db03bc1265</th>\n                        <td id=\"T_015f1_row2253_col0\" class=\"data row2253 col0\" >229</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2254\" class=\"row_heading level0 row2254\" >fdc09ce75c596224ceb7e160e17c76f88453c246</th>\n                        <td id=\"T_015f1_row2254_col0\" class=\"data row2254 col0\" >229</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2255\" class=\"row_heading level0 row2255\" >dbf834c29e836ceb11ed67250ff022e0574ae151</th>\n                        <td id=\"T_015f1_row2255_col0\" class=\"data row2255 col0\" >228</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2256\" class=\"row_heading level0 row2256\" >2f81febb1050d0a35d9e2b66b724160b7fbe47a0</th>\n                        <td id=\"T_015f1_row2256_col0\" class=\"data row2256 col0\" >228</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2257\" class=\"row_heading level0 row2257\" >dbc17bf04128def25f01bcc13d2c2d3205eb775a</th>\n                        <td id=\"T_015f1_row2257_col0\" class=\"data row2257 col0\" >227</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2258\" class=\"row_heading level0 row2258\" >52667d8529b08c807ebbba4794d19822eaba582a</th>\n                        <td id=\"T_015f1_row2258_col0\" class=\"data row2258 col0\" >227</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2259\" class=\"row_heading level0 row2259\" >0f8016a499aca9374ac6eda3b5896acc74ec9c92</th>\n                        <td id=\"T_015f1_row2259_col0\" class=\"data row2259 col0\" >225</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2260\" class=\"row_heading level0 row2260\" >ae146cd04fc19384d7f36247ebe89cac316ae299</th>\n                        <td id=\"T_015f1_row2260_col0\" class=\"data row2260 col0\" >225</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2261\" class=\"row_heading level0 row2261\" >20f510d467a07b65d51f2a883e72c0653ee27877</th>\n                        <td id=\"T_015f1_row2261_col0\" class=\"data row2261 col0\" >224</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2262\" class=\"row_heading level0 row2262\" >93fc6235cd6c9a9c2370b1eb914571958777be68</th>\n                        <td id=\"T_015f1_row2262_col0\" class=\"data row2262 col0\" >223</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2263\" class=\"row_heading level0 row2263\" >436dc9857f310f6c6cc83450b69f43b0a5916684</th>\n                        <td id=\"T_015f1_row2263_col0\" class=\"data row2263 col0\" >223</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2264\" class=\"row_heading level0 row2264\" >bdc27fe787f780e04bb2006cf2f05f592dc3dfa1</th>\n                        <td id=\"T_015f1_row2264_col0\" class=\"data row2264 col0\" >223</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2265\" class=\"row_heading level0 row2265\" >f7cafc03bccd24959fbcb283302b680c892e4a32</th>\n                        <td id=\"T_015f1_row2265_col0\" class=\"data row2265 col0\" >222</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2266\" class=\"row_heading level0 row2266\" >bbbd7b587e68bed0cd6416dc47722c16eb12516a</th>\n                        <td id=\"T_015f1_row2266_col0\" class=\"data row2266 col0\" >222</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2267\" class=\"row_heading level0 row2267\" >0c595f5391209262f249f4996df6774f1647f06c</th>\n                        <td id=\"T_015f1_row2267_col0\" class=\"data row2267 col0\" >222</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2268\" class=\"row_heading level0 row2268\" >263b027847fa009356ae35fa5d506f780d812628</th>\n                        <td id=\"T_015f1_row2268_col0\" class=\"data row2268 col0\" >221</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2269\" class=\"row_heading level0 row2269\" >bee1cd984b57b202fadf2ce08b959d9a83a04139</th>\n                        <td id=\"T_015f1_row2269_col0\" class=\"data row2269 col0\" >220</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2270\" class=\"row_heading level0 row2270\" >41b904a84e545e0ec3357166a552b353d4f34c1a</th>\n                        <td id=\"T_015f1_row2270_col0\" class=\"data row2270 col0\" >219</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2271\" class=\"row_heading level0 row2271\" >5da67661f682759d0294c2da07cf7130949f371b</th>\n                        <td id=\"T_015f1_row2271_col0\" class=\"data row2271 col0\" >219</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2272\" class=\"row_heading level0 row2272\" >6c0e9ba35f01387994a7dc48c916ea9e06d27138</th>\n                        <td id=\"T_015f1_row2272_col0\" class=\"data row2272 col0\" >219</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2273\" class=\"row_heading level0 row2273\" >a35c02b945625781267821b43bd2eb609616ce65</th>\n                        <td id=\"T_015f1_row2273_col0\" class=\"data row2273 col0\" >218</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2274\" class=\"row_heading level0 row2274\" >657f19f141d504a6e3e3e5107bb1949a8086a8e4</th>\n                        <td id=\"T_015f1_row2274_col0\" class=\"data row2274 col0\" >218</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2275\" class=\"row_heading level0 row2275\" >ebc043e06eec5c8c277933fc6750bcc926335fd4</th>\n                        <td id=\"T_015f1_row2275_col0\" class=\"data row2275 col0\" >217</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2276\" class=\"row_heading level0 row2276\" >2a4436df4695f9b568fdcac3e36e391ab9c16e56</th>\n                        <td id=\"T_015f1_row2276_col0\" class=\"data row2276 col0\" >217</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2277\" class=\"row_heading level0 row2277\" >6ec546bda8ada6afc76e5d5c5d6a4c7c3fce1f32</th>\n                        <td id=\"T_015f1_row2277_col0\" class=\"data row2277 col0\" >217</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2278\" class=\"row_heading level0 row2278\" >6eafe97ced267365a205e3ae99ae98b4a2f4631d</th>\n                        <td id=\"T_015f1_row2278_col0\" class=\"data row2278 col0\" >217</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2279\" class=\"row_heading level0 row2279\" >7f185d7a57f128c9decbb19b50816c223bec9619</th>\n                        <td id=\"T_015f1_row2279_col0\" class=\"data row2279 col0\" >217</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2280\" class=\"row_heading level0 row2280\" >d09e9623280c9939aed3a92e9061f8e2c95c62a7</th>\n                        <td id=\"T_015f1_row2280_col0\" class=\"data row2280 col0\" >216</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2281\" class=\"row_heading level0 row2281\" >a43581283d31c0eae988b34ec85ca39000c680cd</th>\n                        <td id=\"T_015f1_row2281_col0\" class=\"data row2281 col0\" >216</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2282\" class=\"row_heading level0 row2282\" >cd6783284ff3a85535da796f2b8cacfdf54740d1</th>\n                        <td id=\"T_015f1_row2282_col0\" class=\"data row2282 col0\" >216</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2283\" class=\"row_heading level0 row2283\" >932b23062713bdd2a66d05f2ef23953dbbe9400b</th>\n                        <td id=\"T_015f1_row2283_col0\" class=\"data row2283 col0\" >216</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2284\" class=\"row_heading level0 row2284\" >e322455fc20fb4346840f63affb9d4ef11888a1a</th>\n                        <td id=\"T_015f1_row2284_col0\" class=\"data row2284 col0\" >215</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2285\" class=\"row_heading level0 row2285\" >07da7ef8b83b339309b308ae7136f379e7430920</th>\n                        <td id=\"T_015f1_row2285_col0\" class=\"data row2285 col0\" >214</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2286\" class=\"row_heading level0 row2286\" >82385a56f25847fe6966d46bb58f302c4597953c</th>\n                        <td id=\"T_015f1_row2286_col0\" class=\"data row2286 col0\" >214</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2287\" class=\"row_heading level0 row2287\" >d19546a8a780d15f45cf798e4e3d713c498a5897</th>\n                        <td id=\"T_015f1_row2287_col0\" class=\"data row2287 col0\" >214</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2288\" class=\"row_heading level0 row2288\" >9058e469ff561b485e22afa134d49679818bf80f</th>\n                        <td id=\"T_015f1_row2288_col0\" class=\"data row2288 col0\" >214</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2289\" class=\"row_heading level0 row2289\" >174664e3c2ad26cb0f35f8226d81b5aa36f0f183</th>\n                        <td id=\"T_015f1_row2289_col0\" class=\"data row2289 col0\" >214</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2290\" class=\"row_heading level0 row2290\" >27faa4c87499660109f7cce81d05542b4d109d59</th>\n                        <td id=\"T_015f1_row2290_col0\" class=\"data row2290 col0\" >213</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2291\" class=\"row_heading level0 row2291\" >18fd0027a7d2a7ac180db63d0e8f94d4a2c7cfd6</th>\n                        <td id=\"T_015f1_row2291_col0\" class=\"data row2291 col0\" >213</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2292\" class=\"row_heading level0 row2292\" >feb21e7aa4d21fba283d038b5cbf2ca33d929986</th>\n                        <td id=\"T_015f1_row2292_col0\" class=\"data row2292 col0\" >213</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2293\" class=\"row_heading level0 row2293\" >b5868a9908e5a6e06b9240fb982b6ec3712e013a</th>\n                        <td id=\"T_015f1_row2293_col0\" class=\"data row2293 col0\" >212</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2294\" class=\"row_heading level0 row2294\" >e4f0002bbc75ce86be9e8cd46dc47c556a32955e</th>\n                        <td id=\"T_015f1_row2294_col0\" class=\"data row2294 col0\" >212</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2295\" class=\"row_heading level0 row2295\" >817b99c65c4d92ab758443590680da2c3129c62b</th>\n                        <td id=\"T_015f1_row2295_col0\" class=\"data row2295 col0\" >212</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2296\" class=\"row_heading level0 row2296\" >24d178b2fe580b871c853757e2c4668b16bc3ffc</th>\n                        <td id=\"T_015f1_row2296_col0\" class=\"data row2296 col0\" >211</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2297\" class=\"row_heading level0 row2297\" >46e8ce0d637f73d35c0612e9202a6a34412a4afa</th>\n                        <td id=\"T_015f1_row2297_col0\" class=\"data row2297 col0\" >210</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2298\" class=\"row_heading level0 row2298\" >7b2cf71a247931ba8541bff9cbfc748d50a3fb5d</th>\n                        <td id=\"T_015f1_row2298_col0\" class=\"data row2298 col0\" >210</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2299\" class=\"row_heading level0 row2299\" >cf1a55260b7e18c4168892d7a40de1cb2a3ec332</th>\n                        <td id=\"T_015f1_row2299_col0\" class=\"data row2299 col0\" >209</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2300\" class=\"row_heading level0 row2300\" >5944b636243a99749c2114bf57072e1505801e26</th>\n                        <td id=\"T_015f1_row2300_col0\" class=\"data row2300 col0\" >209</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2301\" class=\"row_heading level0 row2301\" >9b6daff1b84e5a4dc2b9429508812ab36362aaad</th>\n                        <td id=\"T_015f1_row2301_col0\" class=\"data row2301 col0\" >209</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2302\" class=\"row_heading level0 row2302\" >94893146038e14720de49d05e17f8c96796b4328</th>\n                        <td id=\"T_015f1_row2302_col0\" class=\"data row2302 col0\" >209</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2303\" class=\"row_heading level0 row2303\" >8bb8eed67c0dc9c8229fe36cb6f382f948af3767</th>\n                        <td id=\"T_015f1_row2303_col0\" class=\"data row2303 col0\" >208</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2304\" class=\"row_heading level0 row2304\" >2b6a42dbc5a9f6cd08d8c78098d6d804cde67a31</th>\n                        <td id=\"T_015f1_row2304_col0\" class=\"data row2304 col0\" >208</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2305\" class=\"row_heading level0 row2305\" >6c292699842dfcb5f61ab61c5e24446e18891c24</th>\n                        <td id=\"T_015f1_row2305_col0\" class=\"data row2305 col0\" >208</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2306\" class=\"row_heading level0 row2306\" >e968e5830fe84fe6fe53b5ae5ee1e7342d814b9d</th>\n                        <td id=\"T_015f1_row2306_col0\" class=\"data row2306 col0\" >208</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2307\" class=\"row_heading level0 row2307\" >1de760a84699479183960ed4832d414adda3a8c9</th>\n                        <td id=\"T_015f1_row2307_col0\" class=\"data row2307 col0\" >208</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2308\" class=\"row_heading level0 row2308\" >7b049189b41b3e115d8a93584b821548656982f0</th>\n                        <td id=\"T_015f1_row2308_col0\" class=\"data row2308 col0\" >207</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2309\" class=\"row_heading level0 row2309\" >59bd239e90eb83064af1da04bce022c1caae01ba</th>\n                        <td id=\"T_015f1_row2309_col0\" class=\"data row2309 col0\" >206</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2310\" class=\"row_heading level0 row2310\" >32ef170d61ccb273f9d3fde9c7e01d9718055e50</th>\n                        <td id=\"T_015f1_row2310_col0\" class=\"data row2310 col0\" >206</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2311\" class=\"row_heading level0 row2311\" >216a472c98ad465f23b5893d6c56bc3649eaac11</th>\n                        <td id=\"T_015f1_row2311_col0\" class=\"data row2311 col0\" >206</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2312\" class=\"row_heading level0 row2312\" >abccda6bfc32d8f7fc4165ce311b700e918f345f</th>\n                        <td id=\"T_015f1_row2312_col0\" class=\"data row2312 col0\" >206</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2313\" class=\"row_heading level0 row2313\" >6ae84ed04c5b29fc158aa78e4d3c3d687253cff0</th>\n                        <td id=\"T_015f1_row2313_col0\" class=\"data row2313 col0\" >205</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2314\" class=\"row_heading level0 row2314\" >0f7d10d5fabcc4d22bcae8ee90e4f09d42932415</th>\n                        <td id=\"T_015f1_row2314_col0\" class=\"data row2314 col0\" >205</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2315\" class=\"row_heading level0 row2315\" >7929b1f73bdd871be256b05e71559579512e9c26</th>\n                        <td id=\"T_015f1_row2315_col0\" class=\"data row2315 col0\" >204</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2316\" class=\"row_heading level0 row2316\" >6612729b61c36a6a71620b76e2ab6ce3e7ed9023</th>\n                        <td id=\"T_015f1_row2316_col0\" class=\"data row2316 col0\" >204</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2317\" class=\"row_heading level0 row2317\" >0b6969df15e484af4d3f5f964b3243aeb4624ca2</th>\n                        <td id=\"T_015f1_row2317_col0\" class=\"data row2317 col0\" >204</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2318\" class=\"row_heading level0 row2318\" >ee9c9078fdce9b99d80fee62dd5625fe4f80c72d</th>\n                        <td id=\"T_015f1_row2318_col0\" class=\"data row2318 col0\" >204</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2319\" class=\"row_heading level0 row2319\" >dec58403da6a2b61454b8ae39f1f6d6965e49520</th>\n                        <td id=\"T_015f1_row2319_col0\" class=\"data row2319 col0\" >204</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2320\" class=\"row_heading level0 row2320\" >ff115962b9756008e3bd8b6a969d53b1ac7a4616</th>\n                        <td id=\"T_015f1_row2320_col0\" class=\"data row2320 col0\" >203</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2321\" class=\"row_heading level0 row2321\" >b742b3fa0287399e647252d184ee8d58b67c05ae</th>\n                        <td id=\"T_015f1_row2321_col0\" class=\"data row2321 col0\" >203</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2322\" class=\"row_heading level0 row2322\" >73c4ae0632beb617b019eefa52c7f09eda90a14b</th>\n                        <td id=\"T_015f1_row2322_col0\" class=\"data row2322 col0\" >203</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2323\" class=\"row_heading level0 row2323\" >c92fb62ab3444586b1ce18c5091a78ac63589fbc</th>\n                        <td id=\"T_015f1_row2323_col0\" class=\"data row2323 col0\" >203</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2324\" class=\"row_heading level0 row2324\" >fbd808225e95366ec92480b1286e4c7cbda2de53</th>\n                        <td id=\"T_015f1_row2324_col0\" class=\"data row2324 col0\" >203</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2325\" class=\"row_heading level0 row2325\" >a96c5d70811439700666434e10d7076adfc78809</th>\n                        <td id=\"T_015f1_row2325_col0\" class=\"data row2325 col0\" >202</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2326\" class=\"row_heading level0 row2326\" >542c742676a8e69750a4512e124b8992d3418dbe</th>\n                        <td id=\"T_015f1_row2326_col0\" class=\"data row2326 col0\" >202</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2327\" class=\"row_heading level0 row2327\" >a96a71e590ab64eb835586fa0da338e4e235b927</th>\n                        <td id=\"T_015f1_row2327_col0\" class=\"data row2327 col0\" >201</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2328\" class=\"row_heading level0 row2328\" >2d7915016ccd06d86fc5344c4e197e8bf929e2c4</th>\n                        <td id=\"T_015f1_row2328_col0\" class=\"data row2328 col0\" >201</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2329\" class=\"row_heading level0 row2329\" >3c491d07c451dec70b9eeb4209e83ac19c28e0b6</th>\n                        <td id=\"T_015f1_row2329_col0\" class=\"data row2329 col0\" >201</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2330\" class=\"row_heading level0 row2330\" >e4b0e015ca3bcd7c18b4cb8c86aeb6a27609b8ab</th>\n                        <td id=\"T_015f1_row2330_col0\" class=\"data row2330 col0\" >200</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2331\" class=\"row_heading level0 row2331\" >a3277f9bdc8b4ff4d84cd78850f554f3c19597f0</th>\n                        <td id=\"T_015f1_row2331_col0\" class=\"data row2331 col0\" >200</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2332\" class=\"row_heading level0 row2332\" >f8b6d1d673a0da0544cc51fcbf8704270f686472</th>\n                        <td id=\"T_015f1_row2332_col0\" class=\"data row2332 col0\" >200</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2333\" class=\"row_heading level0 row2333\" >e2a7123759cacf81363159e801826cff200dd3dd</th>\n                        <td id=\"T_015f1_row2333_col0\" class=\"data row2333 col0\" >200</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2334\" class=\"row_heading level0 row2334\" >b082cd83b6c17d156f27d4c97ad6874f37b0bc6d</th>\n                        <td id=\"T_015f1_row2334_col0\" class=\"data row2334 col0\" >200</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2335\" class=\"row_heading level0 row2335\" >b98e3260718414975c60dc48e3e4bfe11ec66322</th>\n                        <td id=\"T_015f1_row2335_col0\" class=\"data row2335 col0\" >199</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2336\" class=\"row_heading level0 row2336\" >12eacd6c6294629e960f37ab2e0e7cb519123d2c</th>\n                        <td id=\"T_015f1_row2336_col0\" class=\"data row2336 col0\" >199</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2337\" class=\"row_heading level0 row2337\" >742dd81ddd8a7a4c939a07f6ea46fdb1fb3d03b1</th>\n                        <td id=\"T_015f1_row2337_col0\" class=\"data row2337 col0\" >197</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2338\" class=\"row_heading level0 row2338\" >e0c8fb40eafd81427af58409336c3504062e7cad</th>\n                        <td id=\"T_015f1_row2338_col0\" class=\"data row2338 col0\" >197</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2339\" class=\"row_heading level0 row2339\" >113820a03839a5322e2bff907a5c25636c5b710f</th>\n                        <td id=\"T_015f1_row2339_col0\" class=\"data row2339 col0\" >197</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2340\" class=\"row_heading level0 row2340\" >1d0b8f1be810983dd2f186937bbd97c55010dcad</th>\n                        <td id=\"T_015f1_row2340_col0\" class=\"data row2340 col0\" >197</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2341\" class=\"row_heading level0 row2341\" >05243d0956aee952c6fe6b817cf62fa70ed37623</th>\n                        <td id=\"T_015f1_row2341_col0\" class=\"data row2341 col0\" >196</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2342\" class=\"row_heading level0 row2342\" >0f1cffa04f364c47ea77d07cace87eba0e9769a9</th>\n                        <td id=\"T_015f1_row2342_col0\" class=\"data row2342 col0\" >195</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2343\" class=\"row_heading level0 row2343\" >d969f17429aafe3a55469de23b83a9f81c57acce</th>\n                        <td id=\"T_015f1_row2343_col0\" class=\"data row2343 col0\" >195</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2344\" class=\"row_heading level0 row2344\" >82d09c2282be8f8b0259accfc75bd9104deb1d93</th>\n                        <td id=\"T_015f1_row2344_col0\" class=\"data row2344 col0\" >195</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2345\" class=\"row_heading level0 row2345\" >f5c2dc2db8298e3578ac1a676755b73b97c44f70</th>\n                        <td id=\"T_015f1_row2345_col0\" class=\"data row2345 col0\" >194</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2346\" class=\"row_heading level0 row2346\" >03687879569053327f1cbe933c2a8d521f04dcd9</th>\n                        <td id=\"T_015f1_row2346_col0\" class=\"data row2346 col0\" >194</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2347\" class=\"row_heading level0 row2347\" >0d06e701fb22cf3fb615c29ef9f01e84b0db2325</th>\n                        <td id=\"T_015f1_row2347_col0\" class=\"data row2347 col0\" >193</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2348\" class=\"row_heading level0 row2348\" >6ec256be9ad01a967e5eac307c10fd4d319d6b72</th>\n                        <td id=\"T_015f1_row2348_col0\" class=\"data row2348 col0\" >193</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2349\" class=\"row_heading level0 row2349\" >783dbfb75dc0549ca054afe74ce4b4d5d068d172</th>\n                        <td id=\"T_015f1_row2349_col0\" class=\"data row2349 col0\" >192</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2350\" class=\"row_heading level0 row2350\" >0c5cda0386b9de9d4e8d5788f192af0dac40ce2c</th>\n                        <td id=\"T_015f1_row2350_col0\" class=\"data row2350 col0\" >192</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2351\" class=\"row_heading level0 row2351\" >64a4f29ec3c43ebcede7896f7bdc045525c630c5</th>\n                        <td id=\"T_015f1_row2351_col0\" class=\"data row2351 col0\" >192</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2352\" class=\"row_heading level0 row2352\" >d492309e90b7e55dc9c790e150bb15b2800b2371</th>\n                        <td id=\"T_015f1_row2352_col0\" class=\"data row2352 col0\" >190</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2353\" class=\"row_heading level0 row2353\" >dc91c4832a31e2241b07453b4747feb0bce8875f</th>\n                        <td id=\"T_015f1_row2353_col0\" class=\"data row2353 col0\" >189</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2354\" class=\"row_heading level0 row2354\" >a9987a9fd58f525040520367e492bf90d5d9b1cb</th>\n                        <td id=\"T_015f1_row2354_col0\" class=\"data row2354 col0\" >189</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2355\" class=\"row_heading level0 row2355\" >ba3ba9a42d97f97eeddbbabf9f1722f21a230395</th>\n                        <td id=\"T_015f1_row2355_col0\" class=\"data row2355 col0\" >189</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2356\" class=\"row_heading level0 row2356\" >2f693b7605fd635cea00d638b79b24f450ca2855</th>\n                        <td id=\"T_015f1_row2356_col0\" class=\"data row2356 col0\" >189</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2357\" class=\"row_heading level0 row2357\" >a4f3fa6c8637491a98dc2919678d10f59aa57689</th>\n                        <td id=\"T_015f1_row2357_col0\" class=\"data row2357 col0\" >188</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2358\" class=\"row_heading level0 row2358\" >888ae9a2915b9d8932454d4c0942f40e23a9cab9</th>\n                        <td id=\"T_015f1_row2358_col0\" class=\"data row2358 col0\" >188</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2359\" class=\"row_heading level0 row2359\" >1df62329b52c90e42f7895f3527f7e39b8437d57</th>\n                        <td id=\"T_015f1_row2359_col0\" class=\"data row2359 col0\" >188</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2360\" class=\"row_heading level0 row2360\" >730d8d58fc114ba448f60535d7843c49feec7578</th>\n                        <td id=\"T_015f1_row2360_col0\" class=\"data row2360 col0\" >187</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2361\" class=\"row_heading level0 row2361\" >ed3002a532b95b07b4763d588ed6f2249b567477</th>\n                        <td id=\"T_015f1_row2361_col0\" class=\"data row2361 col0\" >186</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2362\" class=\"row_heading level0 row2362\" >f9402fa4c19b3124c5a395f2bf443e0417dd0380</th>\n                        <td id=\"T_015f1_row2362_col0\" class=\"data row2362 col0\" >185</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2363\" class=\"row_heading level0 row2363\" >8abac36f07f0e1feb5d8df23e235f521174189e2</th>\n                        <td id=\"T_015f1_row2363_col0\" class=\"data row2363 col0\" >184</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2364\" class=\"row_heading level0 row2364\" >6b39a5a245d29b585a2ce1829402ddb5a94ee56a</th>\n                        <td id=\"T_015f1_row2364_col0\" class=\"data row2364 col0\" >184</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2365\" class=\"row_heading level0 row2365\" >0c4850c8a03b7e54914ab6f06d8ba39fce95764e</th>\n                        <td id=\"T_015f1_row2365_col0\" class=\"data row2365 col0\" >184</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2366\" class=\"row_heading level0 row2366\" >219c57b6a4cec5702c89afa4f6518a13d8ddb617</th>\n                        <td id=\"T_015f1_row2366_col0\" class=\"data row2366 col0\" >183</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2367\" class=\"row_heading level0 row2367\" >410e727f21a1d08e5dd8a92c149d6be07ff5c82f</th>\n                        <td id=\"T_015f1_row2367_col0\" class=\"data row2367 col0\" >182</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2368\" class=\"row_heading level0 row2368\" >7a8c9f4b72673bbaa3bda9fd01396b67132e68f8</th>\n                        <td id=\"T_015f1_row2368_col0\" class=\"data row2368 col0\" >182</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2369\" class=\"row_heading level0 row2369\" >8d8ac49ec434163d1d05c5acba3fad3e0f90ed19</th>\n                        <td id=\"T_015f1_row2369_col0\" class=\"data row2369 col0\" >181</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2370\" class=\"row_heading level0 row2370\" >cfae66195d9772f45e4603a278fca3b974bb3173</th>\n                        <td id=\"T_015f1_row2370_col0\" class=\"data row2370 col0\" >181</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2371\" class=\"row_heading level0 row2371\" >9f0a7a9ca1aaf4d2329a0cb49919aa7bc06a8235</th>\n                        <td id=\"T_015f1_row2371_col0\" class=\"data row2371 col0\" >181</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2372\" class=\"row_heading level0 row2372\" >c19f4d9418e1d51d64503ce9cd179959c454fdd7</th>\n                        <td id=\"T_015f1_row2372_col0\" class=\"data row2372 col0\" >179</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2373\" class=\"row_heading level0 row2373\" >a1d4793ec9c0b364d7097355fdbecd3afc28de6d</th>\n                        <td id=\"T_015f1_row2373_col0\" class=\"data row2373 col0\" >179</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2374\" class=\"row_heading level0 row2374\" >6ba5c44efda7613a72850ee343fecc1cb165e703</th>\n                        <td id=\"T_015f1_row2374_col0\" class=\"data row2374 col0\" >179</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2375\" class=\"row_heading level0 row2375\" >845038728a7ec61024535aa4638183d82ae2912a</th>\n                        <td id=\"T_015f1_row2375_col0\" class=\"data row2375 col0\" >179</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2376\" class=\"row_heading level0 row2376\" >8d03f70f6057d9f77c4061ca6636c2e743085a6b</th>\n                        <td id=\"T_015f1_row2376_col0\" class=\"data row2376 col0\" >178</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2377\" class=\"row_heading level0 row2377\" >7f4604e29d2832911a634759c6fa1b3551f40c3c</th>\n                        <td id=\"T_015f1_row2377_col0\" class=\"data row2377 col0\" >178</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2378\" class=\"row_heading level0 row2378\" >f63024eb181498851c980956fb0bed8206b081be</th>\n                        <td id=\"T_015f1_row2378_col0\" class=\"data row2378 col0\" >177</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2379\" class=\"row_heading level0 row2379\" >d23f7836caaa31d08a310f38f46a474623350f41</th>\n                        <td id=\"T_015f1_row2379_col0\" class=\"data row2379 col0\" >177</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2380\" class=\"row_heading level0 row2380\" >7ba3e544d7bbe33c00b7dcd2d295d2c8e5692458</th>\n                        <td id=\"T_015f1_row2380_col0\" class=\"data row2380 col0\" >176</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2381\" class=\"row_heading level0 row2381\" >43f0ee8a15832813fe821f66cdf939c9ce551557</th>\n                        <td id=\"T_015f1_row2381_col0\" class=\"data row2381 col0\" >176</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2382\" class=\"row_heading level0 row2382\" >0fcea420bca380605e4e8e630df0a6ab4d77f2b6</th>\n                        <td id=\"T_015f1_row2382_col0\" class=\"data row2382 col0\" >176</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2383\" class=\"row_heading level0 row2383\" >9fa437dcd243128911d16094767209c2d04947cb</th>\n                        <td id=\"T_015f1_row2383_col0\" class=\"data row2383 col0\" >175</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2384\" class=\"row_heading level0 row2384\" >15a87595aec808ed4e4c7fd81d1c500952a0c252</th>\n                        <td id=\"T_015f1_row2384_col0\" class=\"data row2384 col0\" >175</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2385\" class=\"row_heading level0 row2385\" >044553a933189a36fee7b83b12d924fc87ccc5e7</th>\n                        <td id=\"T_015f1_row2385_col0\" class=\"data row2385 col0\" >175</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2386\" class=\"row_heading level0 row2386\" >fc56e83e8649aea03d79b6a233b4893af142607b</th>\n                        <td id=\"T_015f1_row2386_col0\" class=\"data row2386 col0\" >174</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2387\" class=\"row_heading level0 row2387\" >fec3a97cf01c9dfb1178693cc2924aabfbd4e1ef</th>\n                        <td id=\"T_015f1_row2387_col0\" class=\"data row2387 col0\" >174</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2388\" class=\"row_heading level0 row2388\" >48f4ff5f367169dfd9a094a7790266b5e6b228e7</th>\n                        <td id=\"T_015f1_row2388_col0\" class=\"data row2388 col0\" >174</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2389\" class=\"row_heading level0 row2389\" >005246b6f51feb1a069e8f005d3e6aba2591b65b</th>\n                        <td id=\"T_015f1_row2389_col0\" class=\"data row2389 col0\" >174</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2390\" class=\"row_heading level0 row2390\" >22bb4b07373cc6fa70084f0aa8caf19738d7aa32</th>\n                        <td id=\"T_015f1_row2390_col0\" class=\"data row2390 col0\" >174</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2391\" class=\"row_heading level0 row2391\" >4652b9a0dd429bae1fb5dcc8e656b67b12408277</th>\n                        <td id=\"T_015f1_row2391_col0\" class=\"data row2391 col0\" >173</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2392\" class=\"row_heading level0 row2392\" >74653fda8e3edb855b8e08bdea2fcf37806363a9</th>\n                        <td id=\"T_015f1_row2392_col0\" class=\"data row2392 col0\" >172</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2393\" class=\"row_heading level0 row2393\" >04b4a0de9ac9a914b3dcc18ce8dbc771f76c8261</th>\n                        <td id=\"T_015f1_row2393_col0\" class=\"data row2393 col0\" >171</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2394\" class=\"row_heading level0 row2394\" >ba8e50ad623452cb88dc7cd28889cf5f1f6c2fa1</th>\n                        <td id=\"T_015f1_row2394_col0\" class=\"data row2394 col0\" >171</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2395\" class=\"row_heading level0 row2395\" >4608951935961c98acdd8a88cb4d3dfd0358fa6c</th>\n                        <td id=\"T_015f1_row2395_col0\" class=\"data row2395 col0\" >170</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2396\" class=\"row_heading level0 row2396\" >77e085c50ae1cf2b765de4a858637f7698f0fb17</th>\n                        <td id=\"T_015f1_row2396_col0\" class=\"data row2396 col0\" >170</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2397\" class=\"row_heading level0 row2397\" >acccd377c64a35e52d69b9e13f2f28f80a7d436e</th>\n                        <td id=\"T_015f1_row2397_col0\" class=\"data row2397 col0\" >169</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2398\" class=\"row_heading level0 row2398\" >8bfe84530cc718687b93e2c236988cbaa52b39f6</th>\n                        <td id=\"T_015f1_row2398_col0\" class=\"data row2398 col0\" >169</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2399\" class=\"row_heading level0 row2399\" >35d87f78cf05e61c95a0d36156cd6fe9e652f13f</th>\n                        <td id=\"T_015f1_row2399_col0\" class=\"data row2399 col0\" >168</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2400\" class=\"row_heading level0 row2400\" >0231e64a6307175a78f12cfe001c579e580ed721</th>\n                        <td id=\"T_015f1_row2400_col0\" class=\"data row2400 col0\" >167</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2401\" class=\"row_heading level0 row2401\" >5eb37c76fee8a970b031fe2912eb15e77797d6a5</th>\n                        <td id=\"T_015f1_row2401_col0\" class=\"data row2401 col0\" >167</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2402\" class=\"row_heading level0 row2402\" >648cd41df66e52a2850db5b6a3c78e89e2d66c74</th>\n                        <td id=\"T_015f1_row2402_col0\" class=\"data row2402 col0\" >167</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2403\" class=\"row_heading level0 row2403\" >e06f6c7b8ba8546eeaf113e9d850e475672a7130</th>\n                        <td id=\"T_015f1_row2403_col0\" class=\"data row2403 col0\" >166</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2404\" class=\"row_heading level0 row2404\" >5f4f79bcf88409fd57f180ebe10df4399354855b</th>\n                        <td id=\"T_015f1_row2404_col0\" class=\"data row2404 col0\" >166</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2405\" class=\"row_heading level0 row2405\" >802fbf72a301b7e1e744f6a2028a6793721bef63</th>\n                        <td id=\"T_015f1_row2405_col0\" class=\"data row2405 col0\" >166</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2406\" class=\"row_heading level0 row2406\" >43fca3704c746c86eca6956c4a2a3a56d7179e26</th>\n                        <td id=\"T_015f1_row2406_col0\" class=\"data row2406 col0\" >166</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2407\" class=\"row_heading level0 row2407\" >957c446ea3a3b5cd93753a2b4b15ba1445a9c998</th>\n                        <td id=\"T_015f1_row2407_col0\" class=\"data row2407 col0\" >164</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2408\" class=\"row_heading level0 row2408\" >e5c2afd39bf8f7b23eb4741993ad2a24eedf6713</th>\n                        <td id=\"T_015f1_row2408_col0\" class=\"data row2408 col0\" >164</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2409\" class=\"row_heading level0 row2409\" >5f232fb0c21df1ce438f5821d37855f66aaf7a45</th>\n                        <td id=\"T_015f1_row2409_col0\" class=\"data row2409 col0\" >164</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2410\" class=\"row_heading level0 row2410\" >ccce0d3632d7b8640694a0ca5605173b2590828c</th>\n                        <td id=\"T_015f1_row2410_col0\" class=\"data row2410 col0\" >163</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2411\" class=\"row_heading level0 row2411\" >0c2998c5087c3ab1468f27f92723554295cfb69c</th>\n                        <td id=\"T_015f1_row2411_col0\" class=\"data row2411 col0\" >163</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2412\" class=\"row_heading level0 row2412\" >342de5542e3379d7fb210f2b2966e8117ee3d28a</th>\n                        <td id=\"T_015f1_row2412_col0\" class=\"data row2412 col0\" >163</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2413\" class=\"row_heading level0 row2413\" >bbaaa7de0c324abbd99f04e8b5aa63ea1cc3f23f</th>\n                        <td id=\"T_015f1_row2413_col0\" class=\"data row2413 col0\" >163</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2414\" class=\"row_heading level0 row2414\" >ff5c19eefe8884f125c3a91736fc0fb32ecdd919</th>\n                        <td id=\"T_015f1_row2414_col0\" class=\"data row2414 col0\" >162</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2415\" class=\"row_heading level0 row2415\" >ec13c77c364990e02859d25107491d0ccf2f2718</th>\n                        <td id=\"T_015f1_row2415_col0\" class=\"data row2415 col0\" >162</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2416\" class=\"row_heading level0 row2416\" >5de7321b9e176daf1cb38f66935c7c2b0eaad62e</th>\n                        <td id=\"T_015f1_row2416_col0\" class=\"data row2416 col0\" >162</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2417\" class=\"row_heading level0 row2417\" >311f272c72604874ce4a3cc39e9a54a30060a8bd</th>\n                        <td id=\"T_015f1_row2417_col0\" class=\"data row2417 col0\" >162</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2418\" class=\"row_heading level0 row2418\" >67311213d63aabeba19aefd9f211156e743239a2</th>\n                        <td id=\"T_015f1_row2418_col0\" class=\"data row2418 col0\" >161</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2419\" class=\"row_heading level0 row2419\" >f30fecb5243e92df21151acf3c885e36125e89d5</th>\n                        <td id=\"T_015f1_row2419_col0\" class=\"data row2419 col0\" >161</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2420\" class=\"row_heading level0 row2420\" >2e6004ab8bebd86e08cd155a469d00733b1fa7f5</th>\n                        <td id=\"T_015f1_row2420_col0\" class=\"data row2420 col0\" >161</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2421\" class=\"row_heading level0 row2421\" >3457d961b2b36789b53fa012c8c5d52cadb6e598</th>\n                        <td id=\"T_015f1_row2421_col0\" class=\"data row2421 col0\" >160</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2422\" class=\"row_heading level0 row2422\" >e72ce9719552f7e333e13f450e0026c49110245e</th>\n                        <td id=\"T_015f1_row2422_col0\" class=\"data row2422 col0\" >160</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2423\" class=\"row_heading level0 row2423\" >2487ec5f6764a5b69e3a2a16fb28ff8d169ddc85</th>\n                        <td id=\"T_015f1_row2423_col0\" class=\"data row2423 col0\" >160</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2424\" class=\"row_heading level0 row2424\" >6f6d9358d63072a7343657da2584471a026ef222</th>\n                        <td id=\"T_015f1_row2424_col0\" class=\"data row2424 col0\" >160</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2425\" class=\"row_heading level0 row2425\" >90d8151a7f541f47c5d99f3c1af4198f9c6173e4</th>\n                        <td id=\"T_015f1_row2425_col0\" class=\"data row2425 col0\" >159</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2426\" class=\"row_heading level0 row2426\" >efbde39f3089f80200b85f135f77f80abf4f4cbc</th>\n                        <td id=\"T_015f1_row2426_col0\" class=\"data row2426 col0\" >159</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2427\" class=\"row_heading level0 row2427\" >97417a72ce5d840d57acc2b310fce3844a609ac2</th>\n                        <td id=\"T_015f1_row2427_col0\" class=\"data row2427 col0\" >158</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2428\" class=\"row_heading level0 row2428\" >f1abc3ab08fadba2780efe7d23f9f443d966cbdd</th>\n                        <td id=\"T_015f1_row2428_col0\" class=\"data row2428 col0\" >158</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2429\" class=\"row_heading level0 row2429\" >411aabe31169891194d932ff130e40f3c6645060</th>\n                        <td id=\"T_015f1_row2429_col0\" class=\"data row2429 col0\" >158</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2430\" class=\"row_heading level0 row2430\" >49d1397a7e209b13a295fe766d1436a53bb39e36</th>\n                        <td id=\"T_015f1_row2430_col0\" class=\"data row2430 col0\" >157</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2431\" class=\"row_heading level0 row2431\" >119747ef155a1a2b6f989d3ad322a99e77f09d8c</th>\n                        <td id=\"T_015f1_row2431_col0\" class=\"data row2431 col0\" >156</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2432\" class=\"row_heading level0 row2432\" >447a2f4e8183383905eb5e40f9df54a4fa3ae803</th>\n                        <td id=\"T_015f1_row2432_col0\" class=\"data row2432 col0\" >156</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2433\" class=\"row_heading level0 row2433\" >b11b3799aa0f86af1c992ad19daad02c7807f9e9</th>\n                        <td id=\"T_015f1_row2433_col0\" class=\"data row2433 col0\" >156</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2434\" class=\"row_heading level0 row2434\" >492921003b7d5b9578275d52556a4fa1b2a2ddb7</th>\n                        <td id=\"T_015f1_row2434_col0\" class=\"data row2434 col0\" >156</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2435\" class=\"row_heading level0 row2435\" >7ed68fc12bbdff5f8bced79136a6cc60248b289b</th>\n                        <td id=\"T_015f1_row2435_col0\" class=\"data row2435 col0\" >155</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2436\" class=\"row_heading level0 row2436\" >b31f09404269a49cf1a0142b44b238f52834496d</th>\n                        <td id=\"T_015f1_row2436_col0\" class=\"data row2436 col0\" >155</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2437\" class=\"row_heading level0 row2437\" >a1055e389ed86e06a672ba4b16a34fe6f6227279</th>\n                        <td id=\"T_015f1_row2437_col0\" class=\"data row2437 col0\" >154</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2438\" class=\"row_heading level0 row2438\" >8e43ba71b206ee5fd9f24ed22f95a7639d529f82</th>\n                        <td id=\"T_015f1_row2438_col0\" class=\"data row2438 col0\" >154</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2439\" class=\"row_heading level0 row2439\" >c85e90020272ea32feae92d3f50e87f861d2e43a</th>\n                        <td id=\"T_015f1_row2439_col0\" class=\"data row2439 col0\" >153</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2440\" class=\"row_heading level0 row2440\" >981ea4399030f51672b9e39a3bf67d6453854c85</th>\n                        <td id=\"T_015f1_row2440_col0\" class=\"data row2440 col0\" >152</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2441\" class=\"row_heading level0 row2441\" >8483ccd8db3cfd5496e6eb363895ccf7470ca620</th>\n                        <td id=\"T_015f1_row2441_col0\" class=\"data row2441 col0\" >152</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2442\" class=\"row_heading level0 row2442\" >9d5d31f34e03e618c7f7156f0b983704358c1364</th>\n                        <td id=\"T_015f1_row2442_col0\" class=\"data row2442 col0\" >151</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2443\" class=\"row_heading level0 row2443\" >709ed242bd54e0afe22a33f2de1b6522d91fb7e5</th>\n                        <td id=\"T_015f1_row2443_col0\" class=\"data row2443 col0\" >151</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2444\" class=\"row_heading level0 row2444\" >c774f543de01fb0267f055ebde0eb376317fc6eb</th>\n                        <td id=\"T_015f1_row2444_col0\" class=\"data row2444 col0\" >151</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2445\" class=\"row_heading level0 row2445\" >a4dbfc732417ae6091d0455c4c7bd358eea1aea1</th>\n                        <td id=\"T_015f1_row2445_col0\" class=\"data row2445 col0\" >150</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2446\" class=\"row_heading level0 row2446\" >f08d9bf0a91d51cab5d437b139795bd0dbf7e289</th>\n                        <td id=\"T_015f1_row2446_col0\" class=\"data row2446 col0\" >150</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2447\" class=\"row_heading level0 row2447\" >8209e1ec91351ac7b1936b9628419682c64d4583</th>\n                        <td id=\"T_015f1_row2447_col0\" class=\"data row2447 col0\" >150</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2448\" class=\"row_heading level0 row2448\" >b46bea2b33dcc38d45c3e46c6a819671bbf14258</th>\n                        <td id=\"T_015f1_row2448_col0\" class=\"data row2448 col0\" >150</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2449\" class=\"row_heading level0 row2449\" >c95f17f63915666f463caf23955d1cbcf5896303</th>\n                        <td id=\"T_015f1_row2449_col0\" class=\"data row2449 col0\" >149</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2450\" class=\"row_heading level0 row2450\" >45c8d9e066807b52b7b4d6af8b375d1fd92703fa</th>\n                        <td id=\"T_015f1_row2450_col0\" class=\"data row2450 col0\" >149</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2451\" class=\"row_heading level0 row2451\" >fc23aa78fb042cb4a8d622116c80c7bc135da24f</th>\n                        <td id=\"T_015f1_row2451_col0\" class=\"data row2451 col0\" >149</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2452\" class=\"row_heading level0 row2452\" >c600e3693923ed8911ecc1be20e5638121725c6f</th>\n                        <td id=\"T_015f1_row2452_col0\" class=\"data row2452 col0\" >149</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2453\" class=\"row_heading level0 row2453\" >f8fe2baad951b8cbae8d102f47176666ba8707e5</th>\n                        <td id=\"T_015f1_row2453_col0\" class=\"data row2453 col0\" >148</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2454\" class=\"row_heading level0 row2454\" >7fa207e76c1149bf68454993cb8e1c960dd894a3</th>\n                        <td id=\"T_015f1_row2454_col0\" class=\"data row2454 col0\" >148</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2455\" class=\"row_heading level0 row2455\" >087a0b4758b60aa2a8ec48ed19d4d3137809e084</th>\n                        <td id=\"T_015f1_row2455_col0\" class=\"data row2455 col0\" >148</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2456\" class=\"row_heading level0 row2456\" >945d156bed9b447393914544a2a03ce3d70171b6</th>\n                        <td id=\"T_015f1_row2456_col0\" class=\"data row2456 col0\" >148</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2457\" class=\"row_heading level0 row2457\" >5589b7f5005da90d3a838cc15c8a7920c2acd4bc</th>\n                        <td id=\"T_015f1_row2457_col0\" class=\"data row2457 col0\" >148</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2458\" class=\"row_heading level0 row2458\" >fd5875bae44a87665f646e6c6e14c525b8950f6b</th>\n                        <td id=\"T_015f1_row2458_col0\" class=\"data row2458 col0\" >148</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2459\" class=\"row_heading level0 row2459\" >8f0919b2f9f56159efaa9f5c8c187fadb1a5039e</th>\n                        <td id=\"T_015f1_row2459_col0\" class=\"data row2459 col0\" >147</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2460\" class=\"row_heading level0 row2460\" >94f55028b4f8bcf6b216f0db4160177efc2543c5</th>\n                        <td id=\"T_015f1_row2460_col0\" class=\"data row2460 col0\" >147</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2461\" class=\"row_heading level0 row2461\" >114bd03e476122b252022cbf3f5529e5bfac448f</th>\n                        <td id=\"T_015f1_row2461_col0\" class=\"data row2461 col0\" >146</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2462\" class=\"row_heading level0 row2462\" >241ded0e2d9f24d54c37f909112c27cda82efcc4</th>\n                        <td id=\"T_015f1_row2462_col0\" class=\"data row2462 col0\" >146</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2463\" class=\"row_heading level0 row2463\" >8acb027281590a40941485b4996ade527370836c</th>\n                        <td id=\"T_015f1_row2463_col0\" class=\"data row2463 col0\" >146</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2464\" class=\"row_heading level0 row2464\" >8ef0a4665a42d2c956f3d05e574c72136768de44</th>\n                        <td id=\"T_015f1_row2464_col0\" class=\"data row2464 col0\" >146</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2465\" class=\"row_heading level0 row2465\" >a06d9b6f8b2e95fd37b12adbf6dc78e65965c7d6</th>\n                        <td id=\"T_015f1_row2465_col0\" class=\"data row2465 col0\" >146</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2466\" class=\"row_heading level0 row2466\" >87438f30117c0ecc515dc0144578dbd0a88f24af</th>\n                        <td id=\"T_015f1_row2466_col0\" class=\"data row2466 col0\" >145</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2467\" class=\"row_heading level0 row2467\" >367750d787ec9c41106b733273b08d0a5b8046ae</th>\n                        <td id=\"T_015f1_row2467_col0\" class=\"data row2467 col0\" >145</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2468\" class=\"row_heading level0 row2468\" >40b29aad68a285ddf6798e482242c856f578f5c9</th>\n                        <td id=\"T_015f1_row2468_col0\" class=\"data row2468 col0\" >144</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2469\" class=\"row_heading level0 row2469\" >944b1b3f0749817e0815937b4f5efa5f719c50a2</th>\n                        <td id=\"T_015f1_row2469_col0\" class=\"data row2469 col0\" >144</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2470\" class=\"row_heading level0 row2470\" >05a88b69c8766dca080b7da6ccc0726fe69bf6ac</th>\n                        <td id=\"T_015f1_row2470_col0\" class=\"data row2470 col0\" >144</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2471\" class=\"row_heading level0 row2471\" >674d9cfb021649b50b43687ca53834f4570660fd</th>\n                        <td id=\"T_015f1_row2471_col0\" class=\"data row2471 col0\" >143</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2472\" class=\"row_heading level0 row2472\" >65090521ccd56c8830c666782cfebc93fceeb675</th>\n                        <td id=\"T_015f1_row2472_col0\" class=\"data row2472 col0\" >143</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2473\" class=\"row_heading level0 row2473\" >f512c41d8b01b45080a57205c462fd6b95a31ca1</th>\n                        <td id=\"T_015f1_row2473_col0\" class=\"data row2473 col0\" >142</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2474\" class=\"row_heading level0 row2474\" >1e6cf70bccf9f19d88b72c8d626704099aaed9c9</th>\n                        <td id=\"T_015f1_row2474_col0\" class=\"data row2474 col0\" >142</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2475\" class=\"row_heading level0 row2475\" >1e298341110d89a4dfac5ce32cc04f0265a3eedc</th>\n                        <td id=\"T_015f1_row2475_col0\" class=\"data row2475 col0\" >142</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2476\" class=\"row_heading level0 row2476\" >a87f8e0b2ddcf678d4ee115f554c3ef0b2fbdfcf</th>\n                        <td id=\"T_015f1_row2476_col0\" class=\"data row2476 col0\" >142</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2477\" class=\"row_heading level0 row2477\" >2781e6f065306ab081c5b7de925744896321118b</th>\n                        <td id=\"T_015f1_row2477_col0\" class=\"data row2477 col0\" >142</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2478\" class=\"row_heading level0 row2478\" >f71bfb2d30a2d98762544abce3534422d2fe99c2</th>\n                        <td id=\"T_015f1_row2478_col0\" class=\"data row2478 col0\" >140</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2479\" class=\"row_heading level0 row2479\" >3938fc603208e146857d9709966c59a5168812fe</th>\n                        <td id=\"T_015f1_row2479_col0\" class=\"data row2479 col0\" >140</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2480\" class=\"row_heading level0 row2480\" >e0eab6c8d457a229e71886635f929fbd0eaa795c</th>\n                        <td id=\"T_015f1_row2480_col0\" class=\"data row2480 col0\" >140</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2481\" class=\"row_heading level0 row2481\" >d631f039669aab70233337a2ab1417e5389b92fd</th>\n                        <td id=\"T_015f1_row2481_col0\" class=\"data row2481 col0\" >140</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2482\" class=\"row_heading level0 row2482\" >a9d8326a1428ca44c17a142294b12e3b26b36b15</th>\n                        <td id=\"T_015f1_row2482_col0\" class=\"data row2482 col0\" >140</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2483\" class=\"row_heading level0 row2483\" >df147bad38cc0ee06c40d803badf4ee7b612aec0</th>\n                        <td id=\"T_015f1_row2483_col0\" class=\"data row2483 col0\" >140</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2484\" class=\"row_heading level0 row2484\" >6adedef890e3fe4687ebc2089ae518459956f6ce</th>\n                        <td id=\"T_015f1_row2484_col0\" class=\"data row2484 col0\" >139</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2485\" class=\"row_heading level0 row2485\" >0d4bedc6c263f9a7353ee1e763e287340296eeaf</th>\n                        <td id=\"T_015f1_row2485_col0\" class=\"data row2485 col0\" >138</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2486\" class=\"row_heading level0 row2486\" >6ee6b0c86e9dd70a4de5227b4ca3b09149f02e26</th>\n                        <td id=\"T_015f1_row2486_col0\" class=\"data row2486 col0\" >138</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2487\" class=\"row_heading level0 row2487\" >dc2adef8edad54bd7cad9ef86165c545f566da65</th>\n                        <td id=\"T_015f1_row2487_col0\" class=\"data row2487 col0\" >138</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2488\" class=\"row_heading level0 row2488\" >25601da69eaa5dff53f96c9618e41a17845cb1ce</th>\n                        <td id=\"T_015f1_row2488_col0\" class=\"data row2488 col0\" >138</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2489\" class=\"row_heading level0 row2489\" >609effa682e30f52fd2a692805eb0149332dd9f9</th>\n                        <td id=\"T_015f1_row2489_col0\" class=\"data row2489 col0\" >137</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2490\" class=\"row_heading level0 row2490\" >2930cce4eb10cc92ca1d6dec2f85ad614a894ff7</th>\n                        <td id=\"T_015f1_row2490_col0\" class=\"data row2490 col0\" >137</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2491\" class=\"row_heading level0 row2491\" >6f57baa85760bfa97d29fc5abd4a236e3ca70108</th>\n                        <td id=\"T_015f1_row2491_col0\" class=\"data row2491 col0\" >137</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2492\" class=\"row_heading level0 row2492\" >b284278dbb1d7d5142b5163cd30965b5510c7a1e</th>\n                        <td id=\"T_015f1_row2492_col0\" class=\"data row2492 col0\" >137</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2493\" class=\"row_heading level0 row2493\" >eb24c3ed9791d22cee33872db145fa9dbbbbf8e7</th>\n                        <td id=\"T_015f1_row2493_col0\" class=\"data row2493 col0\" >137</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2494\" class=\"row_heading level0 row2494\" >317edaf3ea5c9a9f4958556ab14e8cee1a611a56</th>\n                        <td id=\"T_015f1_row2494_col0\" class=\"data row2494 col0\" >136</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2495\" class=\"row_heading level0 row2495\" >c3b4a3b6f118ac96d0e8c2321a4a20b73108152d</th>\n                        <td id=\"T_015f1_row2495_col0\" class=\"data row2495 col0\" >135</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2496\" class=\"row_heading level0 row2496\" >a62958e9857892a6acb4d98344d93dd69a550a3e</th>\n                        <td id=\"T_015f1_row2496_col0\" class=\"data row2496 col0\" >135</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2497\" class=\"row_heading level0 row2497\" >5151b09517fdadd7655d726d0258de16b459ac90</th>\n                        <td id=\"T_015f1_row2497_col0\" class=\"data row2497 col0\" >134</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2498\" class=\"row_heading level0 row2498\" >d13d50adb038e145656197681536a8d1bc55d244</th>\n                        <td id=\"T_015f1_row2498_col0\" class=\"data row2498 col0\" >134</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2499\" class=\"row_heading level0 row2499\" >94b036e725754ed798d06dee29fdf20adc33d99f</th>\n                        <td id=\"T_015f1_row2499_col0\" class=\"data row2499 col0\" >134</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2500\" class=\"row_heading level0 row2500\" >3b61536817d546393995f664b446e4ecf609ed61</th>\n                        <td id=\"T_015f1_row2500_col0\" class=\"data row2500 col0\" >134</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2501\" class=\"row_heading level0 row2501\" >1d8ad04b8264526b4bc9d39b059f8de134b177a7</th>\n                        <td id=\"T_015f1_row2501_col0\" class=\"data row2501 col0\" >134</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2502\" class=\"row_heading level0 row2502\" >fd963f68e158c7e77bdd1d0a867927a1d270e972</th>\n                        <td id=\"T_015f1_row2502_col0\" class=\"data row2502 col0\" >133</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2503\" class=\"row_heading level0 row2503\" >cf1cdac1c5a6922d64810ccee0d59cc6e81dfc7b</th>\n                        <td id=\"T_015f1_row2503_col0\" class=\"data row2503 col0\" >133</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2504\" class=\"row_heading level0 row2504\" >18caf2fa8f89e464cab9e2485b6550fbcc34d83b</th>\n                        <td id=\"T_015f1_row2504_col0\" class=\"data row2504 col0\" >133</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2505\" class=\"row_heading level0 row2505\" >73b200abe9884eac7268b77a497ad3f231b6ed2f</th>\n                        <td id=\"T_015f1_row2505_col0\" class=\"data row2505 col0\" >131</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2506\" class=\"row_heading level0 row2506\" >771bdbb2cba2c70f1315b79d8102e6726b92b392</th>\n                        <td id=\"T_015f1_row2506_col0\" class=\"data row2506 col0\" >131</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2507\" class=\"row_heading level0 row2507\" >aaf31f927581f003e2e1382f14be410cffdd44a0</th>\n                        <td id=\"T_015f1_row2507_col0\" class=\"data row2507 col0\" >131</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2508\" class=\"row_heading level0 row2508\" >d04eb91b65542a0fc0d886d8ef79cb3bc8db0f7b</th>\n                        <td id=\"T_015f1_row2508_col0\" class=\"data row2508 col0\" >130</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2509\" class=\"row_heading level0 row2509\" >bc9c3ee02390d0341a18efe9820a4df2b031511c</th>\n                        <td id=\"T_015f1_row2509_col0\" class=\"data row2509 col0\" >130</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2510\" class=\"row_heading level0 row2510\" >ceefbbba2615e10e7e12fd44af92555579e40b0d</th>\n                        <td id=\"T_015f1_row2510_col0\" class=\"data row2510 col0\" >130</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2511\" class=\"row_heading level0 row2511\" >926ed7deb6c8b929ad0e0bc75eee75f27e820c14</th>\n                        <td id=\"T_015f1_row2511_col0\" class=\"data row2511 col0\" >130</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2512\" class=\"row_heading level0 row2512\" >f0a612373dbcda509ae4308b4dba1d43c0a25158</th>\n                        <td id=\"T_015f1_row2512_col0\" class=\"data row2512 col0\" >129</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2513\" class=\"row_heading level0 row2513\" >bf4f24db4c0428989070b710582969a4e15e73fa</th>\n                        <td id=\"T_015f1_row2513_col0\" class=\"data row2513 col0\" >128</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2514\" class=\"row_heading level0 row2514\" >03b6dbadbb32eac92097a685214cb1bd8c2c1001</th>\n                        <td id=\"T_015f1_row2514_col0\" class=\"data row2514 col0\" >128</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2515\" class=\"row_heading level0 row2515\" >f4f49aea25102d8770cbc5867949ff046391f623</th>\n                        <td id=\"T_015f1_row2515_col0\" class=\"data row2515 col0\" >128</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2516\" class=\"row_heading level0 row2516\" >4e8954304e559aeadffefa86e242f0b2ceb29cf0</th>\n                        <td id=\"T_015f1_row2516_col0\" class=\"data row2516 col0\" >128</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2517\" class=\"row_heading level0 row2517\" >1f53a74c31d0966c07d56dc75227d3a7e8d3a061</th>\n                        <td id=\"T_015f1_row2517_col0\" class=\"data row2517 col0\" >128</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2518\" class=\"row_heading level0 row2518\" >f3be6e417e86b9791b18d17894f98fb882883099</th>\n                        <td id=\"T_015f1_row2518_col0\" class=\"data row2518 col0\" >128</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2519\" class=\"row_heading level0 row2519\" >31f505ee53168edd54304c81f04a6b2ff3a50ea7</th>\n                        <td id=\"T_015f1_row2519_col0\" class=\"data row2519 col0\" >128</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2520\" class=\"row_heading level0 row2520\" >d42ef17a9e5a3695284d030363ab7bf6217ce7ca</th>\n                        <td id=\"T_015f1_row2520_col0\" class=\"data row2520 col0\" >128</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2521\" class=\"row_heading level0 row2521\" >dd88097a7e2c6e508a2df1478e08ed50b76c27d3</th>\n                        <td id=\"T_015f1_row2521_col0\" class=\"data row2521 col0\" >127</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2522\" class=\"row_heading level0 row2522\" >ca723ca50b281582c817f5ac28abf60297eec4e0</th>\n                        <td id=\"T_015f1_row2522_col0\" class=\"data row2522 col0\" >126</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2523\" class=\"row_heading level0 row2523\" >5f1d36dbf24f6124b41a82a6b3f5340a529273c2</th>\n                        <td id=\"T_015f1_row2523_col0\" class=\"data row2523 col0\" >126</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2524\" class=\"row_heading level0 row2524\" >e949fb5d87b2425df3fd332e265ea75765b4d462</th>\n                        <td id=\"T_015f1_row2524_col0\" class=\"data row2524 col0\" >126</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2525\" class=\"row_heading level0 row2525\" >ac0d8ff3387ce462f224368d011b542831f82498</th>\n                        <td id=\"T_015f1_row2525_col0\" class=\"data row2525 col0\" >126</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2526\" class=\"row_heading level0 row2526\" >0a16962c985606cd3ffd27bb5a95dabd324c1c01</th>\n                        <td id=\"T_015f1_row2526_col0\" class=\"data row2526 col0\" >126</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2527\" class=\"row_heading level0 row2527\" >964497a251ef2cbd1f8ffc6be6c9b6f9852137e8</th>\n                        <td id=\"T_015f1_row2527_col0\" class=\"data row2527 col0\" >125</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2528\" class=\"row_heading level0 row2528\" >da84e6385d75149f857b42eaa7944cc8aa5243d6</th>\n                        <td id=\"T_015f1_row2528_col0\" class=\"data row2528 col0\" >125</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2529\" class=\"row_heading level0 row2529\" >fb6f12c3dadd71dd9b0bb928205ad07725ab405a</th>\n                        <td id=\"T_015f1_row2529_col0\" class=\"data row2529 col0\" >125</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2530\" class=\"row_heading level0 row2530\" >99572e9f626731234d8e8152b7ea17ba5e0e45d4</th>\n                        <td id=\"T_015f1_row2530_col0\" class=\"data row2530 col0\" >125</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2531\" class=\"row_heading level0 row2531\" >7ee5b2351de752f630ca848ecac081472aeb5c90</th>\n                        <td id=\"T_015f1_row2531_col0\" class=\"data row2531 col0\" >124</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2532\" class=\"row_heading level0 row2532\" >cea504c31b09c883022852f5514a80619797ba2a</th>\n                        <td id=\"T_015f1_row2532_col0\" class=\"data row2532 col0\" >124</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2533\" class=\"row_heading level0 row2533\" >9bd1eb7aa2a81e402a0a93d842a274ded99f43a9</th>\n                        <td id=\"T_015f1_row2533_col0\" class=\"data row2533 col0\" >124</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2534\" class=\"row_heading level0 row2534\" >ad68698823676a79298038f08f4cb356256078d1</th>\n                        <td id=\"T_015f1_row2534_col0\" class=\"data row2534 col0\" >123</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2535\" class=\"row_heading level0 row2535\" >889a19f2a3289a152e859c9e641871bd87c0cc00</th>\n                        <td id=\"T_015f1_row2535_col0\" class=\"data row2535 col0\" >123</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2536\" class=\"row_heading level0 row2536\" >b0d222444fedd8cfa503f44510f0a8e43de3a9c3</th>\n                        <td id=\"T_015f1_row2536_col0\" class=\"data row2536 col0\" >122</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2537\" class=\"row_heading level0 row2537\" >17d9226bc8ec7d303421625ffc9a09aab08e7c8c</th>\n                        <td id=\"T_015f1_row2537_col0\" class=\"data row2537 col0\" >122</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2538\" class=\"row_heading level0 row2538\" >06d90f19dee17a3694b7b5b479abf48a022344e3</th>\n                        <td id=\"T_015f1_row2538_col0\" class=\"data row2538 col0\" >121</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2539\" class=\"row_heading level0 row2539\" >e78b3d21460255ea0540d3e7704f577393ff9a39</th>\n                        <td id=\"T_015f1_row2539_col0\" class=\"data row2539 col0\" >121</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2540\" class=\"row_heading level0 row2540\" >c26c54c0dfa013b4ee1e15a3f11bcfa8215c0a99</th>\n                        <td id=\"T_015f1_row2540_col0\" class=\"data row2540 col0\" >121</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2541\" class=\"row_heading level0 row2541\" >dd316bece606ea11f5afcf04e7b4af38efae6eb5</th>\n                        <td id=\"T_015f1_row2541_col0\" class=\"data row2541 col0\" >120</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2542\" class=\"row_heading level0 row2542\" >c9698009dde1cf0a7cb3e2393b353b07254fc14c</th>\n                        <td id=\"T_015f1_row2542_col0\" class=\"data row2542 col0\" >120</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2543\" class=\"row_heading level0 row2543\" >b87fe05949e09985822db3cabd1ec735c02d31fd</th>\n                        <td id=\"T_015f1_row2543_col0\" class=\"data row2543 col0\" >120</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2544\" class=\"row_heading level0 row2544\" >210aae0f7502c021be6586e89b0d30bc81b53e05</th>\n                        <td id=\"T_015f1_row2544_col0\" class=\"data row2544 col0\" >120</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2545\" class=\"row_heading level0 row2545\" >7c4dcf8791695cc25f451d39cec85ae3eda0ca5c</th>\n                        <td id=\"T_015f1_row2545_col0\" class=\"data row2545 col0\" >120</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2546\" class=\"row_heading level0 row2546\" >c00af3633602811f307abb40c859319798eb27f9</th>\n                        <td id=\"T_015f1_row2546_col0\" class=\"data row2546 col0\" >119</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2547\" class=\"row_heading level0 row2547\" >86fd557a178828c31c1f7475ff9e17823e1b4d92</th>\n                        <td id=\"T_015f1_row2547_col0\" class=\"data row2547 col0\" >119</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2548\" class=\"row_heading level0 row2548\" >56b177fc414aa7ee499ccfe01a4d3fca7c2c9a68</th>\n                        <td id=\"T_015f1_row2548_col0\" class=\"data row2548 col0\" >118</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2549\" class=\"row_heading level0 row2549\" >8f80bde11cb9134cf4f433c4696ac9051f64fffa</th>\n                        <td id=\"T_015f1_row2549_col0\" class=\"data row2549 col0\" >118</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2550\" class=\"row_heading level0 row2550\" >e556c09ccdde0dbf4805c96dfc90b46133ec4dc9</th>\n                        <td id=\"T_015f1_row2550_col0\" class=\"data row2550 col0\" >118</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2551\" class=\"row_heading level0 row2551\" >3e30d40b1f40522801cbb68a468b92414f1ccf13</th>\n                        <td id=\"T_015f1_row2551_col0\" class=\"data row2551 col0\" >118</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2552\" class=\"row_heading level0 row2552\" >799239299197dc3ca286142cb5f0b145f820c9f0</th>\n                        <td id=\"T_015f1_row2552_col0\" class=\"data row2552 col0\" >117</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2553\" class=\"row_heading level0 row2553\" >27f2fa8a8809bc430be43ea21c8968ed8f98cef7</th>\n                        <td id=\"T_015f1_row2553_col0\" class=\"data row2553 col0\" >117</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2554\" class=\"row_heading level0 row2554\" >065fdf6b71a04ac9f116ef6c48d5ad11aa4f81d2</th>\n                        <td id=\"T_015f1_row2554_col0\" class=\"data row2554 col0\" >116</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2555\" class=\"row_heading level0 row2555\" >094261aa3e3640cce6fb0a8d93c54a6496b5bcae</th>\n                        <td id=\"T_015f1_row2555_col0\" class=\"data row2555 col0\" >116</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2556\" class=\"row_heading level0 row2556\" >3452ab2ab33084dd55f377f015966f9613c56774</th>\n                        <td id=\"T_015f1_row2556_col0\" class=\"data row2556 col0\" >115</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2557\" class=\"row_heading level0 row2557\" >813e0bb0b1c949dd555a48dd51653de0bd85412c</th>\n                        <td id=\"T_015f1_row2557_col0\" class=\"data row2557 col0\" >115</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2558\" class=\"row_heading level0 row2558\" >bebe004b129b23568a3a835a79d253e644b45494</th>\n                        <td id=\"T_015f1_row2558_col0\" class=\"data row2558 col0\" >115</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2559\" class=\"row_heading level0 row2559\" >d2641b62c79c7cc71c382d23371ad508bd80e3b0</th>\n                        <td id=\"T_015f1_row2559_col0\" class=\"data row2559 col0\" >113</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2560\" class=\"row_heading level0 row2560\" >15187bff6748498998d5a2ff628d4dfda2cd4d15</th>\n                        <td id=\"T_015f1_row2560_col0\" class=\"data row2560 col0\" >113</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2561\" class=\"row_heading level0 row2561\" >fa8ae0a52c611269b0b700f3b4497821eff0b2cb</th>\n                        <td id=\"T_015f1_row2561_col0\" class=\"data row2561 col0\" >113</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2562\" class=\"row_heading level0 row2562\" >37607426c5e4ce3a1a8121be8c473d665662fcc2</th>\n                        <td id=\"T_015f1_row2562_col0\" class=\"data row2562 col0\" >112</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2563\" class=\"row_heading level0 row2563\" >9537a11721507dd679188a0f165abdc43a59fae5</th>\n                        <td id=\"T_015f1_row2563_col0\" class=\"data row2563 col0\" >112</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2564\" class=\"row_heading level0 row2564\" >5e186c0e66eedb445b5a7624612799b36f17187c</th>\n                        <td id=\"T_015f1_row2564_col0\" class=\"data row2564 col0\" >112</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2565\" class=\"row_heading level0 row2565\" >e55fea36812d3a9a243e9a7f3ef354ebdd048bee</th>\n                        <td id=\"T_015f1_row2565_col0\" class=\"data row2565 col0\" >111</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2566\" class=\"row_heading level0 row2566\" >0934e792a972973d7fd71928de23cdd315b518f0</th>\n                        <td id=\"T_015f1_row2566_col0\" class=\"data row2566 col0\" >111</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2567\" class=\"row_heading level0 row2567\" >35cc809b5b9da0d38381bb923e6981c9ead7015f</th>\n                        <td id=\"T_015f1_row2567_col0\" class=\"data row2567 col0\" >110</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2568\" class=\"row_heading level0 row2568\" >97b67a5970d725abcc5a6c0a6245cc1caa735964</th>\n                        <td id=\"T_015f1_row2568_col0\" class=\"data row2568 col0\" >110</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2569\" class=\"row_heading level0 row2569\" >c5cf94767b7956af38a839d7d44cd44b6a326eef</th>\n                        <td id=\"T_015f1_row2569_col0\" class=\"data row2569 col0\" >109</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2570\" class=\"row_heading level0 row2570\" >74b0be34af055c47d5e030174251a196fbc705f8</th>\n                        <td id=\"T_015f1_row2570_col0\" class=\"data row2570 col0\" >108</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2571\" class=\"row_heading level0 row2571\" >fc066d5d71a1c9030366e1413811994ea5b52674</th>\n                        <td id=\"T_015f1_row2571_col0\" class=\"data row2571 col0\" >108</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2572\" class=\"row_heading level0 row2572\" >d5006b20d1fda70da192c8d05307ef0e1ca9159f</th>\n                        <td id=\"T_015f1_row2572_col0\" class=\"data row2572 col0\" >108</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2573\" class=\"row_heading level0 row2573\" >abc74aedce66267d441a09aa1f4e0d2019c1297a</th>\n                        <td id=\"T_015f1_row2573_col0\" class=\"data row2573 col0\" >107</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2574\" class=\"row_heading level0 row2574\" >87e471ebdc46fbadaa411ac0e444ab294a5cd345</th>\n                        <td id=\"T_015f1_row2574_col0\" class=\"data row2574 col0\" >107</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2575\" class=\"row_heading level0 row2575\" >a107122e6a880623705d91b8bd5f71ea3868ce42</th>\n                        <td id=\"T_015f1_row2575_col0\" class=\"data row2575 col0\" >107</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2576\" class=\"row_heading level0 row2576\" >c71fd41f4b26c1f379535196a205ef8627c4eb7a</th>\n                        <td id=\"T_015f1_row2576_col0\" class=\"data row2576 col0\" >107</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2577\" class=\"row_heading level0 row2577\" >632fdde0fa66a26e4bdb4a8422383631658d6f4a</th>\n                        <td id=\"T_015f1_row2577_col0\" class=\"data row2577 col0\" >106</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2578\" class=\"row_heading level0 row2578\" >bb5737a224a08eea6d553661bf55dd8e638aec13</th>\n                        <td id=\"T_015f1_row2578_col0\" class=\"data row2578 col0\" >106</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2579\" class=\"row_heading level0 row2579\" >80e77890b1c96fead9e8f132d939e5e83214ad3a</th>\n                        <td id=\"T_015f1_row2579_col0\" class=\"data row2579 col0\" >106</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2580\" class=\"row_heading level0 row2580\" >47ffe294f1cc958c5e8707910cc4a4fbe32c52c4</th>\n                        <td id=\"T_015f1_row2580_col0\" class=\"data row2580 col0\" >105</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2581\" class=\"row_heading level0 row2581\" >b7c0e2ebea031e689b1879fef0428e4dc84c4f84</th>\n                        <td id=\"T_015f1_row2581_col0\" class=\"data row2581 col0\" >105</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2582\" class=\"row_heading level0 row2582\" >0d12cf08b8b0776697f1bb7bf6bffaea9f43c2ad</th>\n                        <td id=\"T_015f1_row2582_col0\" class=\"data row2582 col0\" >105</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2583\" class=\"row_heading level0 row2583\" >19018dd66fa2c658a8b9937f2e8062a508cacc97</th>\n                        <td id=\"T_015f1_row2583_col0\" class=\"data row2583 col0\" >105</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2584\" class=\"row_heading level0 row2584\" >8a57f71e1d4f20308bd6f4114616b1b598409c76</th>\n                        <td id=\"T_015f1_row2584_col0\" class=\"data row2584 col0\" >104</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2585\" class=\"row_heading level0 row2585\" >edef8993a17445888da031d8d1c6a20016bc1ebb</th>\n                        <td id=\"T_015f1_row2585_col0\" class=\"data row2585 col0\" >104</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2586\" class=\"row_heading level0 row2586\" >98a30c53639727fd1f43c9ab4237c3c3f6153ada</th>\n                        <td id=\"T_015f1_row2586_col0\" class=\"data row2586 col0\" >104</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2587\" class=\"row_heading level0 row2587\" >8dbd7f54204999124f121568c5e465656961d4b5</th>\n                        <td id=\"T_015f1_row2587_col0\" class=\"data row2587 col0\" >104</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2588\" class=\"row_heading level0 row2588\" >88fd3edecfa918b21a7e259b2d71325592885c20</th>\n                        <td id=\"T_015f1_row2588_col0\" class=\"data row2588 col0\" >104</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2589\" class=\"row_heading level0 row2589\" >1fd39a2501fa130ffc533d30976967ddbbe771d2</th>\n                        <td id=\"T_015f1_row2589_col0\" class=\"data row2589 col0\" >103</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2590\" class=\"row_heading level0 row2590\" >b2ce01476d4f985ee9d0518d1eadf9ed18d236ad</th>\n                        <td id=\"T_015f1_row2590_col0\" class=\"data row2590 col0\" >103</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2591\" class=\"row_heading level0 row2591\" >0bf514671297a9f318921eb898562e5216f6f029</th>\n                        <td id=\"T_015f1_row2591_col0\" class=\"data row2591 col0\" >103</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2592\" class=\"row_heading level0 row2592\" >f22e083cd35057cf9baddd88367c190a551b8b6c</th>\n                        <td id=\"T_015f1_row2592_col0\" class=\"data row2592 col0\" >103</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2593\" class=\"row_heading level0 row2593\" >70c82d5c2779887321b1a1e8234ffe85c7e99345</th>\n                        <td id=\"T_015f1_row2593_col0\" class=\"data row2593 col0\" >103</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2594\" class=\"row_heading level0 row2594\" >f7a56f538e32e5281f2ecb4a21388fe370efce49</th>\n                        <td id=\"T_015f1_row2594_col0\" class=\"data row2594 col0\" >102</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2595\" class=\"row_heading level0 row2595\" >2bf7901bc0dda2bba7dece34aef2be5d14aacfff</th>\n                        <td id=\"T_015f1_row2595_col0\" class=\"data row2595 col0\" >102</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2596\" class=\"row_heading level0 row2596\" >5f4a55f5c1e14630f2910f635839bba8f3243cc0</th>\n                        <td id=\"T_015f1_row2596_col0\" class=\"data row2596 col0\" >101</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2597\" class=\"row_heading level0 row2597\" >269c76938d834e0b48aaf928235bb31ee81227fc</th>\n                        <td id=\"T_015f1_row2597_col0\" class=\"data row2597 col0\" >101</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2598\" class=\"row_heading level0 row2598\" >00ef32991244ca6ce16c9ee3b910886401766bf6</th>\n                        <td id=\"T_015f1_row2598_col0\" class=\"data row2598 col0\" >100</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2599\" class=\"row_heading level0 row2599\" >706ddb5ea25d791f8075d4b1060ab847f05a154b</th>\n                        <td id=\"T_015f1_row2599_col0\" class=\"data row2599 col0\" >100</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2600\" class=\"row_heading level0 row2600\" >b07b35402a91100aecd3b6435f3f954756e2d067</th>\n                        <td id=\"T_015f1_row2600_col0\" class=\"data row2600 col0\" >100</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2601\" class=\"row_heading level0 row2601\" >221155a4a3415973de011fac33e795d1ec7929a6</th>\n                        <td id=\"T_015f1_row2601_col0\" class=\"data row2601 col0\" >99</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2602\" class=\"row_heading level0 row2602\" >7d734dff48985a4b956285e0c7e76d4d119bb804</th>\n                        <td id=\"T_015f1_row2602_col0\" class=\"data row2602 col0\" >99</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2603\" class=\"row_heading level0 row2603\" >e7ed0b40aed71f9eadb06c7c92a33a53391bdd98</th>\n                        <td id=\"T_015f1_row2603_col0\" class=\"data row2603 col0\" >97</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2604\" class=\"row_heading level0 row2604\" >8bfd9b56e6d9f57a883678c6ef879035b4ec4d05</th>\n                        <td id=\"T_015f1_row2604_col0\" class=\"data row2604 col0\" >97</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2605\" class=\"row_heading level0 row2605\" >a9a169f2f744a0a95675d78ecdfbdb158e1d5550</th>\n                        <td id=\"T_015f1_row2605_col0\" class=\"data row2605 col0\" >97</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2606\" class=\"row_heading level0 row2606\" >2410f46bd896554a8d4f5aeba525f29443790926</th>\n                        <td id=\"T_015f1_row2606_col0\" class=\"data row2606 col0\" >96</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2607\" class=\"row_heading level0 row2607\" >21d6b5544a59eac82f9bb8bf54105a41958adaf8</th>\n                        <td id=\"T_015f1_row2607_col0\" class=\"data row2607 col0\" >96</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2608\" class=\"row_heading level0 row2608\" >b223b9b21a9050c538396b0315191d9359503268</th>\n                        <td id=\"T_015f1_row2608_col0\" class=\"data row2608 col0\" >96</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2609\" class=\"row_heading level0 row2609\" >99842dfb55ae0ac9b483a8dbf456bb47e04c8eed</th>\n                        <td id=\"T_015f1_row2609_col0\" class=\"data row2609 col0\" >95</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2610\" class=\"row_heading level0 row2610\" >ca1b1ddbb06410ff4db1293fa32fa91922348cb6</th>\n                        <td id=\"T_015f1_row2610_col0\" class=\"data row2610 col0\" >95</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2611\" class=\"row_heading level0 row2611\" >b612a4ee75b4d7a09680de0afcda80a7166ed339</th>\n                        <td id=\"T_015f1_row2611_col0\" class=\"data row2611 col0\" >94</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2612\" class=\"row_heading level0 row2612\" >773c30330a33afa4f75b1554363f9df6b738bdff</th>\n                        <td id=\"T_015f1_row2612_col0\" class=\"data row2612 col0\" >94</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2613\" class=\"row_heading level0 row2613\" >adb7b69f9b8c690c9a0c8b81126f653cb6f32c72</th>\n                        <td id=\"T_015f1_row2613_col0\" class=\"data row2613 col0\" >94</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2614\" class=\"row_heading level0 row2614\" >d793c66d009a89138b50ebc2def0e6450f0dd28d</th>\n                        <td id=\"T_015f1_row2614_col0\" class=\"data row2614 col0\" >94</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2615\" class=\"row_heading level0 row2615\" >4553b41f16148a8fec22d28cfd8c1d1c5f66f81e</th>\n                        <td id=\"T_015f1_row2615_col0\" class=\"data row2615 col0\" >94</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2616\" class=\"row_heading level0 row2616\" >06cc0f28d97d689edb4736a5762df45a73f51856</th>\n                        <td id=\"T_015f1_row2616_col0\" class=\"data row2616 col0\" >94</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2617\" class=\"row_heading level0 row2617\" >1a0ece7800a02f2ae910f22f5ac7a960403509ff</th>\n                        <td id=\"T_015f1_row2617_col0\" class=\"data row2617 col0\" >93</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2618\" class=\"row_heading level0 row2618\" >5a33994e148b812886e0b87b4cdabcfb4a26df91</th>\n                        <td id=\"T_015f1_row2618_col0\" class=\"data row2618 col0\" >93</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2619\" class=\"row_heading level0 row2619\" >22af5f668c86451c027a6d670d40611cbabe2f1b</th>\n                        <td id=\"T_015f1_row2619_col0\" class=\"data row2619 col0\" >93</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2620\" class=\"row_heading level0 row2620\" >6cb1239f09eeb6f6b9c4f167980595f9197777e7</th>\n                        <td id=\"T_015f1_row2620_col0\" class=\"data row2620 col0\" >92</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2621\" class=\"row_heading level0 row2621\" >eea856476cd08db556a6c52a93f44acd5ec1302d</th>\n                        <td id=\"T_015f1_row2621_col0\" class=\"data row2621 col0\" >91</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2622\" class=\"row_heading level0 row2622\" >971ed0b2533e0773971b24096751f4470d6c12c0</th>\n                        <td id=\"T_015f1_row2622_col0\" class=\"data row2622 col0\" >91</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2623\" class=\"row_heading level0 row2623\" >34e9d0ad1d91736e3487f1c2ec13322a79002f69</th>\n                        <td id=\"T_015f1_row2623_col0\" class=\"data row2623 col0\" >90</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2624\" class=\"row_heading level0 row2624\" >7f5025a9935ab1d631aeb08a1197f51318eca8f4</th>\n                        <td id=\"T_015f1_row2624_col0\" class=\"data row2624 col0\" >90</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2625\" class=\"row_heading level0 row2625\" >67cd7f4a2de0ddb28e5b779afc3fa798492baa16</th>\n                        <td id=\"T_015f1_row2625_col0\" class=\"data row2625 col0\" >90</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2626\" class=\"row_heading level0 row2626\" >d6f8e0a20a1a65b0ce10a3d58c3f3a8758a95e6f</th>\n                        <td id=\"T_015f1_row2626_col0\" class=\"data row2626 col0\" >89</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2627\" class=\"row_heading level0 row2627\" >a43425de6069b069e47428dc1914399cbb560afc</th>\n                        <td id=\"T_015f1_row2627_col0\" class=\"data row2627 col0\" >89</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2628\" class=\"row_heading level0 row2628\" >62fc1176d6b4e0c6819c6d86bac6bac9f71f50bf</th>\n                        <td id=\"T_015f1_row2628_col0\" class=\"data row2628 col0\" >89</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2629\" class=\"row_heading level0 row2629\" >830df1af2af3d48daff118018ca4cc6f2232d83f</th>\n                        <td id=\"T_015f1_row2629_col0\" class=\"data row2629 col0\" >88</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2630\" class=\"row_heading level0 row2630\" >688f6028dee93047841761574347a8ed32f67053</th>\n                        <td id=\"T_015f1_row2630_col0\" class=\"data row2630 col0\" >88</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2631\" class=\"row_heading level0 row2631\" >4bc70a7c3ca3685b872f883926a0aa1a239eb46e</th>\n                        <td id=\"T_015f1_row2631_col0\" class=\"data row2631 col0\" >88</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2632\" class=\"row_heading level0 row2632\" >8299cd39d69e1aec8f37ed2f895be4b9997e7a56</th>\n                        <td id=\"T_015f1_row2632_col0\" class=\"data row2632 col0\" >88</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2633\" class=\"row_heading level0 row2633\" >f106046dfb6fec5bbd2d7f35e822b116a76be499</th>\n                        <td id=\"T_015f1_row2633_col0\" class=\"data row2633 col0\" >88</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2634\" class=\"row_heading level0 row2634\" >46137bab7686be3f0f64ad41960fb572158a0c0b</th>\n                        <td id=\"T_015f1_row2634_col0\" class=\"data row2634 col0\" >88</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2635\" class=\"row_heading level0 row2635\" >707300ac762f102cf8f169daa67769cc5bab15f4</th>\n                        <td id=\"T_015f1_row2635_col0\" class=\"data row2635 col0\" >88</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2636\" class=\"row_heading level0 row2636\" >0623f5cddb7aa74dd00c6dc774d6c9c5ad1567e4</th>\n                        <td id=\"T_015f1_row2636_col0\" class=\"data row2636 col0\" >87</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2637\" class=\"row_heading level0 row2637\" >a1da09758a3245acafd3ac5d828287ab927fc733</th>\n                        <td id=\"T_015f1_row2637_col0\" class=\"data row2637 col0\" >87</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2638\" class=\"row_heading level0 row2638\" >49ecf220071585a717ec9bb40108a2fbc2509ccf</th>\n                        <td id=\"T_015f1_row2638_col0\" class=\"data row2638 col0\" >87</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2639\" class=\"row_heading level0 row2639\" >cc5b5ef3f216117eca5e3f88a1df41ed33e96d79</th>\n                        <td id=\"T_015f1_row2639_col0\" class=\"data row2639 col0\" >86</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2640\" class=\"row_heading level0 row2640\" >f6b4a651fe2db1c68c3652da07f7869453adfee8</th>\n                        <td id=\"T_015f1_row2640_col0\" class=\"data row2640 col0\" >86</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2641\" class=\"row_heading level0 row2641\" >fcc0320cf5f5868665bb554bc324b7b75673b5a9</th>\n                        <td id=\"T_015f1_row2641_col0\" class=\"data row2641 col0\" >86</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2642\" class=\"row_heading level0 row2642\" >7f92ad32ffcc6c4d36b693d6a5284be2ae510269</th>\n                        <td id=\"T_015f1_row2642_col0\" class=\"data row2642 col0\" >85</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2643\" class=\"row_heading level0 row2643\" >9a08f3c0cf309d67555c8f9c6f64686b9ba2283d</th>\n                        <td id=\"T_015f1_row2643_col0\" class=\"data row2643 col0\" >85</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2644\" class=\"row_heading level0 row2644\" >7d57f12b169290bc3fcfa340bc2cc7b04b1a1a19</th>\n                        <td id=\"T_015f1_row2644_col0\" class=\"data row2644 col0\" >85</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2645\" class=\"row_heading level0 row2645\" >f9ad533f128dc8123593be5e9e195b9d1ce01bbb</th>\n                        <td id=\"T_015f1_row2645_col0\" class=\"data row2645 col0\" >85</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2646\" class=\"row_heading level0 row2646\" >2680567793f637d24b28d2ee2027ca0eb20c9bbd</th>\n                        <td id=\"T_015f1_row2646_col0\" class=\"data row2646 col0\" >85</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2647\" class=\"row_heading level0 row2647\" >cd091c87cd6f294ecdb38249bf553caf2b537028</th>\n                        <td id=\"T_015f1_row2647_col0\" class=\"data row2647 col0\" >84</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2648\" class=\"row_heading level0 row2648\" >3160e934656e963e9e0043b2f4f90e2648bf743d</th>\n                        <td id=\"T_015f1_row2648_col0\" class=\"data row2648 col0\" >84</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2649\" class=\"row_heading level0 row2649\" >02d93bd28ad16b985328fa798b164c54bd8dcc0c</th>\n                        <td id=\"T_015f1_row2649_col0\" class=\"data row2649 col0\" >84</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2650\" class=\"row_heading level0 row2650\" >11a80ab2bb8ddc6641f4d9eae1503010c7b013dc</th>\n                        <td id=\"T_015f1_row2650_col0\" class=\"data row2650 col0\" >84</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2651\" class=\"row_heading level0 row2651\" >5a7817b3d965f0d521275787c40edbf9ff42613d</th>\n                        <td id=\"T_015f1_row2651_col0\" class=\"data row2651 col0\" >84</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2652\" class=\"row_heading level0 row2652\" >b622e97b82a98b2217d080a7b7fc849faec33a56</th>\n                        <td id=\"T_015f1_row2652_col0\" class=\"data row2652 col0\" >83</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2653\" class=\"row_heading level0 row2653\" >32876aae2c1ee23c72dc7037cc935143fb8e80c3</th>\n                        <td id=\"T_015f1_row2653_col0\" class=\"data row2653 col0\" >83</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2654\" class=\"row_heading level0 row2654\" >85f187bfc2e3a1eab8027c925690679c1de6b5c7</th>\n                        <td id=\"T_015f1_row2654_col0\" class=\"data row2654 col0\" >83</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2655\" class=\"row_heading level0 row2655\" >f2a84dd2787de637c15b5081967b6313002d6081</th>\n                        <td id=\"T_015f1_row2655_col0\" class=\"data row2655 col0\" >83</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2656\" class=\"row_heading level0 row2656\" >96ed515872626dd29420de3a4d59600bf9db3e3b</th>\n                        <td id=\"T_015f1_row2656_col0\" class=\"data row2656 col0\" >82</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2657\" class=\"row_heading level0 row2657\" >52991874f27e29074381dc2b6cf4267ba079564b</th>\n                        <td id=\"T_015f1_row2657_col0\" class=\"data row2657 col0\" >82</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2658\" class=\"row_heading level0 row2658\" >895a5f8dfffe12a521d717e241b45cbbf4f38bb8</th>\n                        <td id=\"T_015f1_row2658_col0\" class=\"data row2658 col0\" >82</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2659\" class=\"row_heading level0 row2659\" >1821f71043b492c94284d456f887f2ff8b504b87</th>\n                        <td id=\"T_015f1_row2659_col0\" class=\"data row2659 col0\" >82</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2660\" class=\"row_heading level0 row2660\" >bf7591096c990ad73b5d96231526185d5db9969e</th>\n                        <td id=\"T_015f1_row2660_col0\" class=\"data row2660 col0\" >82</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2661\" class=\"row_heading level0 row2661\" >9a41234b1a729a89411f5205c68063b620f45542</th>\n                        <td id=\"T_015f1_row2661_col0\" class=\"data row2661 col0\" >82</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2662\" class=\"row_heading level0 row2662\" >a6675ce58f3439a64989240a7a48748d16074d25</th>\n                        <td id=\"T_015f1_row2662_col0\" class=\"data row2662 col0\" >81</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2663\" class=\"row_heading level0 row2663\" >e0410f5000c7aa629fcc46828dda5cbd279f37bc</th>\n                        <td id=\"T_015f1_row2663_col0\" class=\"data row2663 col0\" >81</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2664\" class=\"row_heading level0 row2664\" >27ec115a6fee62c0060b017dbf266860b9abb9c5</th>\n                        <td id=\"T_015f1_row2664_col0\" class=\"data row2664 col0\" >81</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2665\" class=\"row_heading level0 row2665\" >d0c16a18d010da721538e9b20eb9ae0fec2181c6</th>\n                        <td id=\"T_015f1_row2665_col0\" class=\"data row2665 col0\" >81</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2666\" class=\"row_heading level0 row2666\" >9a7a7a676cb3f488ae43e08366af65106661994d</th>\n                        <td id=\"T_015f1_row2666_col0\" class=\"data row2666 col0\" >81</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2667\" class=\"row_heading level0 row2667\" >81318bd14267a6c6014736348c97ab2b1ce242f9</th>\n                        <td id=\"T_015f1_row2667_col0\" class=\"data row2667 col0\" >81</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2668\" class=\"row_heading level0 row2668\" >893a462390f15c948a93152549f7fdbfa7861b79</th>\n                        <td id=\"T_015f1_row2668_col0\" class=\"data row2668 col0\" >80</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2669\" class=\"row_heading level0 row2669\" >16e01408e4c6738a1e04b98d0885b2b7d5a58cb6</th>\n                        <td id=\"T_015f1_row2669_col0\" class=\"data row2669 col0\" >80</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2670\" class=\"row_heading level0 row2670\" >434ae9dda2d872b05e7b522a8bb216fdd9683381</th>\n                        <td id=\"T_015f1_row2670_col0\" class=\"data row2670 col0\" >80</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2671\" class=\"row_heading level0 row2671\" >cbbb9d43cb100a0ba065792380de6473385b49f9</th>\n                        <td id=\"T_015f1_row2671_col0\" class=\"data row2671 col0\" >80</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2672\" class=\"row_heading level0 row2672\" >95c79aa8d704c213ba18df576291880e0e6b670b</th>\n                        <td id=\"T_015f1_row2672_col0\" class=\"data row2672 col0\" >80</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2673\" class=\"row_heading level0 row2673\" >dde8c039fff88c696884d447073317b15d067ddd</th>\n                        <td id=\"T_015f1_row2673_col0\" class=\"data row2673 col0\" >80</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2674\" class=\"row_heading level0 row2674\" >a075b08b3dc6addf40cb7760227a21ea33ae2e99</th>\n                        <td id=\"T_015f1_row2674_col0\" class=\"data row2674 col0\" >80</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2675\" class=\"row_heading level0 row2675\" >313501ff39fcf6b2b8694c6447a932f4ad5b8294</th>\n                        <td id=\"T_015f1_row2675_col0\" class=\"data row2675 col0\" >79</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2676\" class=\"row_heading level0 row2676\" >5ece8a3b7ec6abaa47882274db7339f9bf3b0516</th>\n                        <td id=\"T_015f1_row2676_col0\" class=\"data row2676 col0\" >79</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2677\" class=\"row_heading level0 row2677\" >fe308dfc915f33c4217763c942ece65760cdf259</th>\n                        <td id=\"T_015f1_row2677_col0\" class=\"data row2677 col0\" >79</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2678\" class=\"row_heading level0 row2678\" >a3871bcf1178a37b8928464f49f4c548e675c249</th>\n                        <td id=\"T_015f1_row2678_col0\" class=\"data row2678 col0\" >79</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2679\" class=\"row_heading level0 row2679\" >938f8e1845eb9c1fbff3156b68d27d62a7403afb</th>\n                        <td id=\"T_015f1_row2679_col0\" class=\"data row2679 col0\" >79</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2680\" class=\"row_heading level0 row2680\" >e9ea378299b4d46d5c1be6e3e9933c4a2f5f287d</th>\n                        <td id=\"T_015f1_row2680_col0\" class=\"data row2680 col0\" >79</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2681\" class=\"row_heading level0 row2681\" >98079d46cd9d70701b21fb9a379592f289f0dd20</th>\n                        <td id=\"T_015f1_row2681_col0\" class=\"data row2681 col0\" >79</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2682\" class=\"row_heading level0 row2682\" >457865718e9802cfeac106fa1987029bacee72e5</th>\n                        <td id=\"T_015f1_row2682_col0\" class=\"data row2682 col0\" >79</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2683\" class=\"row_heading level0 row2683\" >e779cfcd369514b02afb6e4e491c28d35397790e</th>\n                        <td id=\"T_015f1_row2683_col0\" class=\"data row2683 col0\" >79</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2684\" class=\"row_heading level0 row2684\" >18bfb534f4ec8abf8f577129cd2458f16adbff4d</th>\n                        <td id=\"T_015f1_row2684_col0\" class=\"data row2684 col0\" >78</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2685\" class=\"row_heading level0 row2685\" >17439fb4d3f37f777a143a70973184ef83d535e8</th>\n                        <td id=\"T_015f1_row2685_col0\" class=\"data row2685 col0\" >78</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2686\" class=\"row_heading level0 row2686\" >6e4751a16544a9701399f642f56ddf9ea3088753</th>\n                        <td id=\"T_015f1_row2686_col0\" class=\"data row2686 col0\" >78</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2687\" class=\"row_heading level0 row2687\" >14a35f3694bf137fd8d33820e4a2d69be4f3ce09</th>\n                        <td id=\"T_015f1_row2687_col0\" class=\"data row2687 col0\" >77</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2688\" class=\"row_heading level0 row2688\" >2161e33f652cd7f564d9d98ecb7dedb9901746be</th>\n                        <td id=\"T_015f1_row2688_col0\" class=\"data row2688 col0\" >77</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2689\" class=\"row_heading level0 row2689\" >66ab970025b325bfc8e08bb4fb43f37928df95ab</th>\n                        <td id=\"T_015f1_row2689_col0\" class=\"data row2689 col0\" >77</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2690\" class=\"row_heading level0 row2690\" >92e78d9181f3119931b299ca739b8e8f24f602e7</th>\n                        <td id=\"T_015f1_row2690_col0\" class=\"data row2690 col0\" >77</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2691\" class=\"row_heading level0 row2691\" >d90cf5bfd87e44e28d9e6fe9b66aff564b900652</th>\n                        <td id=\"T_015f1_row2691_col0\" class=\"data row2691 col0\" >77</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2692\" class=\"row_heading level0 row2692\" >0a76cf3bc4845b2a4fce4d5c2d87b7fa9cbf4962</th>\n                        <td id=\"T_015f1_row2692_col0\" class=\"data row2692 col0\" >76</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2693\" class=\"row_heading level0 row2693\" >1e9f53675d1d5600b59e64d28cb0d58716f118cd</th>\n                        <td id=\"T_015f1_row2693_col0\" class=\"data row2693 col0\" >76</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2694\" class=\"row_heading level0 row2694\" >f58569083c703aba77b3b38e7daa9139fa83cc18</th>\n                        <td id=\"T_015f1_row2694_col0\" class=\"data row2694 col0\" >76</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2695\" class=\"row_heading level0 row2695\" >b6af8823fc4ae3ce514ee8de422389a993d413a7</th>\n                        <td id=\"T_015f1_row2695_col0\" class=\"data row2695 col0\" >76</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2696\" class=\"row_heading level0 row2696\" >ce5e6890c5e19ef362677a09d99f3a2ec183acb7</th>\n                        <td id=\"T_015f1_row2696_col0\" class=\"data row2696 col0\" >75</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2697\" class=\"row_heading level0 row2697\" >0cd20f8990ce345c1a5294cc5a711ab308a40ba7</th>\n                        <td id=\"T_015f1_row2697_col0\" class=\"data row2697 col0\" >75</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2698\" class=\"row_heading level0 row2698\" >5100cc5e1e2732cf5d61d56a0ebe44bd27d69849</th>\n                        <td id=\"T_015f1_row2698_col0\" class=\"data row2698 col0\" >75</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2699\" class=\"row_heading level0 row2699\" >b24c4ee54d148c92281167f8551b57460ec3cedb</th>\n                        <td id=\"T_015f1_row2699_col0\" class=\"data row2699 col0\" >75</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2700\" class=\"row_heading level0 row2700\" >e912b6bc7d5923232a845db598007ddacd287076</th>\n                        <td id=\"T_015f1_row2700_col0\" class=\"data row2700 col0\" >75</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2701\" class=\"row_heading level0 row2701\" >3cee3853d021900a93c2d2b70ccf7548cfcbf802</th>\n                        <td id=\"T_015f1_row2701_col0\" class=\"data row2701 col0\" >74</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2702\" class=\"row_heading level0 row2702\" >c6067c93dea3f36d290e2f01d46f24cec5fc1685</th>\n                        <td id=\"T_015f1_row2702_col0\" class=\"data row2702 col0\" >74</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2703\" class=\"row_heading level0 row2703\" >7a539d7ef9c0a69fd5dd0b09e98aeee85ec0194b</th>\n                        <td id=\"T_015f1_row2703_col0\" class=\"data row2703 col0\" >74</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2704\" class=\"row_heading level0 row2704\" >e67d5518adefc802b2035b4661b4669ad92f0c72</th>\n                        <td id=\"T_015f1_row2704_col0\" class=\"data row2704 col0\" >74</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2705\" class=\"row_heading level0 row2705\" >8df60a6c831e2076453e6d448a8370d92eafb34e</th>\n                        <td id=\"T_015f1_row2705_col0\" class=\"data row2705 col0\" >73</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2706\" class=\"row_heading level0 row2706\" >43b75ab26009a503bb7cc0b4776edc6c27621ea7</th>\n                        <td id=\"T_015f1_row2706_col0\" class=\"data row2706 col0\" >73</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2707\" class=\"row_heading level0 row2707\" >49142afc5b5219e7c2bf6fc1a6ce3a286c8bb0b7</th>\n                        <td id=\"T_015f1_row2707_col0\" class=\"data row2707 col0\" >73</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2708\" class=\"row_heading level0 row2708\" >8c424cbdab5621009600ff48d74cf080bc2f9bcf</th>\n                        <td id=\"T_015f1_row2708_col0\" class=\"data row2708 col0\" >73</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2709\" class=\"row_heading level0 row2709\" >777dbde450a0f4ace6e7e45c7d22d3c16bd057b6</th>\n                        <td id=\"T_015f1_row2709_col0\" class=\"data row2709 col0\" >73</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2710\" class=\"row_heading level0 row2710\" >199a5edde2cd0592603a1bea719308c5e6345ed2</th>\n                        <td id=\"T_015f1_row2710_col0\" class=\"data row2710 col0\" >73</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2711\" class=\"row_heading level0 row2711\" >c7c9f22a3eb58d89105ba0b6cf634801014dd7c0</th>\n                        <td id=\"T_015f1_row2711_col0\" class=\"data row2711 col0\" >72</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2712\" class=\"row_heading level0 row2712\" >5e425ae7ba83195ed4d9c1942457e36a00442159</th>\n                        <td id=\"T_015f1_row2712_col0\" class=\"data row2712 col0\" >72</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2713\" class=\"row_heading level0 row2713\" >5d07733567ef23dfa209c0ab4aba206376baf551</th>\n                        <td id=\"T_015f1_row2713_col0\" class=\"data row2713 col0\" >72</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2714\" class=\"row_heading level0 row2714\" >0a0019f221cfd4bd19b49fd885213cef42df4b59</th>\n                        <td id=\"T_015f1_row2714_col0\" class=\"data row2714 col0\" >72</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2715\" class=\"row_heading level0 row2715\" >3890f542ddf35f45e48bf1d9ec2e4e825b220fba</th>\n                        <td id=\"T_015f1_row2715_col0\" class=\"data row2715 col0\" >72</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2716\" class=\"row_heading level0 row2716\" >4998080241e4bbd2ac069b04297b47303b8aae55</th>\n                        <td id=\"T_015f1_row2716_col0\" class=\"data row2716 col0\" >72</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2717\" class=\"row_heading level0 row2717\" >c3403babce8901fd7a22f2752ee27e55c93137ef</th>\n                        <td id=\"T_015f1_row2717_col0\" class=\"data row2717 col0\" >71</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2718\" class=\"row_heading level0 row2718\" >24b961e4f1ed12c76ba395cbedcf4fc0d2998496</th>\n                        <td id=\"T_015f1_row2718_col0\" class=\"data row2718 col0\" >71</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2719\" class=\"row_heading level0 row2719\" >569e7eb08fbdf9abeefe726c3ffe0d35268baa68</th>\n                        <td id=\"T_015f1_row2719_col0\" class=\"data row2719 col0\" >71</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2720\" class=\"row_heading level0 row2720\" >1b02b40d675de9b84099b0ac575e9f6c51d677bd</th>\n                        <td id=\"T_015f1_row2720_col0\" class=\"data row2720 col0\" >71</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2721\" class=\"row_heading level0 row2721\" >42bcd038e8adcce6e5088a12e1070264472e2ae1</th>\n                        <td id=\"T_015f1_row2721_col0\" class=\"data row2721 col0\" >70</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2722\" class=\"row_heading level0 row2722\" >cd8565397e4119e65d15af1123a06c69d5e25326</th>\n                        <td id=\"T_015f1_row2722_col0\" class=\"data row2722 col0\" >70</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2723\" class=\"row_heading level0 row2723\" >216f1c4dfe4d01420d2962bb00522546fbb7531c</th>\n                        <td id=\"T_015f1_row2723_col0\" class=\"data row2723 col0\" >70</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2724\" class=\"row_heading level0 row2724\" >b62dbe8ab1dbe1ce22d4bd914ed93c73c7e6b61c</th>\n                        <td id=\"T_015f1_row2724_col0\" class=\"data row2724 col0\" >70</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2725\" class=\"row_heading level0 row2725\" >5f1a8cdeedb83d34d9ebfb96c9d13bd5397b68fe</th>\n                        <td id=\"T_015f1_row2725_col0\" class=\"data row2725 col0\" >70</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2726\" class=\"row_heading level0 row2726\" >3555debb783bca7394b2124e3bdd0d9723160d3a</th>\n                        <td id=\"T_015f1_row2726_col0\" class=\"data row2726 col0\" >69</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2727\" class=\"row_heading level0 row2727\" >7fefa88aa0d8339dec6afc7bec57c5d9cec84ee2</th>\n                        <td id=\"T_015f1_row2727_col0\" class=\"data row2727 col0\" >69</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2728\" class=\"row_heading level0 row2728\" >a6e2877d09bc81bb186367ac7e002950d197d503</th>\n                        <td id=\"T_015f1_row2728_col0\" class=\"data row2728 col0\" >69</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2729\" class=\"row_heading level0 row2729\" >704e3ef61c43d44f07859b55130dd259be76f303</th>\n                        <td id=\"T_015f1_row2729_col0\" class=\"data row2729 col0\" >69</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2730\" class=\"row_heading level0 row2730\" >99c31623db72aada91c1f9fbaade4b5b4160b4d9</th>\n                        <td id=\"T_015f1_row2730_col0\" class=\"data row2730 col0\" >69</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2731\" class=\"row_heading level0 row2731\" >e2878b2d2e3e7000d890097673ef90a536d7d633</th>\n                        <td id=\"T_015f1_row2731_col0\" class=\"data row2731 col0\" >69</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2732\" class=\"row_heading level0 row2732\" >aa1f9f0347e1bcb24c511541f422bc556306bd94</th>\n                        <td id=\"T_015f1_row2732_col0\" class=\"data row2732 col0\" >68</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2733\" class=\"row_heading level0 row2733\" >564d1d96c34b9cf86640f96713976378b0e77127</th>\n                        <td id=\"T_015f1_row2733_col0\" class=\"data row2733 col0\" >68</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2734\" class=\"row_heading level0 row2734\" >f313b3873d3b7b502ceddb23cf4e8f8d88cc571d</th>\n                        <td id=\"T_015f1_row2734_col0\" class=\"data row2734 col0\" >68</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2735\" class=\"row_heading level0 row2735\" >2c7c7e291b5bff74a842190246801e83069fd798</th>\n                        <td id=\"T_015f1_row2735_col0\" class=\"data row2735 col0\" >68</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2736\" class=\"row_heading level0 row2736\" >c10d98aa010d0de09f6fa228c76c922aeed11677</th>\n                        <td id=\"T_015f1_row2736_col0\" class=\"data row2736 col0\" >67</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2737\" class=\"row_heading level0 row2737\" >8b344975ccd0d427da6770c831c69f88ad0c0398</th>\n                        <td id=\"T_015f1_row2737_col0\" class=\"data row2737 col0\" >67</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2738\" class=\"row_heading level0 row2738\" >6d898a4be142c70826c8c9f448ac10e42ea987f5</th>\n                        <td id=\"T_015f1_row2738_col0\" class=\"data row2738 col0\" >67</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2739\" class=\"row_heading level0 row2739\" >1ae65ecc64fd68a95580a4d968f9c9f8cf777ae9</th>\n                        <td id=\"T_015f1_row2739_col0\" class=\"data row2739 col0\" >67</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2740\" class=\"row_heading level0 row2740\" >06c0fa8c238d8787b33b01d828867c216f52494e</th>\n                        <td id=\"T_015f1_row2740_col0\" class=\"data row2740 col0\" >67</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2741\" class=\"row_heading level0 row2741\" >fe3c891bfb4d92361744aa697be30809c182020a</th>\n                        <td id=\"T_015f1_row2741_col0\" class=\"data row2741 col0\" >67</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2742\" class=\"row_heading level0 row2742\" >b5a7a6e68677c0eafca4d11cde2b41a7f68f8a21</th>\n                        <td id=\"T_015f1_row2742_col0\" class=\"data row2742 col0\" >66</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2743\" class=\"row_heading level0 row2743\" >9bdb755b25c5ff426d28ae8cedcf2b84c2731c68</th>\n                        <td id=\"T_015f1_row2743_col0\" class=\"data row2743 col0\" >66</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2744\" class=\"row_heading level0 row2744\" >80777262f3766e3be9b9108c13b230eecadbbbfa</th>\n                        <td id=\"T_015f1_row2744_col0\" class=\"data row2744 col0\" >66</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2745\" class=\"row_heading level0 row2745\" >305a7cba0b9e5c983ce179bfebfe72a92a9a66c7</th>\n                        <td id=\"T_015f1_row2745_col0\" class=\"data row2745 col0\" >66</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2746\" class=\"row_heading level0 row2746\" >8ca53a415b0219e5aa117e7e4a36d119352e4001</th>\n                        <td id=\"T_015f1_row2746_col0\" class=\"data row2746 col0\" >66</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2747\" class=\"row_heading level0 row2747\" >11e5622fdb7dea41ec854208031fd9763b8b90eb</th>\n                        <td id=\"T_015f1_row2747_col0\" class=\"data row2747 col0\" >65</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2748\" class=\"row_heading level0 row2748\" >5926481f28fd4e8ec310e1d21baf946a66236e80</th>\n                        <td id=\"T_015f1_row2748_col0\" class=\"data row2748 col0\" >65</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2749\" class=\"row_heading level0 row2749\" >e86171329c3fbc5b6a6347186419dd46a6b432e3</th>\n                        <td id=\"T_015f1_row2749_col0\" class=\"data row2749 col0\" >65</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2750\" class=\"row_heading level0 row2750\" >c904fbb7c4ed26105dc20b68b4cb77bad3ff8677</th>\n                        <td id=\"T_015f1_row2750_col0\" class=\"data row2750 col0\" >65</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2751\" class=\"row_heading level0 row2751\" >4a53608848b4937ebe17a036a89e21bc9a132d1c</th>\n                        <td id=\"T_015f1_row2751_col0\" class=\"data row2751 col0\" >65</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2752\" class=\"row_heading level0 row2752\" >cc54b41f293aa66be69719463b4b219ed643e300</th>\n                        <td id=\"T_015f1_row2752_col0\" class=\"data row2752 col0\" >64</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2753\" class=\"row_heading level0 row2753\" >636ef2d5976d2f526e42f14146092735b045a5fb</th>\n                        <td id=\"T_015f1_row2753_col0\" class=\"data row2753 col0\" >64</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2754\" class=\"row_heading level0 row2754\" >a19cfc329e5279fae9e74c7a7a014b51a8342d5e</th>\n                        <td id=\"T_015f1_row2754_col0\" class=\"data row2754 col0\" >64</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2755\" class=\"row_heading level0 row2755\" >de5149c12da9dfe687d6cdb9f1219679a1bf6be6</th>\n                        <td id=\"T_015f1_row2755_col0\" class=\"data row2755 col0\" >64</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2756\" class=\"row_heading level0 row2756\" >098075e07f599aca8c841eeacdd1e75cf3c8256f</th>\n                        <td id=\"T_015f1_row2756_col0\" class=\"data row2756 col0\" >64</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2757\" class=\"row_heading level0 row2757\" >d32dcad2531ec1ec3c4fa261d5908dab0039e05d</th>\n                        <td id=\"T_015f1_row2757_col0\" class=\"data row2757 col0\" >64</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2758\" class=\"row_heading level0 row2758\" >a19bf15ad06ff298d3c36680990189b5f31779da</th>\n                        <td id=\"T_015f1_row2758_col0\" class=\"data row2758 col0\" >64</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2759\" class=\"row_heading level0 row2759\" >808cc2e70636dd124a0576dd186ed5d96e95d14b</th>\n                        <td id=\"T_015f1_row2759_col0\" class=\"data row2759 col0\" >64</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2760\" class=\"row_heading level0 row2760\" >51e2996d7b9cefca9aec8c9b20eb9cfb24f6066d</th>\n                        <td id=\"T_015f1_row2760_col0\" class=\"data row2760 col0\" >63</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2761\" class=\"row_heading level0 row2761\" >4092f90ebe21bc717ef3f2df80ad8d45124b7e86</th>\n                        <td id=\"T_015f1_row2761_col0\" class=\"data row2761 col0\" >63</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2762\" class=\"row_heading level0 row2762\" >c3732b4eac9be92057072b9f518b3b24cad95811</th>\n                        <td id=\"T_015f1_row2762_col0\" class=\"data row2762 col0\" >63</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2763\" class=\"row_heading level0 row2763\" >449aa99d7c2b7fdb134958549cb86b8bb448a6ec</th>\n                        <td id=\"T_015f1_row2763_col0\" class=\"data row2763 col0\" >63</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2764\" class=\"row_heading level0 row2764\" >b5763fc9fe68c57499478269f110887c1f1d50d4</th>\n                        <td id=\"T_015f1_row2764_col0\" class=\"data row2764 col0\" >62</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2765\" class=\"row_heading level0 row2765\" >4b7966f8a734e955affb315e869e6959b9eaac42</th>\n                        <td id=\"T_015f1_row2765_col0\" class=\"data row2765 col0\" >62</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2766\" class=\"row_heading level0 row2766\" >523d7118fc4b2214495f182c47c7a40afe04e292</th>\n                        <td id=\"T_015f1_row2766_col0\" class=\"data row2766 col0\" >62</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2767\" class=\"row_heading level0 row2767\" >bbb9f996777268e193c4ed9430484aea15a8dc0e</th>\n                        <td id=\"T_015f1_row2767_col0\" class=\"data row2767 col0\" >62</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2768\" class=\"row_heading level0 row2768\" >660acb50f37a9942dcffd4def99137b0d9165f1a</th>\n                        <td id=\"T_015f1_row2768_col0\" class=\"data row2768 col0\" >62</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2769\" class=\"row_heading level0 row2769\" >468a2050e88d54ee20ab7f19f7becdb381d49a46</th>\n                        <td id=\"T_015f1_row2769_col0\" class=\"data row2769 col0\" >62</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2770\" class=\"row_heading level0 row2770\" >ea40ce0f498fcd0b0fccd78854abe54f5049a75f</th>\n                        <td id=\"T_015f1_row2770_col0\" class=\"data row2770 col0\" >62</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2771\" class=\"row_heading level0 row2771\" >d3106f6e9fdf4698378f8592a196b4185b2b340a</th>\n                        <td id=\"T_015f1_row2771_col0\" class=\"data row2771 col0\" >61</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2772\" class=\"row_heading level0 row2772\" >1628ce994ca0cf5368a83027e04ae34a1035a2e5</th>\n                        <td id=\"T_015f1_row2772_col0\" class=\"data row2772 col0\" >61</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2773\" class=\"row_heading level0 row2773\" >52527faa82e2b9bf93aa1f858748122d782811d4</th>\n                        <td id=\"T_015f1_row2773_col0\" class=\"data row2773 col0\" >61</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2774\" class=\"row_heading level0 row2774\" >9107f9da68553bd57581d8d5c1db67e8bb3c5db6</th>\n                        <td id=\"T_015f1_row2774_col0\" class=\"data row2774 col0\" >61</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2775\" class=\"row_heading level0 row2775\" >115c60e213564b3dab06e39a03d1f92db5c829a8</th>\n                        <td id=\"T_015f1_row2775_col0\" class=\"data row2775 col0\" >61</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2776\" class=\"row_heading level0 row2776\" >42bbb9f51c11e6b70a0934d13e83e7865b345f19</th>\n                        <td id=\"T_015f1_row2776_col0\" class=\"data row2776 col0\" >61</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2777\" class=\"row_heading level0 row2777\" >0894f32ab15a4c6e62b201efd295657cbc412481</th>\n                        <td id=\"T_015f1_row2777_col0\" class=\"data row2777 col0\" >61</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2778\" class=\"row_heading level0 row2778\" >cc59ad953876bf7c868153f1b7d1d4818513aefe</th>\n                        <td id=\"T_015f1_row2778_col0\" class=\"data row2778 col0\" >60</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2779\" class=\"row_heading level0 row2779\" >cafe8e3d4c36f94c1c59c8dba984cabef2498491</th>\n                        <td id=\"T_015f1_row2779_col0\" class=\"data row2779 col0\" >60</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2780\" class=\"row_heading level0 row2780\" >736bf298005a378b60dcd155e938f7dbcfa24d55</th>\n                        <td id=\"T_015f1_row2780_col0\" class=\"data row2780 col0\" >60</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2781\" class=\"row_heading level0 row2781\" >f4e320eea3535e7b5e5ab1cda52ee9e32a9c4268</th>\n                        <td id=\"T_015f1_row2781_col0\" class=\"data row2781 col0\" >59</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2782\" class=\"row_heading level0 row2782\" >d951f5ae079dc97536bead712e8b8ad1864d438a</th>\n                        <td id=\"T_015f1_row2782_col0\" class=\"data row2782 col0\" >59</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2783\" class=\"row_heading level0 row2783\" >d97f43ccd7239bf09fc77b463d6d1306a74786a5</th>\n                        <td id=\"T_015f1_row2783_col0\" class=\"data row2783 col0\" >59</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2784\" class=\"row_heading level0 row2784\" >7abfd7a02cb4072e36d668ba1bccae8e6da6180a</th>\n                        <td id=\"T_015f1_row2784_col0\" class=\"data row2784 col0\" >59</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2785\" class=\"row_heading level0 row2785\" >01dd00cd784a639f7d6609ddc8bfc6c9af3b47d3</th>\n                        <td id=\"T_015f1_row2785_col0\" class=\"data row2785 col0\" >59</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2786\" class=\"row_heading level0 row2786\" >c67085d884efb25c27a743b099e2bc90266a3c33</th>\n                        <td id=\"T_015f1_row2786_col0\" class=\"data row2786 col0\" >59</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2787\" class=\"row_heading level0 row2787\" >4ed61e923a531cd500928e7dcf4412d5dabdd4e6</th>\n                        <td id=\"T_015f1_row2787_col0\" class=\"data row2787 col0\" >59</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2788\" class=\"row_heading level0 row2788\" >6e24d4def53cd54c09cea6193b3af6ee13351e38</th>\n                        <td id=\"T_015f1_row2788_col0\" class=\"data row2788 col0\" >59</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2789\" class=\"row_heading level0 row2789\" >2bb34d8571a19b6579aee116b7377406aec2cd8d</th>\n                        <td id=\"T_015f1_row2789_col0\" class=\"data row2789 col0\" >59</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2790\" class=\"row_heading level0 row2790\" >052a6209808344ff15b56806d2f4f7e2da3050d4</th>\n                        <td id=\"T_015f1_row2790_col0\" class=\"data row2790 col0\" >59</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2791\" class=\"row_heading level0 row2791\" >9b09c6db705c93b2fd70e6ac2904f3047c8c53bb</th>\n                        <td id=\"T_015f1_row2791_col0\" class=\"data row2791 col0\" >58</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2792\" class=\"row_heading level0 row2792\" >7e9995d443d30ad1d1d741cfb06da68f2695e4aa</th>\n                        <td id=\"T_015f1_row2792_col0\" class=\"data row2792 col0\" >58</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2793\" class=\"row_heading level0 row2793\" >c9c6f645b25649546705cf5b79444dfaeb1bcd80</th>\n                        <td id=\"T_015f1_row2793_col0\" class=\"data row2793 col0\" >57</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2794\" class=\"row_heading level0 row2794\" >b0e604c61556edada462d1d9e65530ee6f6ca401</th>\n                        <td id=\"T_015f1_row2794_col0\" class=\"data row2794 col0\" >57</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2795\" class=\"row_heading level0 row2795\" >858d413e756ca273e6b4e46dc5feceab47f97363</th>\n                        <td id=\"T_015f1_row2795_col0\" class=\"data row2795 col0\" >57</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2796\" class=\"row_heading level0 row2796\" >e229e5b52a293e7e6f5112dd6c8f6be40789fe3f</th>\n                        <td id=\"T_015f1_row2796_col0\" class=\"data row2796 col0\" >57</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2797\" class=\"row_heading level0 row2797\" >f8b31a557cbba864866200fca0c46f125e163497</th>\n                        <td id=\"T_015f1_row2797_col0\" class=\"data row2797 col0\" >57</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2798\" class=\"row_heading level0 row2798\" >98161e07c3795cf49fea21e4d47baacb2e323aae</th>\n                        <td id=\"T_015f1_row2798_col0\" class=\"data row2798 col0\" >57</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2799\" class=\"row_heading level0 row2799\" >cb40ed8952d27854ade407763591edbdb3545fa0</th>\n                        <td id=\"T_015f1_row2799_col0\" class=\"data row2799 col0\" >56</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2800\" class=\"row_heading level0 row2800\" >b1b4504e3cc18de8594fe1356058f6ef19de6cac</th>\n                        <td id=\"T_015f1_row2800_col0\" class=\"data row2800 col0\" >56</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2801\" class=\"row_heading level0 row2801\" >b4ae9996e8132c0be2dcfe9c43c38fc4b6eddb96</th>\n                        <td id=\"T_015f1_row2801_col0\" class=\"data row2801 col0\" >56</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2802\" class=\"row_heading level0 row2802\" >5daf87949ed86c8dc2f706bf332b9c5eafd4d143</th>\n                        <td id=\"T_015f1_row2802_col0\" class=\"data row2802 col0\" >56</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2803\" class=\"row_heading level0 row2803\" >b08ca8bb7e162308cbc3c48debde599baa66d126</th>\n                        <td id=\"T_015f1_row2803_col0\" class=\"data row2803 col0\" >55</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2804\" class=\"row_heading level0 row2804\" >b220be97a846fd62cb142f49bb85becee9f60a2c</th>\n                        <td id=\"T_015f1_row2804_col0\" class=\"data row2804 col0\" >55</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2805\" class=\"row_heading level0 row2805\" >9ee9505d9552f9c62594e2f5f1f4b1ac4ed80101</th>\n                        <td id=\"T_015f1_row2805_col0\" class=\"data row2805 col0\" >55</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2806\" class=\"row_heading level0 row2806\" >dc9fedf935b9bc2f85f56e1b3a9ed6e26968a4ed</th>\n                        <td id=\"T_015f1_row2806_col0\" class=\"data row2806 col0\" >55</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2807\" class=\"row_heading level0 row2807\" >816e93aa284a48dbe43cd1f4dec71026a7156f3c</th>\n                        <td id=\"T_015f1_row2807_col0\" class=\"data row2807 col0\" >55</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2808\" class=\"row_heading level0 row2808\" >a66067f1cd4f2cfb214ed154309d72bc51447245</th>\n                        <td id=\"T_015f1_row2808_col0\" class=\"data row2808 col0\" >55</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2809\" class=\"row_heading level0 row2809\" >7be66c9955283556d198d47489755cfb4de37660</th>\n                        <td id=\"T_015f1_row2809_col0\" class=\"data row2809 col0\" >55</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2810\" class=\"row_heading level0 row2810\" >c6a9be630336743aca8ffd05e4d0dc228fd790ba</th>\n                        <td id=\"T_015f1_row2810_col0\" class=\"data row2810 col0\" >55</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2811\" class=\"row_heading level0 row2811\" >3c0994d3c1d7a19fe855d906916a14d7c887c2af</th>\n                        <td id=\"T_015f1_row2811_col0\" class=\"data row2811 col0\" >55</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2812\" class=\"row_heading level0 row2812\" >db561dcf56c86be256e3dca978d085367ade054a</th>\n                        <td id=\"T_015f1_row2812_col0\" class=\"data row2812 col0\" >55</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2813\" class=\"row_heading level0 row2813\" >2c54d095f04048923722f1267a4ba3963723e89f</th>\n                        <td id=\"T_015f1_row2813_col0\" class=\"data row2813 col0\" >55</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2814\" class=\"row_heading level0 row2814\" >d04a16d1415d5f9c296edc7d26445a02575ca1b7</th>\n                        <td id=\"T_015f1_row2814_col0\" class=\"data row2814 col0\" >55</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2815\" class=\"row_heading level0 row2815\" >34fd576e40862c39ce10f6d223ea02b010ec8736</th>\n                        <td id=\"T_015f1_row2815_col0\" class=\"data row2815 col0\" >55</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2816\" class=\"row_heading level0 row2816\" >1622ed3500880374e53c45b660b6a035cc1f84da</th>\n                        <td id=\"T_015f1_row2816_col0\" class=\"data row2816 col0\" >54</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2817\" class=\"row_heading level0 row2817\" >1ed6b9d14ee124706e9576e91af3b4d20933ee1b</th>\n                        <td id=\"T_015f1_row2817_col0\" class=\"data row2817 col0\" >54</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2818\" class=\"row_heading level0 row2818\" >10caab6fea3e833d0d07e6ee7aeac6fe2cde7c17</th>\n                        <td id=\"T_015f1_row2818_col0\" class=\"data row2818 col0\" >54</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2819\" class=\"row_heading level0 row2819\" >8c8c5f3e74afe4fb6c207d217e838d2dc7250656</th>\n                        <td id=\"T_015f1_row2819_col0\" class=\"data row2819 col0\" >54</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2820\" class=\"row_heading level0 row2820\" >455f03aaa1bee4134421e0a1b65873c36b2621b6</th>\n                        <td id=\"T_015f1_row2820_col0\" class=\"data row2820 col0\" >54</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2821\" class=\"row_heading level0 row2821\" >e323b17a35b8336ee49e35503af6b106e126798b</th>\n                        <td id=\"T_015f1_row2821_col0\" class=\"data row2821 col0\" >53</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2822\" class=\"row_heading level0 row2822\" >4be8be5d3375e2d145431f41026521d16a01f7f6</th>\n                        <td id=\"T_015f1_row2822_col0\" class=\"data row2822 col0\" >53</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2823\" class=\"row_heading level0 row2823\" >9121032429943f9b7eb20186bc7476c0d9a5d4e7</th>\n                        <td id=\"T_015f1_row2823_col0\" class=\"data row2823 col0\" >53</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2824\" class=\"row_heading level0 row2824\" >795b1808855ad0bc600db6c9df53436d351a616e</th>\n                        <td id=\"T_015f1_row2824_col0\" class=\"data row2824 col0\" >53</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2825\" class=\"row_heading level0 row2825\" >3c0d7b0620b58b75b1fb80fcfbbf4c2c0725384b</th>\n                        <td id=\"T_015f1_row2825_col0\" class=\"data row2825 col0\" >53</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2826\" class=\"row_heading level0 row2826\" >458ba6753c91ca5937dbf33a289e7d6013c284c7</th>\n                        <td id=\"T_015f1_row2826_col0\" class=\"data row2826 col0\" >53</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2827\" class=\"row_heading level0 row2827\" >45a14ae9d8cf9841c44fef58ce79e7086fb9f6fa</th>\n                        <td id=\"T_015f1_row2827_col0\" class=\"data row2827 col0\" >53</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2828\" class=\"row_heading level0 row2828\" >1bb5d0affd5b295b22c204ce1b092259299b3f72</th>\n                        <td id=\"T_015f1_row2828_col0\" class=\"data row2828 col0\" >53</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2829\" class=\"row_heading level0 row2829\" >cddc1c80837cd83cf37b870737e3400bebd31c49</th>\n                        <td id=\"T_015f1_row2829_col0\" class=\"data row2829 col0\" >53</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2830\" class=\"row_heading level0 row2830\" >06327ba49d35459684102dffb30058a730a44b62</th>\n                        <td id=\"T_015f1_row2830_col0\" class=\"data row2830 col0\" >53</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2831\" class=\"row_heading level0 row2831\" >6fbea29d369bf4483eea00f03f8fd4942f327a8d</th>\n                        <td id=\"T_015f1_row2831_col0\" class=\"data row2831 col0\" >52</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2832\" class=\"row_heading level0 row2832\" >94f0be14f76dfbb65a8d9c920542f06e4f79fa26</th>\n                        <td id=\"T_015f1_row2832_col0\" class=\"data row2832 col0\" >52</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2833\" class=\"row_heading level0 row2833\" >8553514711ebda556c2563b1ae2f3a6d4a2ba023</th>\n                        <td id=\"T_015f1_row2833_col0\" class=\"data row2833 col0\" >52</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2834\" class=\"row_heading level0 row2834\" >166f82b0bfe87b860c471e1ff6ec201cddd3f0a9</th>\n                        <td id=\"T_015f1_row2834_col0\" class=\"data row2834 col0\" >52</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2835\" class=\"row_heading level0 row2835\" >e26257853806d310b55cf114e564853f11ca4c1e</th>\n                        <td id=\"T_015f1_row2835_col0\" class=\"data row2835 col0\" >52</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2836\" class=\"row_heading level0 row2836\" >55c79013845087ab922af62ad08d981b7ead947c</th>\n                        <td id=\"T_015f1_row2836_col0\" class=\"data row2836 col0\" >51</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2837\" class=\"row_heading level0 row2837\" >1cccae182f2dada388b4908829f72a10b220d8a6</th>\n                        <td id=\"T_015f1_row2837_col0\" class=\"data row2837 col0\" >51</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2838\" class=\"row_heading level0 row2838\" >ea522bb9e058de2838d619dedc94afd562de7361</th>\n                        <td id=\"T_015f1_row2838_col0\" class=\"data row2838 col0\" >50</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2839\" class=\"row_heading level0 row2839\" >0c0b2b4270a23b445c7a6b80c8abb320ea3eda17</th>\n                        <td id=\"T_015f1_row2839_col0\" class=\"data row2839 col0\" >50</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2840\" class=\"row_heading level0 row2840\" >145cc0819d06d34e5bcd409767b4856d7452d4aa</th>\n                        <td id=\"T_015f1_row2840_col0\" class=\"data row2840 col0\" >50</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2841\" class=\"row_heading level0 row2841\" >73db78d00234304b19850df305adf570c29a7f3f</th>\n                        <td id=\"T_015f1_row2841_col0\" class=\"data row2841 col0\" >49</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2842\" class=\"row_heading level0 row2842\" >0b4954b87af7cd05997e625288da503be8f8ad2e</th>\n                        <td id=\"T_015f1_row2842_col0\" class=\"data row2842 col0\" >49</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2843\" class=\"row_heading level0 row2843\" >7659d9c7db66ad1d0994fdf2200ef1f45af11159</th>\n                        <td id=\"T_015f1_row2843_col0\" class=\"data row2843 col0\" >49</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2844\" class=\"row_heading level0 row2844\" >ca54c54e1a4eb22d30ce2cd13b1a8721dbad957c</th>\n                        <td id=\"T_015f1_row2844_col0\" class=\"data row2844 col0\" >49</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2845\" class=\"row_heading level0 row2845\" >a303a2110709c6e3f7554bfd468e03b2fb10800f</th>\n                        <td id=\"T_015f1_row2845_col0\" class=\"data row2845 col0\" >49</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2846\" class=\"row_heading level0 row2846\" >ebf4acd532f5f8402dbea5892e621229033f1901</th>\n                        <td id=\"T_015f1_row2846_col0\" class=\"data row2846 col0\" >49</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2847\" class=\"row_heading level0 row2847\" >4bfe6915c9470ccead7fc05ad28d2b7fece5e5bf</th>\n                        <td id=\"T_015f1_row2847_col0\" class=\"data row2847 col0\" >49</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2848\" class=\"row_heading level0 row2848\" >9c54581ef25594521bc9c5d6a4da96611d97c74b</th>\n                        <td id=\"T_015f1_row2848_col0\" class=\"data row2848 col0\" >49</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2849\" class=\"row_heading level0 row2849\" >893c5891228903de9f9f0e10e08c8bbfeb82d8ce</th>\n                        <td id=\"T_015f1_row2849_col0\" class=\"data row2849 col0\" >48</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2850\" class=\"row_heading level0 row2850\" >2e59aaf7cc2863f8c4291d7aeaec6f502acb0995</th>\n                        <td id=\"T_015f1_row2850_col0\" class=\"data row2850 col0\" >48</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2851\" class=\"row_heading level0 row2851\" >0bce491c53cfe6e5ff503508243e9e4fbc3c2b66</th>\n                        <td id=\"T_015f1_row2851_col0\" class=\"data row2851 col0\" >48</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2852\" class=\"row_heading level0 row2852\" >4717c743506cc2476b7652d0c788bff40f3dde1f</th>\n                        <td id=\"T_015f1_row2852_col0\" class=\"data row2852 col0\" >48</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2853\" class=\"row_heading level0 row2853\" >b69beee3ec956b7b868249d8ae802a00fb726a15</th>\n                        <td id=\"T_015f1_row2853_col0\" class=\"data row2853 col0\" >48</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2854\" class=\"row_heading level0 row2854\" >8a51728d71c06132c5f4d7728297c6e0181a8b4f</th>\n                        <td id=\"T_015f1_row2854_col0\" class=\"data row2854 col0\" >48</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2855\" class=\"row_heading level0 row2855\" >de5065eaa1cb8f10141cbc28d735e8632030e443</th>\n                        <td id=\"T_015f1_row2855_col0\" class=\"data row2855 col0\" >48</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2856\" class=\"row_heading level0 row2856\" >77c95a66c6a51e4b38dc82867909949c5fcb4263</th>\n                        <td id=\"T_015f1_row2856_col0\" class=\"data row2856 col0\" >48</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2857\" class=\"row_heading level0 row2857\" >f53431d281128d07e67b625bb2795fdb0eafda89</th>\n                        <td id=\"T_015f1_row2857_col0\" class=\"data row2857 col0\" >48</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2858\" class=\"row_heading level0 row2858\" >bfbce7413df0b2ccb16300ac8a336f7278d5ac2d</th>\n                        <td id=\"T_015f1_row2858_col0\" class=\"data row2858 col0\" >47</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2859\" class=\"row_heading level0 row2859\" >8a9eb6fc03dc7a7dffacb4b547274033d6cf6b08</th>\n                        <td id=\"T_015f1_row2859_col0\" class=\"data row2859 col0\" >47</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2860\" class=\"row_heading level0 row2860\" >ec5529ab0f5fca06b98a845e088c5e3cd6808c1d</th>\n                        <td id=\"T_015f1_row2860_col0\" class=\"data row2860 col0\" >47</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2861\" class=\"row_heading level0 row2861\" >97286e7f120fb114f0515f73d1eca7653ae9f83b</th>\n                        <td id=\"T_015f1_row2861_col0\" class=\"data row2861 col0\" >47</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2862\" class=\"row_heading level0 row2862\" >a630919f315899ebf8650eb07d1097204ba5a2d3</th>\n                        <td id=\"T_015f1_row2862_col0\" class=\"data row2862 col0\" >47</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2863\" class=\"row_heading level0 row2863\" >762bc08bef2b9d4f2d399dfda0aa3cceecd13c54</th>\n                        <td id=\"T_015f1_row2863_col0\" class=\"data row2863 col0\" >47</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2864\" class=\"row_heading level0 row2864\" >cc823a5bf1447c665e075ab2df9ca07a51705654</th>\n                        <td id=\"T_015f1_row2864_col0\" class=\"data row2864 col0\" >46</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2865\" class=\"row_heading level0 row2865\" >113778075544d92471ef949b41c11d27125c1fec</th>\n                        <td id=\"T_015f1_row2865_col0\" class=\"data row2865 col0\" >46</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2866\" class=\"row_heading level0 row2866\" >82267681f3ebfaf783155c89e518a320a04907a4</th>\n                        <td id=\"T_015f1_row2866_col0\" class=\"data row2866 col0\" >46</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2867\" class=\"row_heading level0 row2867\" >1f95539a8f0e2ff4cee60cbbe29ae06c957a4236</th>\n                        <td id=\"T_015f1_row2867_col0\" class=\"data row2867 col0\" >46</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2868\" class=\"row_heading level0 row2868\" >7fa5bc4e52af425631ab1538fb0ae62fd32a6fd3</th>\n                        <td id=\"T_015f1_row2868_col0\" class=\"data row2868 col0\" >46</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2869\" class=\"row_heading level0 row2869\" >c2de0028efddf7b763754373d63eaee5fe1c6c74</th>\n                        <td id=\"T_015f1_row2869_col0\" class=\"data row2869 col0\" >46</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2870\" class=\"row_heading level0 row2870\" >978d71664fb9f909202d97f62d711f6aef178b39</th>\n                        <td id=\"T_015f1_row2870_col0\" class=\"data row2870 col0\" >46</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2871\" class=\"row_heading level0 row2871\" >059f00d2a6407d3902c3288f30f7bb6d16a99cc2</th>\n                        <td id=\"T_015f1_row2871_col0\" class=\"data row2871 col0\" >45</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2872\" class=\"row_heading level0 row2872\" >c698320fe4d00301cef934d62cdeb6fb143a286b</th>\n                        <td id=\"T_015f1_row2872_col0\" class=\"data row2872 col0\" >45</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2873\" class=\"row_heading level0 row2873\" >7072183835ec89faf884da2a27c5ece5cb068d49</th>\n                        <td id=\"T_015f1_row2873_col0\" class=\"data row2873 col0\" >45</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2874\" class=\"row_heading level0 row2874\" >a5fa56c01bc636432ad0deb09ac769dd8b4bc4c5</th>\n                        <td id=\"T_015f1_row2874_col0\" class=\"data row2874 col0\" >45</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2875\" class=\"row_heading level0 row2875\" >0192ce7fc9f7e169d3edd58151d50555d70ebb27</th>\n                        <td id=\"T_015f1_row2875_col0\" class=\"data row2875 col0\" >45</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2876\" class=\"row_heading level0 row2876\" >3cb7c80dbf25e41c04de15f9b53742cec0b499a9</th>\n                        <td id=\"T_015f1_row2876_col0\" class=\"data row2876 col0\" >45</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2877\" class=\"row_heading level0 row2877\" >943f9266d39f980418bca0d0761fa7c7c2b0937e</th>\n                        <td id=\"T_015f1_row2877_col0\" class=\"data row2877 col0\" >45</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2878\" class=\"row_heading level0 row2878\" >6023442b144dc9dff64776200e45e8d2ea7b4498</th>\n                        <td id=\"T_015f1_row2878_col0\" class=\"data row2878 col0\" >44</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2879\" class=\"row_heading level0 row2879\" >420908ce6b4f6c7e5b5b312d689024f006a3119c</th>\n                        <td id=\"T_015f1_row2879_col0\" class=\"data row2879 col0\" >44</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2880\" class=\"row_heading level0 row2880\" >e315f5b559dff9bd9b27a3c3361226e2f2d7499d</th>\n                        <td id=\"T_015f1_row2880_col0\" class=\"data row2880 col0\" >44</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2881\" class=\"row_heading level0 row2881\" >4c65c647d53900b59ae6ab42e8f017bd1e924188</th>\n                        <td id=\"T_015f1_row2881_col0\" class=\"data row2881 col0\" >44</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2882\" class=\"row_heading level0 row2882\" >3851e8f6a1d28451c61852103fc4eb972b744bad</th>\n                        <td id=\"T_015f1_row2882_col0\" class=\"data row2882 col0\" >44</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2883\" class=\"row_heading level0 row2883\" >77cddc2944cbed7b4f174f56d9e48a360ea41916</th>\n                        <td id=\"T_015f1_row2883_col0\" class=\"data row2883 col0\" >43</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2884\" class=\"row_heading level0 row2884\" >c5c3d3cb0a39cfff7f743f1eb3e134626bae310b</th>\n                        <td id=\"T_015f1_row2884_col0\" class=\"data row2884 col0\" >43</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2885\" class=\"row_heading level0 row2885\" >3e76bb68e647e4abcb1b405f15de6e5e037f5a98</th>\n                        <td id=\"T_015f1_row2885_col0\" class=\"data row2885 col0\" >42</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2886\" class=\"row_heading level0 row2886\" >b620c25dbe4c7f1d4e05a197d16adef63da0f015</th>\n                        <td id=\"T_015f1_row2886_col0\" class=\"data row2886 col0\" >42</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2887\" class=\"row_heading level0 row2887\" >620dee1aa221af71a518fd75cb7b235cc9d83522</th>\n                        <td id=\"T_015f1_row2887_col0\" class=\"data row2887 col0\" >42</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2888\" class=\"row_heading level0 row2888\" >23277d425d113c02a922e2fad4c12ebd8e71b6d0</th>\n                        <td id=\"T_015f1_row2888_col0\" class=\"data row2888 col0\" >42</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2889\" class=\"row_heading level0 row2889\" >d83c15979df72f2178f1fea2785347764ac08e15</th>\n                        <td id=\"T_015f1_row2889_col0\" class=\"data row2889 col0\" >42</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2890\" class=\"row_heading level0 row2890\" >298fdc82547d72c938a1e918eeb10ed967b28adb</th>\n                        <td id=\"T_015f1_row2890_col0\" class=\"data row2890 col0\" >42</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2891\" class=\"row_heading level0 row2891\" >062d6849031af47a1d7824df3e0b0ed76039a4c5</th>\n                        <td id=\"T_015f1_row2891_col0\" class=\"data row2891 col0\" >41</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2892\" class=\"row_heading level0 row2892\" >c52ec98ede589ce3ca201ada45b61d5159b6d66d</th>\n                        <td id=\"T_015f1_row2892_col0\" class=\"data row2892 col0\" >41</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2893\" class=\"row_heading level0 row2893\" >ec94f2b99c911d8a0d05bd0196c13936ef58f14f</th>\n                        <td id=\"T_015f1_row2893_col0\" class=\"data row2893 col0\" >41</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2894\" class=\"row_heading level0 row2894\" >9671888e7efc307b4de9f9c1555b17228fd45dd9</th>\n                        <td id=\"T_015f1_row2894_col0\" class=\"data row2894 col0\" >41</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2895\" class=\"row_heading level0 row2895\" >12c81d2feee4b770d0ce848aec17b44da455de21</th>\n                        <td id=\"T_015f1_row2895_col0\" class=\"data row2895 col0\" >41</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2896\" class=\"row_heading level0 row2896\" >10e5dcd5caa5c9b9172abf76b473426174345307</th>\n                        <td id=\"T_015f1_row2896_col0\" class=\"data row2896 col0\" >41</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2897\" class=\"row_heading level0 row2897\" >35e05d2af2fd247cc7b7684c844eb1f6d5bf8059</th>\n                        <td id=\"T_015f1_row2897_col0\" class=\"data row2897 col0\" >41</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2898\" class=\"row_heading level0 row2898\" >2f59041613c4d90f9155aa774948239b888123a4</th>\n                        <td id=\"T_015f1_row2898_col0\" class=\"data row2898 col0\" >41</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2899\" class=\"row_heading level0 row2899\" >1892b48267c7eb6a71b69ecd87d6447137bd984a</th>\n                        <td id=\"T_015f1_row2899_col0\" class=\"data row2899 col0\" >41</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2900\" class=\"row_heading level0 row2900\" >ae796a9b9bbedee71205d48d2e9b51329483f4dd</th>\n                        <td id=\"T_015f1_row2900_col0\" class=\"data row2900 col0\" >41</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2901\" class=\"row_heading level0 row2901\" >2f087feba12825ca47b9553d19812ba97fbc0433</th>\n                        <td id=\"T_015f1_row2901_col0\" class=\"data row2901 col0\" >41</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2902\" class=\"row_heading level0 row2902\" >00f36a2e037357f98009f8d084fa70eb5071aa42</th>\n                        <td id=\"T_015f1_row2902_col0\" class=\"data row2902 col0\" >41</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2903\" class=\"row_heading level0 row2903\" >0b882ab2f47b7a753138ee66b4369133998748c7</th>\n                        <td id=\"T_015f1_row2903_col0\" class=\"data row2903 col0\" >40</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2904\" class=\"row_heading level0 row2904\" >d7157844a7899c4ef0d2caa0b4518f21a3a3b1d1</th>\n                        <td id=\"T_015f1_row2904_col0\" class=\"data row2904 col0\" >40</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2905\" class=\"row_heading level0 row2905\" >34ab4858ca53823680160dc27230b2581fce0e24</th>\n                        <td id=\"T_015f1_row2905_col0\" class=\"data row2905 col0\" >40</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2906\" class=\"row_heading level0 row2906\" >6635eaeda1a9cd5954a45410b7c0a531a3a394a2</th>\n                        <td id=\"T_015f1_row2906_col0\" class=\"data row2906 col0\" >40</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2907\" class=\"row_heading level0 row2907\" >13bc185e456cb186352eb663451d9fd9f92a246c</th>\n                        <td id=\"T_015f1_row2907_col0\" class=\"data row2907 col0\" >40</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2908\" class=\"row_heading level0 row2908\" >4e3000bacc68d040917f0161eb42e9eeed321be9</th>\n                        <td id=\"T_015f1_row2908_col0\" class=\"data row2908 col0\" >39</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2909\" class=\"row_heading level0 row2909\" >e12a88f10345975e3337e9cf43a8a46fa68ffe3e</th>\n                        <td id=\"T_015f1_row2909_col0\" class=\"data row2909 col0\" >39</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2910\" class=\"row_heading level0 row2910\" >b30b484a4b6aedee66258c6abe85cd4d1ecfbd9e</th>\n                        <td id=\"T_015f1_row2910_col0\" class=\"data row2910 col0\" >39</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2911\" class=\"row_heading level0 row2911\" >45272fa5badd33a3311646042f678c3fd792c99b</th>\n                        <td id=\"T_015f1_row2911_col0\" class=\"data row2911 col0\" >39</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2912\" class=\"row_heading level0 row2912\" >6703144708604dbce306231210ddf524414f0f31</th>\n                        <td id=\"T_015f1_row2912_col0\" class=\"data row2912 col0\" >39</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2913\" class=\"row_heading level0 row2913\" >078c1a3ac7d52dee2c6a940319472712bca1bd1d</th>\n                        <td id=\"T_015f1_row2913_col0\" class=\"data row2913 col0\" >39</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2914\" class=\"row_heading level0 row2914\" >3c5ef6eb468ca39cc6e0342b9144740b1ef2832a</th>\n                        <td id=\"T_015f1_row2914_col0\" class=\"data row2914 col0\" >39</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2915\" class=\"row_heading level0 row2915\" >d479f2fe67b64cb4c00a1a547ab12dd99609824e</th>\n                        <td id=\"T_015f1_row2915_col0\" class=\"data row2915 col0\" >39</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2916\" class=\"row_heading level0 row2916\" >2dca2c4ab10b85883344281b4afdea63baf3c9d4</th>\n                        <td id=\"T_015f1_row2916_col0\" class=\"data row2916 col0\" >39</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2917\" class=\"row_heading level0 row2917\" >a76edf75c96b0efd14f34de3a6d7ace11baac218</th>\n                        <td id=\"T_015f1_row2917_col0\" class=\"data row2917 col0\" >39</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2918\" class=\"row_heading level0 row2918\" >6933f83a5dfd8790f8f046efa6a2751cb8e53006</th>\n                        <td id=\"T_015f1_row2918_col0\" class=\"data row2918 col0\" >39</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2919\" class=\"row_heading level0 row2919\" >67b98595c8032cef9031fe4eb83941983598992e</th>\n                        <td id=\"T_015f1_row2919_col0\" class=\"data row2919 col0\" >38</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2920\" class=\"row_heading level0 row2920\" >d9d350a47d6544c52fe2466d3ab0ea7806d7703c</th>\n                        <td id=\"T_015f1_row2920_col0\" class=\"data row2920 col0\" >38</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2921\" class=\"row_heading level0 row2921\" >44621bdd9febae010426ff0d6721f296d47f9bfd</th>\n                        <td id=\"T_015f1_row2921_col0\" class=\"data row2921 col0\" >38</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2922\" class=\"row_heading level0 row2922\" >5bc772a3145d3d68229373e598d141c8f7c559af</th>\n                        <td id=\"T_015f1_row2922_col0\" class=\"data row2922 col0\" >38</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2923\" class=\"row_heading level0 row2923\" >034ce99cbcfad528c88d42eccea9ff533ee257b9</th>\n                        <td id=\"T_015f1_row2923_col0\" class=\"data row2923 col0\" >38</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2924\" class=\"row_heading level0 row2924\" >425ad7b3141d2545dea541f0bfa35974e3536662</th>\n                        <td id=\"T_015f1_row2924_col0\" class=\"data row2924 col0\" >38</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2925\" class=\"row_heading level0 row2925\" >10147c59685933a4f8f08093fd7e856eb5d8acbe</th>\n                        <td id=\"T_015f1_row2925_col0\" class=\"data row2925 col0\" >38</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2926\" class=\"row_heading level0 row2926\" >b8ef712faa248b9a37483521213a1d2094353d81</th>\n                        <td id=\"T_015f1_row2926_col0\" class=\"data row2926 col0\" >38</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2927\" class=\"row_heading level0 row2927\" >6471b2899033a43f16bfd62b8198ef9557a49f62</th>\n                        <td id=\"T_015f1_row2927_col0\" class=\"data row2927 col0\" >38</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2928\" class=\"row_heading level0 row2928\" >32ea6a1342a9ec15a1cce9e93a8bf946223022a7</th>\n                        <td id=\"T_015f1_row2928_col0\" class=\"data row2928 col0\" >38</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2929\" class=\"row_heading level0 row2929\" >c0d1a0ee61c5c8de5d076c7ffc0f303aa26dc834</th>\n                        <td id=\"T_015f1_row2929_col0\" class=\"data row2929 col0\" >38</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2930\" class=\"row_heading level0 row2930\" >6dd06b3bc00ead31f1be107a5949b88abbcbb4a6</th>\n                        <td id=\"T_015f1_row2930_col0\" class=\"data row2930 col0\" >38</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2931\" class=\"row_heading level0 row2931\" >5f774b0ee83a526837eb3ee5497f665550813f30</th>\n                        <td id=\"T_015f1_row2931_col0\" class=\"data row2931 col0\" >37</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2932\" class=\"row_heading level0 row2932\" >1bc791aa083b27ac6f8f388a860f386e6c387c87</th>\n                        <td id=\"T_015f1_row2932_col0\" class=\"data row2932 col0\" >37</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2933\" class=\"row_heading level0 row2933\" >0af75da8276f0b070ceef26576e2fa2ff294668c</th>\n                        <td id=\"T_015f1_row2933_col0\" class=\"data row2933 col0\" >37</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2934\" class=\"row_heading level0 row2934\" >e70b7bb075942671c9556195874fc8a4e30c31e3</th>\n                        <td id=\"T_015f1_row2934_col0\" class=\"data row2934 col0\" >37</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2935\" class=\"row_heading level0 row2935\" >b196e0fc2a561c6b899608a7cc5e293af97d4994</th>\n                        <td id=\"T_015f1_row2935_col0\" class=\"data row2935 col0\" >37</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2936\" class=\"row_heading level0 row2936\" >03c369bc84bccf58025fff55829a058c00f4d2d0</th>\n                        <td id=\"T_015f1_row2936_col0\" class=\"data row2936 col0\" >37</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2937\" class=\"row_heading level0 row2937\" >e820200cf04a548090dab710b8c837ac59f79306</th>\n                        <td id=\"T_015f1_row2937_col0\" class=\"data row2937 col0\" >37</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2938\" class=\"row_heading level0 row2938\" >183ab3bcdf3245a9f56d9112bc9dc187d005ca49</th>\n                        <td id=\"T_015f1_row2938_col0\" class=\"data row2938 col0\" >36</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2939\" class=\"row_heading level0 row2939\" >c56ab64a77dedb73084e8bb6452f677045addb99</th>\n                        <td id=\"T_015f1_row2939_col0\" class=\"data row2939 col0\" >36</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2940\" class=\"row_heading level0 row2940\" >d31e4d3a8599094b45ac3169b4a31e2877efc797</th>\n                        <td id=\"T_015f1_row2940_col0\" class=\"data row2940 col0\" >36</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2941\" class=\"row_heading level0 row2941\" >4bccb225d99386e2380487693d52658a1aa19892</th>\n                        <td id=\"T_015f1_row2941_col0\" class=\"data row2941 col0\" >36</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2942\" class=\"row_heading level0 row2942\" >6e0a4179f29700e930448690a5ee230b257b0d19</th>\n                        <td id=\"T_015f1_row2942_col0\" class=\"data row2942 col0\" >36</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2943\" class=\"row_heading level0 row2943\" >77eefcd9856c62370080270514ea6322bb6d4d2c</th>\n                        <td id=\"T_015f1_row2943_col0\" class=\"data row2943 col0\" >36</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2944\" class=\"row_heading level0 row2944\" >7ddfeabca7573e760f4489a5806bcabfc054c3fb</th>\n                        <td id=\"T_015f1_row2944_col0\" class=\"data row2944 col0\" >36</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2945\" class=\"row_heading level0 row2945\" >a7b2537002b71fccc3fb7c91709a080b3c70bbce</th>\n                        <td id=\"T_015f1_row2945_col0\" class=\"data row2945 col0\" >36</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2946\" class=\"row_heading level0 row2946\" >34f07696462796aa9aba361ea8de27c6bbb614f5</th>\n                        <td id=\"T_015f1_row2946_col0\" class=\"data row2946 col0\" >36</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2947\" class=\"row_heading level0 row2947\" >9fae059a2742b7f8b9a2caad61749d106b4787f6</th>\n                        <td id=\"T_015f1_row2947_col0\" class=\"data row2947 col0\" >36</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2948\" class=\"row_heading level0 row2948\" >c523e8ea069bb84fd37b461f10b07223015db09c</th>\n                        <td id=\"T_015f1_row2948_col0\" class=\"data row2948 col0\" >36</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2949\" class=\"row_heading level0 row2949\" >71dac00b7ab87627f73fea52c1d1b6d1278b63ab</th>\n                        <td id=\"T_015f1_row2949_col0\" class=\"data row2949 col0\" >36</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2950\" class=\"row_heading level0 row2950\" >1100e7292bb71bf064a85907d5e8fdb87e85e27e</th>\n                        <td id=\"T_015f1_row2950_col0\" class=\"data row2950 col0\" >36</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2951\" class=\"row_heading level0 row2951\" >c9975ccf53f7b502a62d89e90d604911bb762df9</th>\n                        <td id=\"T_015f1_row2951_col0\" class=\"data row2951 col0\" >36</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2952\" class=\"row_heading level0 row2952\" >27a6c86858626a02d42d811200cd85bd86e35c3d</th>\n                        <td id=\"T_015f1_row2952_col0\" class=\"data row2952 col0\" >36</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2953\" class=\"row_heading level0 row2953\" >6fcf56803d8dc92db56d7250afd50bbf06c915fe</th>\n                        <td id=\"T_015f1_row2953_col0\" class=\"data row2953 col0\" >36</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2954\" class=\"row_heading level0 row2954\" >b97c5ab02b6573e9a0d8bd6138b783df9eff4483</th>\n                        <td id=\"T_015f1_row2954_col0\" class=\"data row2954 col0\" >36</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2955\" class=\"row_heading level0 row2955\" >5ec6e53a14b44951696336268e8da05859d6d4b5</th>\n                        <td id=\"T_015f1_row2955_col0\" class=\"data row2955 col0\" >35</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2956\" class=\"row_heading level0 row2956\" >87117617f44b8bfcbec657172d0cbb37e52520e0</th>\n                        <td id=\"T_015f1_row2956_col0\" class=\"data row2956 col0\" >35</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2957\" class=\"row_heading level0 row2957\" >2f5ce6d978874f5ee224d234c74ba5e3465a6b03</th>\n                        <td id=\"T_015f1_row2957_col0\" class=\"data row2957 col0\" >35</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2958\" class=\"row_heading level0 row2958\" >cbb47fab42fc55207218dfd9bc17890149f3b44c</th>\n                        <td id=\"T_015f1_row2958_col0\" class=\"data row2958 col0\" >35</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2959\" class=\"row_heading level0 row2959\" >e667c1dba1fa5fa29c7e69a337fbd728a930d703</th>\n                        <td id=\"T_015f1_row2959_col0\" class=\"data row2959 col0\" >35</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2960\" class=\"row_heading level0 row2960\" >2c18e153fad8993c33d3f43749f1ae5effdbc99b</th>\n                        <td id=\"T_015f1_row2960_col0\" class=\"data row2960 col0\" >34</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2961\" class=\"row_heading level0 row2961\" >f7b1f6a7ead28494b5b6d5ecb43478cc3cf5e8da</th>\n                        <td id=\"T_015f1_row2961_col0\" class=\"data row2961 col0\" >34</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2962\" class=\"row_heading level0 row2962\" >ba24ae33f29c8a04a481367c9171cb2e9d70d16a</th>\n                        <td id=\"T_015f1_row2962_col0\" class=\"data row2962 col0\" >34</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2963\" class=\"row_heading level0 row2963\" >e1601d36e6baec6faecc40f5d0895639327443c0</th>\n                        <td id=\"T_015f1_row2963_col0\" class=\"data row2963 col0\" >34</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2964\" class=\"row_heading level0 row2964\" >c1ef29e87b303e87423c5aec98566fb042c861a4</th>\n                        <td id=\"T_015f1_row2964_col0\" class=\"data row2964 col0\" >34</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2965\" class=\"row_heading level0 row2965\" >797e1d3b82fe0b46e1502f07639cca108ba3ddaf</th>\n                        <td id=\"T_015f1_row2965_col0\" class=\"data row2965 col0\" >34</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2966\" class=\"row_heading level0 row2966\" >97fa42c1341c1d2958973f1fb563fc8632a7d368</th>\n                        <td id=\"T_015f1_row2966_col0\" class=\"data row2966 col0\" >33</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2967\" class=\"row_heading level0 row2967\" >d89106e0ceb554a5a150f10817348225ac9c158d</th>\n                        <td id=\"T_015f1_row2967_col0\" class=\"data row2967 col0\" >33</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2968\" class=\"row_heading level0 row2968\" >dc278b33c179b0b2b2e775fabe774dc6415f95d4</th>\n                        <td id=\"T_015f1_row2968_col0\" class=\"data row2968 col0\" >33</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2969\" class=\"row_heading level0 row2969\" >ba05984f18b5b4cab4d4883cee44756929b9990d</th>\n                        <td id=\"T_015f1_row2969_col0\" class=\"data row2969 col0\" >33</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2970\" class=\"row_heading level0 row2970\" >5b3d2ef538e9354a26d71249e62cbdc2c5e72446</th>\n                        <td id=\"T_015f1_row2970_col0\" class=\"data row2970 col0\" >33</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2971\" class=\"row_heading level0 row2971\" >4efed640958c9b5b1d2334dd6228e01278000843</th>\n                        <td id=\"T_015f1_row2971_col0\" class=\"data row2971 col0\" >33</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2972\" class=\"row_heading level0 row2972\" >8c077f9959ff86dc9f8836444618c2483f12e1ba</th>\n                        <td id=\"T_015f1_row2972_col0\" class=\"data row2972 col0\" >32</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2973\" class=\"row_heading level0 row2973\" >2ea35d7694986d032c58612ab9c3cdecbc9d4f1f</th>\n                        <td id=\"T_015f1_row2973_col0\" class=\"data row2973 col0\" >32</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2974\" class=\"row_heading level0 row2974\" >c38b1b81987d108377f7ba4425485ef4cd48acc2</th>\n                        <td id=\"T_015f1_row2974_col0\" class=\"data row2974 col0\" >32</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2975\" class=\"row_heading level0 row2975\" >350660c8bc7a628f3ddf079f0f6671ee92fe18e9</th>\n                        <td id=\"T_015f1_row2975_col0\" class=\"data row2975 col0\" >32</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2976\" class=\"row_heading level0 row2976\" >7c4be3162d429136e662c625fe4b1f30f9e74ea4</th>\n                        <td id=\"T_015f1_row2976_col0\" class=\"data row2976 col0\" >32</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2977\" class=\"row_heading level0 row2977\" >6f3c6eea71c195f4feede57eee8832a011a8640c</th>\n                        <td id=\"T_015f1_row2977_col0\" class=\"data row2977 col0\" >32</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2978\" class=\"row_heading level0 row2978\" >67ade87897d10497a8b9e774c2cd5c3e821783db</th>\n                        <td id=\"T_015f1_row2978_col0\" class=\"data row2978 col0\" >32</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2979\" class=\"row_heading level0 row2979\" >6e57c057f8eaff9accf88c192c5f3f66ef4480ce</th>\n                        <td id=\"T_015f1_row2979_col0\" class=\"data row2979 col0\" >32</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2980\" class=\"row_heading level0 row2980\" >b0d105d590d3dd2d57e721567551fda025f9cf62</th>\n                        <td id=\"T_015f1_row2980_col0\" class=\"data row2980 col0\" >31</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2981\" class=\"row_heading level0 row2981\" >5d20d121d6b20944e713cd30a9fc542b04c75374</th>\n                        <td id=\"T_015f1_row2981_col0\" class=\"data row2981 col0\" >31</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2982\" class=\"row_heading level0 row2982\" >f2a60e47d6545cae0f93a5b93004da8900ea8d62</th>\n                        <td id=\"T_015f1_row2982_col0\" class=\"data row2982 col0\" >31</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2983\" class=\"row_heading level0 row2983\" >9c027992989747bb680bf798c91130ed4d1b8d65</th>\n                        <td id=\"T_015f1_row2983_col0\" class=\"data row2983 col0\" >31</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2984\" class=\"row_heading level0 row2984\" >2fea779fda2eb36d9af3da2f03bf1da43cb913c6</th>\n                        <td id=\"T_015f1_row2984_col0\" class=\"data row2984 col0\" >31</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2985\" class=\"row_heading level0 row2985\" >25afd773902c3899387b34f2132732ae6ee3fa09</th>\n                        <td id=\"T_015f1_row2985_col0\" class=\"data row2985 col0\" >31</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2986\" class=\"row_heading level0 row2986\" >1002016b0ac78fb99c5fdb89e1f816df4aaacc38</th>\n                        <td id=\"T_015f1_row2986_col0\" class=\"data row2986 col0\" >31</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2987\" class=\"row_heading level0 row2987\" >a090771b075130f6cfa49f39ec0341a4f9bbde5e</th>\n                        <td id=\"T_015f1_row2987_col0\" class=\"data row2987 col0\" >31</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2988\" class=\"row_heading level0 row2988\" >ec6bd876ae19ede1cb3a6f9d77c039e428e40845</th>\n                        <td id=\"T_015f1_row2988_col0\" class=\"data row2988 col0\" >31</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2989\" class=\"row_heading level0 row2989\" >ce08009526b055c3bc28e3a745119e153fa3bf44</th>\n                        <td id=\"T_015f1_row2989_col0\" class=\"data row2989 col0\" >31</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2990\" class=\"row_heading level0 row2990\" >0300016be943084d45c80e9190ab89792f2e6386</th>\n                        <td id=\"T_015f1_row2990_col0\" class=\"data row2990 col0\" >31</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2991\" class=\"row_heading level0 row2991\" >c20be99068e069f7d22bc8a958733e188ef18262</th>\n                        <td id=\"T_015f1_row2991_col0\" class=\"data row2991 col0\" >31</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2992\" class=\"row_heading level0 row2992\" >bd504cda0114da7825d3c1a4a10905d4ad242cb0</th>\n                        <td id=\"T_015f1_row2992_col0\" class=\"data row2992 col0\" >31</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2993\" class=\"row_heading level0 row2993\" >0023c80b0e4cb8338cf25de26143bb0570a16471</th>\n                        <td id=\"T_015f1_row2993_col0\" class=\"data row2993 col0\" >31</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2994\" class=\"row_heading level0 row2994\" >30048d79855f82fb489c3a06bf236a0c4f3c1150</th>\n                        <td id=\"T_015f1_row2994_col0\" class=\"data row2994 col0\" >30</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2995\" class=\"row_heading level0 row2995\" >9d101f50b0297785b7ca6f89cde8a5b774da1b9b</th>\n                        <td id=\"T_015f1_row2995_col0\" class=\"data row2995 col0\" >30</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2996\" class=\"row_heading level0 row2996\" >44e645be08f54794764e09aaa1bde53a2a6ef5a1</th>\n                        <td id=\"T_015f1_row2996_col0\" class=\"data row2996 col0\" >30</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2997\" class=\"row_heading level0 row2997\" >c4c614886f489e3c9b7503f23f07cc549072a46f</th>\n                        <td id=\"T_015f1_row2997_col0\" class=\"data row2997 col0\" >30</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2998\" class=\"row_heading level0 row2998\" >4ab4df3a1584fd5b635b48434fac645a835f9772</th>\n                        <td id=\"T_015f1_row2998_col0\" class=\"data row2998 col0\" >30</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row2999\" class=\"row_heading level0 row2999\" >8a9be6c4fa86b37699fe94cfceb102c142e8871c</th>\n                        <td id=\"T_015f1_row2999_col0\" class=\"data row2999 col0\" >30</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3000\" class=\"row_heading level0 row3000\" >7fb0044142a2474b63226efd785f7e53356408fc</th>\n                        <td id=\"T_015f1_row3000_col0\" class=\"data row3000 col0\" >30</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3001\" class=\"row_heading level0 row3001\" >9decbda08c48b2e8b9019303311d2e39bdb26ed7</th>\n                        <td id=\"T_015f1_row3001_col0\" class=\"data row3001 col0\" >30</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3002\" class=\"row_heading level0 row3002\" >cdc5e9705a6fb0313a658d2f7b4a8cea1120e4c5</th>\n                        <td id=\"T_015f1_row3002_col0\" class=\"data row3002 col0\" >30</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3003\" class=\"row_heading level0 row3003\" >5acdd1b392b6e72caae986114336578937b29ca6</th>\n                        <td id=\"T_015f1_row3003_col0\" class=\"data row3003 col0\" >30</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3004\" class=\"row_heading level0 row3004\" >f25f7aeb960cea032d4090202c85db5d45447d2f</th>\n                        <td id=\"T_015f1_row3004_col0\" class=\"data row3004 col0\" >30</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3005\" class=\"row_heading level0 row3005\" >8e125c67fd253d5dba2362f6c6c77093eb754387</th>\n                        <td id=\"T_015f1_row3005_col0\" class=\"data row3005 col0\" >30</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3006\" class=\"row_heading level0 row3006\" >6bd230e5703a6abb6cc2b58a55894d33c854ca2d</th>\n                        <td id=\"T_015f1_row3006_col0\" class=\"data row3006 col0\" >30</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3007\" class=\"row_heading level0 row3007\" >974df65c6329b28aecfe0f2d2ad771209528c0ac</th>\n                        <td id=\"T_015f1_row3007_col0\" class=\"data row3007 col0\" >30</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3008\" class=\"row_heading level0 row3008\" >8c17a5a97c0db8132b355bf983e48e7c1d09f821</th>\n                        <td id=\"T_015f1_row3008_col0\" class=\"data row3008 col0\" >30</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3009\" class=\"row_heading level0 row3009\" >2444459d5f0b52036d3efb07872eb77cf992e437</th>\n                        <td id=\"T_015f1_row3009_col0\" class=\"data row3009 col0\" >29</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3010\" class=\"row_heading level0 row3010\" >494bbd76395b77376a6b8b2a2e64d62d61cb193d</th>\n                        <td id=\"T_015f1_row3010_col0\" class=\"data row3010 col0\" >29</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3011\" class=\"row_heading level0 row3011\" >4024357305e6b0cde20f182250040c8e378f9430</th>\n                        <td id=\"T_015f1_row3011_col0\" class=\"data row3011 col0\" >29</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3012\" class=\"row_heading level0 row3012\" >6f311690978e199e95ad23003eb1deb1d0b2f42b</th>\n                        <td id=\"T_015f1_row3012_col0\" class=\"data row3012 col0\" >29</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3013\" class=\"row_heading level0 row3013\" >2a1bd89115889eacd8ef93c0fa2584e238a098a8</th>\n                        <td id=\"T_015f1_row3013_col0\" class=\"data row3013 col0\" >28</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3014\" class=\"row_heading level0 row3014\" >6d0ee989292ab5ae21287276fd25bbd7240c7283</th>\n                        <td id=\"T_015f1_row3014_col0\" class=\"data row3014 col0\" >28</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3015\" class=\"row_heading level0 row3015\" >4808fb005c0bf1281c4ee2de8dbe170244fcb0dd</th>\n                        <td id=\"T_015f1_row3015_col0\" class=\"data row3015 col0\" >28</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3016\" class=\"row_heading level0 row3016\" >ffa034716a62f0313b4cc2a05576e594b5ae7bdc</th>\n                        <td id=\"T_015f1_row3016_col0\" class=\"data row3016 col0\" >28</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3017\" class=\"row_heading level0 row3017\" >7e44cc6c807fe154ba7fe97bca97030f6e610d2b</th>\n                        <td id=\"T_015f1_row3017_col0\" class=\"data row3017 col0\" >28</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3018\" class=\"row_heading level0 row3018\" >f7ffd8d67bc380e46eb64996fa02ca004a0964aa</th>\n                        <td id=\"T_015f1_row3018_col0\" class=\"data row3018 col0\" >28</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3019\" class=\"row_heading level0 row3019\" >0fab9fbea966644b28298ea84902f49d06158882</th>\n                        <td id=\"T_015f1_row3019_col0\" class=\"data row3019 col0\" >28</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3020\" class=\"row_heading level0 row3020\" >44ef7ac1694cff99485d6939d4ae22ced0738517</th>\n                        <td id=\"T_015f1_row3020_col0\" class=\"data row3020 col0\" >28</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3021\" class=\"row_heading level0 row3021\" >a156a57b7ef5f6dd0b20b6ee8b3a42c6c69bb237</th>\n                        <td id=\"T_015f1_row3021_col0\" class=\"data row3021 col0\" >28</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3022\" class=\"row_heading level0 row3022\" >941f6bb64c6120b32427b5df166e9cfb20591d0e</th>\n                        <td id=\"T_015f1_row3022_col0\" class=\"data row3022 col0\" >28</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3023\" class=\"row_heading level0 row3023\" >2e36ac7726d67a6687c82d8d95f6f3fe856adf14</th>\n                        <td id=\"T_015f1_row3023_col0\" class=\"data row3023 col0\" >28</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3024\" class=\"row_heading level0 row3024\" >fa7e2e8e54b2def4b791fabb73136c516a1953e2</th>\n                        <td id=\"T_015f1_row3024_col0\" class=\"data row3024 col0\" >28</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3025\" class=\"row_heading level0 row3025\" >a67580d62ed194d1cb2957033ae47ff7d13e93b9</th>\n                        <td id=\"T_015f1_row3025_col0\" class=\"data row3025 col0\" >27</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3026\" class=\"row_heading level0 row3026\" >4d04f0852a484cabad127b27bdc1d4f88881c651</th>\n                        <td id=\"T_015f1_row3026_col0\" class=\"data row3026 col0\" >27</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3027\" class=\"row_heading level0 row3027\" >984bd7dc2a680eaaf85955f278ecbcc9cacfe36c</th>\n                        <td id=\"T_015f1_row3027_col0\" class=\"data row3027 col0\" >27</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3028\" class=\"row_heading level0 row3028\" >764647b73552b101135cae8c74fefa1ab0740336</th>\n                        <td id=\"T_015f1_row3028_col0\" class=\"data row3028 col0\" >27</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3029\" class=\"row_heading level0 row3029\" >9e381a23197f3db6cbf4c258354219edb517bbe8</th>\n                        <td id=\"T_015f1_row3029_col0\" class=\"data row3029 col0\" >27</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3030\" class=\"row_heading level0 row3030\" >08eaa72555c2f81e4561dc267b2955a4d31070f1</th>\n                        <td id=\"T_015f1_row3030_col0\" class=\"data row3030 col0\" >27</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3031\" class=\"row_heading level0 row3031\" >5bcb20d281617927465b6a4128237b7fe58407b8</th>\n                        <td id=\"T_015f1_row3031_col0\" class=\"data row3031 col0\" >27</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3032\" class=\"row_heading level0 row3032\" >fa2119c19eca29273711a3fff97007aa131492c8</th>\n                        <td id=\"T_015f1_row3032_col0\" class=\"data row3032 col0\" >27</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3033\" class=\"row_heading level0 row3033\" >92915b7044ffc6b8ef5638de1408926c914e9c70</th>\n                        <td id=\"T_015f1_row3033_col0\" class=\"data row3033 col0\" >27</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3034\" class=\"row_heading level0 row3034\" >1fda19f37b8bc74f8a375926feca4cb14b234ea7</th>\n                        <td id=\"T_015f1_row3034_col0\" class=\"data row3034 col0\" >27</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3035\" class=\"row_heading level0 row3035\" >470e70178f0f24cb2485e9d94410c63a541a458f</th>\n                        <td id=\"T_015f1_row3035_col0\" class=\"data row3035 col0\" >27</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3036\" class=\"row_heading level0 row3036\" >c477f34bc979e1b12dd03fb6c7091a3710284770</th>\n                        <td id=\"T_015f1_row3036_col0\" class=\"data row3036 col0\" >27</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3037\" class=\"row_heading level0 row3037\" >6a088ce9259cd8bc9146feb4ac0386169532a34b</th>\n                        <td id=\"T_015f1_row3037_col0\" class=\"data row3037 col0\" >27</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3038\" class=\"row_heading level0 row3038\" >24892bef33e7772624d7e71fb41a13a26180e250</th>\n                        <td id=\"T_015f1_row3038_col0\" class=\"data row3038 col0\" >26</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3039\" class=\"row_heading level0 row3039\" >0235185b1ffbe48499aa88fad9f58aad7c31832f</th>\n                        <td id=\"T_015f1_row3039_col0\" class=\"data row3039 col0\" >26</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3040\" class=\"row_heading level0 row3040\" >10c36479e949ae124784b8e4147984234dd78cf0</th>\n                        <td id=\"T_015f1_row3040_col0\" class=\"data row3040 col0\" >26</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3041\" class=\"row_heading level0 row3041\" >547760f444fff48c5147fb83bb872c11fa98ab0a</th>\n                        <td id=\"T_015f1_row3041_col0\" class=\"data row3041 col0\" >25</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3042\" class=\"row_heading level0 row3042\" >d580534b8f8cc580ffe01edf64eeeccc4c0ee7e3</th>\n                        <td id=\"T_015f1_row3042_col0\" class=\"data row3042 col0\" >25</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3043\" class=\"row_heading level0 row3043\" >02f764b7b09485106263e56ed9573966b48c0ad7</th>\n                        <td id=\"T_015f1_row3043_col0\" class=\"data row3043 col0\" >25</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3044\" class=\"row_heading level0 row3044\" >a5ef49e07c40df042d1ae3ec20e13a06b8c1e954</th>\n                        <td id=\"T_015f1_row3044_col0\" class=\"data row3044 col0\" >25</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3045\" class=\"row_heading level0 row3045\" >28f863b09745352701fad49caa670b02567ae0f5</th>\n                        <td id=\"T_015f1_row3045_col0\" class=\"data row3045 col0\" >25</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3046\" class=\"row_heading level0 row3046\" >df6ff304b4f79236f47c89cc66daf7131273090a</th>\n                        <td id=\"T_015f1_row3046_col0\" class=\"data row3046 col0\" >25</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3047\" class=\"row_heading level0 row3047\" >e90989ad0753fceec7eaf6ff59267f523bbb807e</th>\n                        <td id=\"T_015f1_row3047_col0\" class=\"data row3047 col0\" >25</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3048\" class=\"row_heading level0 row3048\" >dd3a1c7dfdf95b1702afe637795f99a1dcc12db7</th>\n                        <td id=\"T_015f1_row3048_col0\" class=\"data row3048 col0\" >25</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3049\" class=\"row_heading level0 row3049\" >d72849aa9eb64e3e84963e16e787ff84adb6cd52</th>\n                        <td id=\"T_015f1_row3049_col0\" class=\"data row3049 col0\" >25</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3050\" class=\"row_heading level0 row3050\" >b7b4dfb9dc55ef1aef935f4573abb74a9200890b</th>\n                        <td id=\"T_015f1_row3050_col0\" class=\"data row3050 col0\" >25</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3051\" class=\"row_heading level0 row3051\" >abc7cc512a8755f596fa2bc6b17ebc64909c9293</th>\n                        <td id=\"T_015f1_row3051_col0\" class=\"data row3051 col0\" >25</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3052\" class=\"row_heading level0 row3052\" >3fc65116f204fbca3506d72438b7a54cd9dd519d</th>\n                        <td id=\"T_015f1_row3052_col0\" class=\"data row3052 col0\" >25</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3053\" class=\"row_heading level0 row3053\" >45cc25c422f9eb4fcfe2875019c7acd9a5e845f9</th>\n                        <td id=\"T_015f1_row3053_col0\" class=\"data row3053 col0\" >25</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3054\" class=\"row_heading level0 row3054\" >011aac59a4af0f887f3914bf0dca6263625e9c5b</th>\n                        <td id=\"T_015f1_row3054_col0\" class=\"data row3054 col0\" >24</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3055\" class=\"row_heading level0 row3055\" >92e3079b18810dcb1caa138a53b31be5161d222e</th>\n                        <td id=\"T_015f1_row3055_col0\" class=\"data row3055 col0\" >24</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3056\" class=\"row_heading level0 row3056\" >ccd7bc5be97e31e56f245d33fc53c4be08c734de</th>\n                        <td id=\"T_015f1_row3056_col0\" class=\"data row3056 col0\" >24</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3057\" class=\"row_heading level0 row3057\" >600bf9025ca9e57d4594115301964e9755cd03b9</th>\n                        <td id=\"T_015f1_row3057_col0\" class=\"data row3057 col0\" >24</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3058\" class=\"row_heading level0 row3058\" >c287d9521461488174fe7df2ed7e3f5c601b28b7</th>\n                        <td id=\"T_015f1_row3058_col0\" class=\"data row3058 col0\" >24</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3059\" class=\"row_heading level0 row3059\" >a838a20c89be03199191bad4566aa9adf425c33d</th>\n                        <td id=\"T_015f1_row3059_col0\" class=\"data row3059 col0\" >24</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3060\" class=\"row_heading level0 row3060\" >41e5894cf78c19bbf0837455554cfbcf092ffb6e</th>\n                        <td id=\"T_015f1_row3060_col0\" class=\"data row3060 col0\" >24</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3061\" class=\"row_heading level0 row3061\" >887ae5e12f9caeee0645619b3ef2843667cbbde2</th>\n                        <td id=\"T_015f1_row3061_col0\" class=\"data row3061 col0\" >23</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3062\" class=\"row_heading level0 row3062\" >3abcc1cec28f7ac8c52e4c67031e6acad9f6b430</th>\n                        <td id=\"T_015f1_row3062_col0\" class=\"data row3062 col0\" >23</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3063\" class=\"row_heading level0 row3063\" >9ccbe65fb73cb075df5d91e08d2ef1d9c11fb62f</th>\n                        <td id=\"T_015f1_row3063_col0\" class=\"data row3063 col0\" >23</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3064\" class=\"row_heading level0 row3064\" >c0c335df1066a513f30ce44a6b6b742c2443dd65</th>\n                        <td id=\"T_015f1_row3064_col0\" class=\"data row3064 col0\" >23</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3065\" class=\"row_heading level0 row3065\" >01846fc4449a414413024fbc6d2e9be1a2203f3c</th>\n                        <td id=\"T_015f1_row3065_col0\" class=\"data row3065 col0\" >23</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3066\" class=\"row_heading level0 row3066\" >4d6510d7a84fe532ca04839fa7250b8b37eb8527</th>\n                        <td id=\"T_015f1_row3066_col0\" class=\"data row3066 col0\" >23</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3067\" class=\"row_heading level0 row3067\" >ea917da3ce5753fe2d5a687779931073c78662cd</th>\n                        <td id=\"T_015f1_row3067_col0\" class=\"data row3067 col0\" >22</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3068\" class=\"row_heading level0 row3068\" >dafceecfdc51595b678af03da9fd14852461dd5f</th>\n                        <td id=\"T_015f1_row3068_col0\" class=\"data row3068 col0\" >22</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3069\" class=\"row_heading level0 row3069\" >cabcb23a102ae07a54efe380973726ff3e3b6c0e</th>\n                        <td id=\"T_015f1_row3069_col0\" class=\"data row3069 col0\" >22</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3070\" class=\"row_heading level0 row3070\" >e6c98ce88a005f360d797a14668114ef5bed1204</th>\n                        <td id=\"T_015f1_row3070_col0\" class=\"data row3070 col0\" >22</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3071\" class=\"row_heading level0 row3071\" >aecd9cc3d0c1640e971226c67678032d65747459</th>\n                        <td id=\"T_015f1_row3071_col0\" class=\"data row3071 col0\" >22</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3072\" class=\"row_heading level0 row3072\" >8473807be6770f3f7ee880b4b71c633398ec9459</th>\n                        <td id=\"T_015f1_row3072_col0\" class=\"data row3072 col0\" >22</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3073\" class=\"row_heading level0 row3073\" >1ad3144a286d2b32af03f8e275191f8c48c77e10</th>\n                        <td id=\"T_015f1_row3073_col0\" class=\"data row3073 col0\" >22</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3074\" class=\"row_heading level0 row3074\" >54364be90554b9f8106ceea4abf7effbf76477d5</th>\n                        <td id=\"T_015f1_row3074_col0\" class=\"data row3074 col0\" >22</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3075\" class=\"row_heading level0 row3075\" >00e2787f25a1d770f62ed57d08b9393c7105b00d</th>\n                        <td id=\"T_015f1_row3075_col0\" class=\"data row3075 col0\" >22</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3076\" class=\"row_heading level0 row3076\" >d54bb6c3933ead4a7df1d1731b1faf256bf901cd</th>\n                        <td id=\"T_015f1_row3076_col0\" class=\"data row3076 col0\" >22</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3077\" class=\"row_heading level0 row3077\" >4e96cf3af384595a9525336a2b32ee5f96fc6cab</th>\n                        <td id=\"T_015f1_row3077_col0\" class=\"data row3077 col0\" >21</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3078\" class=\"row_heading level0 row3078\" >79a0fabe8c62f402f3185844f46a116c0a13fb9e</th>\n                        <td id=\"T_015f1_row3078_col0\" class=\"data row3078 col0\" >21</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3079\" class=\"row_heading level0 row3079\" >24a0f97a301a419a64fd6f798bf3bb4a0292b758</th>\n                        <td id=\"T_015f1_row3079_col0\" class=\"data row3079 col0\" >21</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3080\" class=\"row_heading level0 row3080\" >f82f2b66702b3cd9836b2c023b18a993686f9a7f</th>\n                        <td id=\"T_015f1_row3080_col0\" class=\"data row3080 col0\" >21</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3081\" class=\"row_heading level0 row3081\" >380da08a7279a1947c76c0961bf2c7bfa8bb2eaf</th>\n                        <td id=\"T_015f1_row3081_col0\" class=\"data row3081 col0\" >21</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3082\" class=\"row_heading level0 row3082\" >1d9ce0f25acc0deb34a1413544d3d41c23afa074</th>\n                        <td id=\"T_015f1_row3082_col0\" class=\"data row3082 col0\" >20</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3083\" class=\"row_heading level0 row3083\" >e74cb99e513b56e50696b18c1ba5d4b414e8ec68</th>\n                        <td id=\"T_015f1_row3083_col0\" class=\"data row3083 col0\" >20</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3084\" class=\"row_heading level0 row3084\" >495a54753e74cc615adc1019749972b4e362e561</th>\n                        <td id=\"T_015f1_row3084_col0\" class=\"data row3084 col0\" >20</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3085\" class=\"row_heading level0 row3085\" >6e53995eb99731c76e4804cb193e160d60e03cff</th>\n                        <td id=\"T_015f1_row3085_col0\" class=\"data row3085 col0\" >20</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3086\" class=\"row_heading level0 row3086\" >5b570cf6c3aadf959cf9b5729bbad39de5b7640e</th>\n                        <td id=\"T_015f1_row3086_col0\" class=\"data row3086 col0\" >20</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3087\" class=\"row_heading level0 row3087\" >0f716266e0ccca67943fb72db70af3510ad54d2d</th>\n                        <td id=\"T_015f1_row3087_col0\" class=\"data row3087 col0\" >20</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3088\" class=\"row_heading level0 row3088\" >48be90ff375acd4d6a323e4d85ede7564cebd98a</th>\n                        <td id=\"T_015f1_row3088_col0\" class=\"data row3088 col0\" >20</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3089\" class=\"row_heading level0 row3089\" >67ee1b33f35100abdea396c82e0c796b126da69c</th>\n                        <td id=\"T_015f1_row3089_col0\" class=\"data row3089 col0\" >20</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3090\" class=\"row_heading level0 row3090\" >c37fbba31fbd505f3ddfa47b4ba300853e370ae9</th>\n                        <td id=\"T_015f1_row3090_col0\" class=\"data row3090 col0\" >20</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3091\" class=\"row_heading level0 row3091\" >1bd60d27b3bd5852ce2d96361abd8ff56fb3ce17</th>\n                        <td id=\"T_015f1_row3091_col0\" class=\"data row3091 col0\" >20</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3092\" class=\"row_heading level0 row3092\" >baa226cd1336764574f7b65fdb5b1a6651d23678</th>\n                        <td id=\"T_015f1_row3092_col0\" class=\"data row3092 col0\" >20</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3093\" class=\"row_heading level0 row3093\" >a0ce8776b39f6bf5fffcb250099e2ce2ad44045b</th>\n                        <td id=\"T_015f1_row3093_col0\" class=\"data row3093 col0\" >19</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3094\" class=\"row_heading level0 row3094\" >f07f8610c4005b9ab15107cca12beb1ccceb0fcc</th>\n                        <td id=\"T_015f1_row3094_col0\" class=\"data row3094 col0\" >19</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3095\" class=\"row_heading level0 row3095\" >21962dd501e6bfb51ad0b9a28b2d8c7acb691365</th>\n                        <td id=\"T_015f1_row3095_col0\" class=\"data row3095 col0\" >19</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3096\" class=\"row_heading level0 row3096\" >1b95123b872ae31183046bc99a838e81ad4f0aeb</th>\n                        <td id=\"T_015f1_row3096_col0\" class=\"data row3096 col0\" >19</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3097\" class=\"row_heading level0 row3097\" >0b2b3b643787fff7ccd772a4715b4b8750fa4fe7</th>\n                        <td id=\"T_015f1_row3097_col0\" class=\"data row3097 col0\" >19</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3098\" class=\"row_heading level0 row3098\" >d86652492a2d7f0866d0320a692df38346f59bc2</th>\n                        <td id=\"T_015f1_row3098_col0\" class=\"data row3098 col0\" >19</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3099\" class=\"row_heading level0 row3099\" >e70178131c80d547f6408cae8dbdfd80471f2c25</th>\n                        <td id=\"T_015f1_row3099_col0\" class=\"data row3099 col0\" >19</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3100\" class=\"row_heading level0 row3100\" >9d699ed04a3f23f6c98473e837d0040e6fee2eaf</th>\n                        <td id=\"T_015f1_row3100_col0\" class=\"data row3100 col0\" >19</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3101\" class=\"row_heading level0 row3101\" >934bbd3b761510f8c1607b468dc95babae66bb24</th>\n                        <td id=\"T_015f1_row3101_col0\" class=\"data row3101 col0\" >19</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3102\" class=\"row_heading level0 row3102\" >0b932c7ec14718d969d955dbaa0b3fb31907638a</th>\n                        <td id=\"T_015f1_row3102_col0\" class=\"data row3102 col0\" >18</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3103\" class=\"row_heading level0 row3103\" >ad47c8dc51fc2addb48ba8e2cadd63e7f6f1e6e5</th>\n                        <td id=\"T_015f1_row3103_col0\" class=\"data row3103 col0\" >18</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3104\" class=\"row_heading level0 row3104\" >d517f3e497b40330fe02799ac805801123401583</th>\n                        <td id=\"T_015f1_row3104_col0\" class=\"data row3104 col0\" >18</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3105\" class=\"row_heading level0 row3105\" >2c209c36b13833b87569fbe487e5f89424acaa18</th>\n                        <td id=\"T_015f1_row3105_col0\" class=\"data row3105 col0\" >18</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3106\" class=\"row_heading level0 row3106\" >bb5f4c9f15dc2d65020da63290527d207042e5e5</th>\n                        <td id=\"T_015f1_row3106_col0\" class=\"data row3106 col0\" >18</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3107\" class=\"row_heading level0 row3107\" >2c745ef9ec0ef01bf935b6f811cfb28b2c6cb00e</th>\n                        <td id=\"T_015f1_row3107_col0\" class=\"data row3107 col0\" >18</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3108\" class=\"row_heading level0 row3108\" >be89b98c42fed7dba9907ecd94862834a9103b10</th>\n                        <td id=\"T_015f1_row3108_col0\" class=\"data row3108 col0\" >18</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3109\" class=\"row_heading level0 row3109\" >2bd13335eb3a7f86732339c472db9b483c1d8570</th>\n                        <td id=\"T_015f1_row3109_col0\" class=\"data row3109 col0\" >18</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3110\" class=\"row_heading level0 row3110\" >9a98ba795c92a041be6213ba9c30cf00fbe9be3c</th>\n                        <td id=\"T_015f1_row3110_col0\" class=\"data row3110 col0\" >18</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3111\" class=\"row_heading level0 row3111\" >30643182db980d95890fdbc8255f0663d9be920b</th>\n                        <td id=\"T_015f1_row3111_col0\" class=\"data row3111 col0\" >18</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3112\" class=\"row_heading level0 row3112\" >32cb4ace17965d8760e5b2fef4bbb8dca857d9a1</th>\n                        <td id=\"T_015f1_row3112_col0\" class=\"data row3112 col0\" >18</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3113\" class=\"row_heading level0 row3113\" >ed719a231a8a82b0f288525a1c08fe3178ab2aeb</th>\n                        <td id=\"T_015f1_row3113_col0\" class=\"data row3113 col0\" >18</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3114\" class=\"row_heading level0 row3114\" >cd3fe5b513d5040093859eea50db52a3c5e496ff</th>\n                        <td id=\"T_015f1_row3114_col0\" class=\"data row3114 col0\" >17</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3115\" class=\"row_heading level0 row3115\" >c90805a75a351241b73d6882e74fa80bbbdf8527</th>\n                        <td id=\"T_015f1_row3115_col0\" class=\"data row3115 col0\" >17</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3116\" class=\"row_heading level0 row3116\" >2c9fa95b6dac96c90fd87e852e8d473ea89f0776</th>\n                        <td id=\"T_015f1_row3116_col0\" class=\"data row3116 col0\" >17</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3117\" class=\"row_heading level0 row3117\" >2bc64d91e8e529a61aed167a4e836946a42936d3</th>\n                        <td id=\"T_015f1_row3117_col0\" class=\"data row3117 col0\" >17</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3118\" class=\"row_heading level0 row3118\" >d19d9616ce87306aa631d18dc9e31c0086ee39e5</th>\n                        <td id=\"T_015f1_row3118_col0\" class=\"data row3118 col0\" >17</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3119\" class=\"row_heading level0 row3119\" >de172cda2a286efdda303713682f8ed6e34c50ed</th>\n                        <td id=\"T_015f1_row3119_col0\" class=\"data row3119 col0\" >17</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3120\" class=\"row_heading level0 row3120\" >5f9e9e2546f83499a6a9246ffe07868c2809f4f7</th>\n                        <td id=\"T_015f1_row3120_col0\" class=\"data row3120 col0\" >17</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3121\" class=\"row_heading level0 row3121\" >d63687675660122e071cfb402fd181c1b5fa7b61</th>\n                        <td id=\"T_015f1_row3121_col0\" class=\"data row3121 col0\" >17</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3122\" class=\"row_heading level0 row3122\" >5436c4b428d22db74a86d63490d77eb4fa8cbddb</th>\n                        <td id=\"T_015f1_row3122_col0\" class=\"data row3122 col0\" >17</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3123\" class=\"row_heading level0 row3123\" >c83dda79505ed3f127d09783cd2899d33f527c61</th>\n                        <td id=\"T_015f1_row3123_col0\" class=\"data row3123 col0\" >17</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3124\" class=\"row_heading level0 row3124\" >1ef0b2d56cae46c17935efe969e01050adce1703</th>\n                        <td id=\"T_015f1_row3124_col0\" class=\"data row3124 col0\" >17</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3125\" class=\"row_heading level0 row3125\" >c0f1f86c022a8eabb1317dd75860d522b95ade76</th>\n                        <td id=\"T_015f1_row3125_col0\" class=\"data row3125 col0\" >17</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3126\" class=\"row_heading level0 row3126\" >6a8115723fd7a86966a14abe1db59c9a92a1d6ea</th>\n                        <td id=\"T_015f1_row3126_col0\" class=\"data row3126 col0\" >17</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3127\" class=\"row_heading level0 row3127\" >a4aa73b3254f45f4e4a6caef9bfa5790ce359c21</th>\n                        <td id=\"T_015f1_row3127_col0\" class=\"data row3127 col0\" >17</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3128\" class=\"row_heading level0 row3128\" >a1582dc5c7b08264ea8663b1d6bccd6b424b86bf</th>\n                        <td id=\"T_015f1_row3128_col0\" class=\"data row3128 col0\" >17</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3129\" class=\"row_heading level0 row3129\" >9e6d452d2191b214ee714fbf728f717d5fa1db73</th>\n                        <td id=\"T_015f1_row3129_col0\" class=\"data row3129 col0\" >17</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3130\" class=\"row_heading level0 row3130\" >9e5f238cf72429621eb8449634b9af8a3e85db6e</th>\n                        <td id=\"T_015f1_row3130_col0\" class=\"data row3130 col0\" >17</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3131\" class=\"row_heading level0 row3131\" >24c75fba7353aef1bef60c51f952260d374034b9</th>\n                        <td id=\"T_015f1_row3131_col0\" class=\"data row3131 col0\" >17</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3132\" class=\"row_heading level0 row3132\" >02eb2d69ac77b3bf6790139cb1a3b3c4571ecad4</th>\n                        <td id=\"T_015f1_row3132_col0\" class=\"data row3132 col0\" >17</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3133\" class=\"row_heading level0 row3133\" >6fea8bee942b3e47ac8d91b189c3710af76cec39</th>\n                        <td id=\"T_015f1_row3133_col0\" class=\"data row3133 col0\" >16</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3134\" class=\"row_heading level0 row3134\" >3efea9d2815861aa45ecbfce796ca4441d3a5262</th>\n                        <td id=\"T_015f1_row3134_col0\" class=\"data row3134 col0\" >16</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3135\" class=\"row_heading level0 row3135\" >53ce28569abce99c69eec7ceb9775ee42354381c</th>\n                        <td id=\"T_015f1_row3135_col0\" class=\"data row3135 col0\" >16</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3136\" class=\"row_heading level0 row3136\" >270b80d09f9ebb110146690094212c27d0b4e662</th>\n                        <td id=\"T_015f1_row3136_col0\" class=\"data row3136 col0\" >16</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3137\" class=\"row_heading level0 row3137\" >a9cf7a36797077c293e1bc9e8a424baab71caee9</th>\n                        <td id=\"T_015f1_row3137_col0\" class=\"data row3137 col0\" >16</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3138\" class=\"row_heading level0 row3138\" >0836c00718b9a55ea3f833d33de002cf17a7f0fb</th>\n                        <td id=\"T_015f1_row3138_col0\" class=\"data row3138 col0\" >16</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3139\" class=\"row_heading level0 row3139\" >2330cc403113364cd9d4226bbe76daa28e92baed</th>\n                        <td id=\"T_015f1_row3139_col0\" class=\"data row3139 col0\" >16</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3140\" class=\"row_heading level0 row3140\" >429f379ea67c083daf29dd178a0a6c21f59d99f3</th>\n                        <td id=\"T_015f1_row3140_col0\" class=\"data row3140 col0\" >16</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3141\" class=\"row_heading level0 row3141\" >4b02b3441665e1460f810853416a2fe3dfefacf3</th>\n                        <td id=\"T_015f1_row3141_col0\" class=\"data row3141 col0\" >15</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3142\" class=\"row_heading level0 row3142\" >62102e7a10bcb197f444a335ece73bf944f24e94</th>\n                        <td id=\"T_015f1_row3142_col0\" class=\"data row3142 col0\" >15</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3143\" class=\"row_heading level0 row3143\" >e95654c4ebc092ae1845ba174839a8fc0e5c92b4</th>\n                        <td id=\"T_015f1_row3143_col0\" class=\"data row3143 col0\" >15</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3144\" class=\"row_heading level0 row3144\" >6090f1625689ac5935f1ee18027747418741c693</th>\n                        <td id=\"T_015f1_row3144_col0\" class=\"data row3144 col0\" >15</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3145\" class=\"row_heading level0 row3145\" >f870c9c3933df9fa7631d6af00c90297dd113b78</th>\n                        <td id=\"T_015f1_row3145_col0\" class=\"data row3145 col0\" >15</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3146\" class=\"row_heading level0 row3146\" >3f91d301e4018915dd0b4fe49ca951375db4389b</th>\n                        <td id=\"T_015f1_row3146_col0\" class=\"data row3146 col0\" >15</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3147\" class=\"row_heading level0 row3147\" >cd3adbd3e7b047a68df305d1639f59b3fa218163</th>\n                        <td id=\"T_015f1_row3147_col0\" class=\"data row3147 col0\" >15</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3148\" class=\"row_heading level0 row3148\" >9a6aa19492dc44135ced7bb1642d304dae723cb0</th>\n                        <td id=\"T_015f1_row3148_col0\" class=\"data row3148 col0\" >15</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3149\" class=\"row_heading level0 row3149\" >b1c1ab46e0d70015a17c3e4adb8457ed8410b6b9</th>\n                        <td id=\"T_015f1_row3149_col0\" class=\"data row3149 col0\" >15</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3150\" class=\"row_heading level0 row3150\" >b0f82ffbccfb89a723d767bfd071ed2d9a5d43ce</th>\n                        <td id=\"T_015f1_row3150_col0\" class=\"data row3150 col0\" >15</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3151\" class=\"row_heading level0 row3151\" >9e6c6ea99d2f707a29284c9eea06d17d4db84354</th>\n                        <td id=\"T_015f1_row3151_col0\" class=\"data row3151 col0\" >15</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3152\" class=\"row_heading level0 row3152\" >01ead5ee97d0329b2c228fece5a96b0358a3cab1</th>\n                        <td id=\"T_015f1_row3152_col0\" class=\"data row3152 col0\" >15</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3153\" class=\"row_heading level0 row3153\" >362ff46c08365f185929a6b0663d7cb2712091de</th>\n                        <td id=\"T_015f1_row3153_col0\" class=\"data row3153 col0\" >15</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3154\" class=\"row_heading level0 row3154\" >d4bb3cf9017101e320a1608eae4b779eefed1da3</th>\n                        <td id=\"T_015f1_row3154_col0\" class=\"data row3154 col0\" >15</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3155\" class=\"row_heading level0 row3155\" >a861adc9e4642eefab44c3e3370fdbda2f709064</th>\n                        <td id=\"T_015f1_row3155_col0\" class=\"data row3155 col0\" >15</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3156\" class=\"row_heading level0 row3156\" >45a097b36f1372e2d6424c78b28f8e99b73db557</th>\n                        <td id=\"T_015f1_row3156_col0\" class=\"data row3156 col0\" >15</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3157\" class=\"row_heading level0 row3157\" >d16001127911cd8aad3e6e09663802d8748cd68e</th>\n                        <td id=\"T_015f1_row3157_col0\" class=\"data row3157 col0\" >15</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3158\" class=\"row_heading level0 row3158\" >cfc20134b67eae4adf9ae99964160fae0fedae1a</th>\n                        <td id=\"T_015f1_row3158_col0\" class=\"data row3158 col0\" >15</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3159\" class=\"row_heading level0 row3159\" >aec7051c209b1db6ecddb83ce36421d753988021</th>\n                        <td id=\"T_015f1_row3159_col0\" class=\"data row3159 col0\" >15</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3160\" class=\"row_heading level0 row3160\" >2d6052491664e2104ca27804829788bfe2584db8</th>\n                        <td id=\"T_015f1_row3160_col0\" class=\"data row3160 col0\" >15</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3161\" class=\"row_heading level0 row3161\" >d213691cebd660b47f723385d9dcca7887695abd</th>\n                        <td id=\"T_015f1_row3161_col0\" class=\"data row3161 col0\" >15</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3162\" class=\"row_heading level0 row3162\" >2a28fc2bbfa3d6ae49a03dffdc652328c67d51af</th>\n                        <td id=\"T_015f1_row3162_col0\" class=\"data row3162 col0\" >15</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3163\" class=\"row_heading level0 row3163\" >460a0aa0ab3e153627a924b4b8564262bf39ceab</th>\n                        <td id=\"T_015f1_row3163_col0\" class=\"data row3163 col0\" >15</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3164\" class=\"row_heading level0 row3164\" >196f7aa37ec0ab4f9cd9a4bec13f45a952a7cefe</th>\n                        <td id=\"T_015f1_row3164_col0\" class=\"data row3164 col0\" >15</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3165\" class=\"row_heading level0 row3165\" >b3028284d509692e0d0dc36203505cd7b58d2545</th>\n                        <td id=\"T_015f1_row3165_col0\" class=\"data row3165 col0\" >15</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3166\" class=\"row_heading level0 row3166\" >b0e0d85b9bfbedce7c8995afc2a78150b3ae9545</th>\n                        <td id=\"T_015f1_row3166_col0\" class=\"data row3166 col0\" >15</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3167\" class=\"row_heading level0 row3167\" >4edeb875f66a7fefb2a481c1eef468d2e2b11d51</th>\n                        <td id=\"T_015f1_row3167_col0\" class=\"data row3167 col0\" >15</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3168\" class=\"row_heading level0 row3168\" >22125eb277ff8512a07cfda49ce97a1ad8738bfb</th>\n                        <td id=\"T_015f1_row3168_col0\" class=\"data row3168 col0\" >15</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3169\" class=\"row_heading level0 row3169\" >35e02baaefd4e7c076667ecadce166c2d2f09977</th>\n                        <td id=\"T_015f1_row3169_col0\" class=\"data row3169 col0\" >15</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3170\" class=\"row_heading level0 row3170\" >babb75e9042f59ef638226977c0021f511dd39ac</th>\n                        <td id=\"T_015f1_row3170_col0\" class=\"data row3170 col0\" >15</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3171\" class=\"row_heading level0 row3171\" >f66aaf60ce10feca1d4be74141f22e032e087318</th>\n                        <td id=\"T_015f1_row3171_col0\" class=\"data row3171 col0\" >15</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3172\" class=\"row_heading level0 row3172\" >0596dc6cdf11b18ea980376cad3b51fd36f29e38</th>\n                        <td id=\"T_015f1_row3172_col0\" class=\"data row3172 col0\" >15</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3173\" class=\"row_heading level0 row3173\" >b1ecfa2630d6c5a8d35a98c0c2fa60c9e428ea60</th>\n                        <td id=\"T_015f1_row3173_col0\" class=\"data row3173 col0\" >15</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3174\" class=\"row_heading level0 row3174\" >1c64fc59c0fe56cc236ddbc731ea3115d2635829</th>\n                        <td id=\"T_015f1_row3174_col0\" class=\"data row3174 col0\" >15</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3175\" class=\"row_heading level0 row3175\" >9521ca01f3ef9317bb5b37ff2622447b23bf5c39</th>\n                        <td id=\"T_015f1_row3175_col0\" class=\"data row3175 col0\" >15</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3176\" class=\"row_heading level0 row3176\" >c88852a20a5cc1e523640227b880734774947bce</th>\n                        <td id=\"T_015f1_row3176_col0\" class=\"data row3176 col0\" >15</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3177\" class=\"row_heading level0 row3177\" >1790b48fd2a93e07900d2a6f39565cfd095ef345</th>\n                        <td id=\"T_015f1_row3177_col0\" class=\"data row3177 col0\" >14</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3178\" class=\"row_heading level0 row3178\" >f051e2c449105925d03b51897201528d4ff8888b</th>\n                        <td id=\"T_015f1_row3178_col0\" class=\"data row3178 col0\" >14</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3179\" class=\"row_heading level0 row3179\" >550e51f4305446632aa62fe87e60cb08cf14fb6a</th>\n                        <td id=\"T_015f1_row3179_col0\" class=\"data row3179 col0\" >14</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3180\" class=\"row_heading level0 row3180\" >6cb1c469f766c0197280aca0693474c0f4e3c14d</th>\n                        <td id=\"T_015f1_row3180_col0\" class=\"data row3180 col0\" >14</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3181\" class=\"row_heading level0 row3181\" >d4ad4013d2f94ec159432bf573244ce556abebc8</th>\n                        <td id=\"T_015f1_row3181_col0\" class=\"data row3181 col0\" >14</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3182\" class=\"row_heading level0 row3182\" >3f63bea373d09915e6d4b7165ad63f79c03690d6</th>\n                        <td id=\"T_015f1_row3182_col0\" class=\"data row3182 col0\" >14</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3183\" class=\"row_heading level0 row3183\" >0089ad1dd75b13e2c3ceda344988c9f89a83a2f9</th>\n                        <td id=\"T_015f1_row3183_col0\" class=\"data row3183 col0\" >14</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3184\" class=\"row_heading level0 row3184\" >3ab5d45db195218d5ab0a654a4686b48666bb025</th>\n                        <td id=\"T_015f1_row3184_col0\" class=\"data row3184 col0\" >14</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3185\" class=\"row_heading level0 row3185\" >c4b51050aa7751e6cbf2d92e1e0c317f25ab0798</th>\n                        <td id=\"T_015f1_row3185_col0\" class=\"data row3185 col0\" >14</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3186\" class=\"row_heading level0 row3186\" >157622185f9425704eec3352913a2ddcc88bb73e</th>\n                        <td id=\"T_015f1_row3186_col0\" class=\"data row3186 col0\" >14</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3187\" class=\"row_heading level0 row3187\" >3385f40971720cf95e91d2886d2f0e4486f95672</th>\n                        <td id=\"T_015f1_row3187_col0\" class=\"data row3187 col0\" >14</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3188\" class=\"row_heading level0 row3188\" >e9de41467f11478ce269118e8769a5ccd248f77b</th>\n                        <td id=\"T_015f1_row3188_col0\" class=\"data row3188 col0\" >14</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3189\" class=\"row_heading level0 row3189\" >45ad21314f152200bedc352ebc210a8dacd9a991</th>\n                        <td id=\"T_015f1_row3189_col0\" class=\"data row3189 col0\" >14</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3190\" class=\"row_heading level0 row3190\" >38f67f76a7140480c98b390bc0862b82b4298b18</th>\n                        <td id=\"T_015f1_row3190_col0\" class=\"data row3190 col0\" >14</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3191\" class=\"row_heading level0 row3191\" >5f3f09bb855d123a670f5c19ba5f85a32338c0ca</th>\n                        <td id=\"T_015f1_row3191_col0\" class=\"data row3191 col0\" >14</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3192\" class=\"row_heading level0 row3192\" >f3048461a09f32316777250e061dcb46ec2f753a</th>\n                        <td id=\"T_015f1_row3192_col0\" class=\"data row3192 col0\" >14</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3193\" class=\"row_heading level0 row3193\" >3699f0e3d5cb028f0fa8186069727860ecb06e64</th>\n                        <td id=\"T_015f1_row3193_col0\" class=\"data row3193 col0\" >14</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3194\" class=\"row_heading level0 row3194\" >3b34c045598e5a782f318e08134d17d3fe2b80fc</th>\n                        <td id=\"T_015f1_row3194_col0\" class=\"data row3194 col0\" >14</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3195\" class=\"row_heading level0 row3195\" >e425779df2dab8e11e9a060513d9be81de2a9556</th>\n                        <td id=\"T_015f1_row3195_col0\" class=\"data row3195 col0\" >14</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3196\" class=\"row_heading level0 row3196\" >5152401d1a02fd71fc6b7a8e39e758f8b94f9f77</th>\n                        <td id=\"T_015f1_row3196_col0\" class=\"data row3196 col0\" >14</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3197\" class=\"row_heading level0 row3197\" >a0618ea8d8c887f1585e3df0aa9096c46770648e</th>\n                        <td id=\"T_015f1_row3197_col0\" class=\"data row3197 col0\" >14</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3198\" class=\"row_heading level0 row3198\" >f5056b8fef3ebc4efd88c00a9c733ef53361c6e8</th>\n                        <td id=\"T_015f1_row3198_col0\" class=\"data row3198 col0\" >14</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3199\" class=\"row_heading level0 row3199\" >4ec31d4654cb6f1933ecbbe7ed3ed50256376c73</th>\n                        <td id=\"T_015f1_row3199_col0\" class=\"data row3199 col0\" >14</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3200\" class=\"row_heading level0 row3200\" >85919993d8dd2ac73ceeda7d1ad20fe66d1d6430</th>\n                        <td id=\"T_015f1_row3200_col0\" class=\"data row3200 col0\" >14</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3201\" class=\"row_heading level0 row3201\" >d4f1ab676954496b6037bc8ea8089af240fe3e1a</th>\n                        <td id=\"T_015f1_row3201_col0\" class=\"data row3201 col0\" >14</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3202\" class=\"row_heading level0 row3202\" >63fc74b62797f08a81714e1be1f275cb46621a25</th>\n                        <td id=\"T_015f1_row3202_col0\" class=\"data row3202 col0\" >14</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3203\" class=\"row_heading level0 row3203\" >8e4b146fe9dc1f9b2719f18a130601b8609989cf</th>\n                        <td id=\"T_015f1_row3203_col0\" class=\"data row3203 col0\" >14</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3204\" class=\"row_heading level0 row3204\" >feb15bdc09e48920ebf0b57460d7e70fe45c0553</th>\n                        <td id=\"T_015f1_row3204_col0\" class=\"data row3204 col0\" >13</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3205\" class=\"row_heading level0 row3205\" >1091701a81eb048a93dc9b331352077863da2aec</th>\n                        <td id=\"T_015f1_row3205_col0\" class=\"data row3205 col0\" >13</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3206\" class=\"row_heading level0 row3206\" >52485d4dbf83f34fff3f9e72f6b71fbc65539676</th>\n                        <td id=\"T_015f1_row3206_col0\" class=\"data row3206 col0\" >13</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3207\" class=\"row_heading level0 row3207\" >b44f147b47b09f5e696aa0b5316a9a4c587d99f5</th>\n                        <td id=\"T_015f1_row3207_col0\" class=\"data row3207 col0\" >13</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3208\" class=\"row_heading level0 row3208\" >1c6c66fa50799c7d230a771ed86191649eeb868f</th>\n                        <td id=\"T_015f1_row3208_col0\" class=\"data row3208 col0\" >13</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3209\" class=\"row_heading level0 row3209\" >852303f17daf7d1313f763e07f9a4239725be668</th>\n                        <td id=\"T_015f1_row3209_col0\" class=\"data row3209 col0\" >13</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3210\" class=\"row_heading level0 row3210\" >7e010c413449eec104d47a0d76cc5e3229ceea1c</th>\n                        <td id=\"T_015f1_row3210_col0\" class=\"data row3210 col0\" >13</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3211\" class=\"row_heading level0 row3211\" >42593c034887579d9b0fe1cb877b227ca9a66a32</th>\n                        <td id=\"T_015f1_row3211_col0\" class=\"data row3211 col0\" >13</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3212\" class=\"row_heading level0 row3212\" >22f1bf243d0c5920aa14ed093fcfd2ebc69cbf28</th>\n                        <td id=\"T_015f1_row3212_col0\" class=\"data row3212 col0\" >13</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3213\" class=\"row_heading level0 row3213\" >9c47824235d6b2f7f73e7093470bffe8d31dd4e1</th>\n                        <td id=\"T_015f1_row3213_col0\" class=\"data row3213 col0\" >13</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3214\" class=\"row_heading level0 row3214\" >ce9efeedc11a49c9de719ee5747a584bf3dc05b4</th>\n                        <td id=\"T_015f1_row3214_col0\" class=\"data row3214 col0\" >13</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3215\" class=\"row_heading level0 row3215\" >6970625a5facf25ab4c5bfe63d2b97e1adf1336b</th>\n                        <td id=\"T_015f1_row3215_col0\" class=\"data row3215 col0\" >13</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3216\" class=\"row_heading level0 row3216\" >d435fedd1ddbc74000d60f7d41342c4134fa6990</th>\n                        <td id=\"T_015f1_row3216_col0\" class=\"data row3216 col0\" >13</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3217\" class=\"row_heading level0 row3217\" >d4665e48bed483c9376e80a81083aec77bc650e9</th>\n                        <td id=\"T_015f1_row3217_col0\" class=\"data row3217 col0\" >13</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3218\" class=\"row_heading level0 row3218\" >78838348339ee90371beb07b50984b831e747185</th>\n                        <td id=\"T_015f1_row3218_col0\" class=\"data row3218 col0\" >13</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3219\" class=\"row_heading level0 row3219\" >7beca985d7377dd9f8875740cc45b826b3496b37</th>\n                        <td id=\"T_015f1_row3219_col0\" class=\"data row3219 col0\" >13</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3220\" class=\"row_heading level0 row3220\" >7dabcb98c8f16090df81853f3f547cb13c7200b3</th>\n                        <td id=\"T_015f1_row3220_col0\" class=\"data row3220 col0\" >13</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3221\" class=\"row_heading level0 row3221\" >81a376f1a430509d411aadd6d0fa4ecfe94bfa43</th>\n                        <td id=\"T_015f1_row3221_col0\" class=\"data row3221 col0\" >13</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3222\" class=\"row_heading level0 row3222\" >31595a6c2bd3a944b144685a2f117715520fd417</th>\n                        <td id=\"T_015f1_row3222_col0\" class=\"data row3222 col0\" >13</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3223\" class=\"row_heading level0 row3223\" >86abee039e11567763ccc2e6939f55a3d8297613</th>\n                        <td id=\"T_015f1_row3223_col0\" class=\"data row3223 col0\" >13</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3224\" class=\"row_heading level0 row3224\" >ded24932eef79bcb29e8fb27ec987661fba68550</th>\n                        <td id=\"T_015f1_row3224_col0\" class=\"data row3224 col0\" >13</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3225\" class=\"row_heading level0 row3225\" >2ad1fb1f480fa79901f4300e6f49c4fb62b3c374</th>\n                        <td id=\"T_015f1_row3225_col0\" class=\"data row3225 col0\" >13</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3226\" class=\"row_heading level0 row3226\" >e8d2362889a542df3614b5c19e5f5f57c5f5ecc3</th>\n                        <td id=\"T_015f1_row3226_col0\" class=\"data row3226 col0\" >13</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3227\" class=\"row_heading level0 row3227\" >966c43ea0250eba77ec615eccfe18625850d65af</th>\n                        <td id=\"T_015f1_row3227_col0\" class=\"data row3227 col0\" >13</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3228\" class=\"row_heading level0 row3228\" >ca2d4a7071d2cd34e6ff6a2d20f5e614efd33ba8</th>\n                        <td id=\"T_015f1_row3228_col0\" class=\"data row3228 col0\" >13</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3229\" class=\"row_heading level0 row3229\" >9aa56421c8635c000aed23ce8a5902dd5213f18c</th>\n                        <td id=\"T_015f1_row3229_col0\" class=\"data row3229 col0\" >13</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3230\" class=\"row_heading level0 row3230\" >cda785a670b1dfb74431b92a4dff4c4eebb612e9</th>\n                        <td id=\"T_015f1_row3230_col0\" class=\"data row3230 col0\" >13</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3231\" class=\"row_heading level0 row3231\" >ecbfa2cd81995b3c40995bf546cbe68724561575</th>\n                        <td id=\"T_015f1_row3231_col0\" class=\"data row3231 col0\" >13</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3232\" class=\"row_heading level0 row3232\" >443ba519a45848d5e977393c1d9633762d8b8b68</th>\n                        <td id=\"T_015f1_row3232_col0\" class=\"data row3232 col0\" >13</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3233\" class=\"row_heading level0 row3233\" >9373104b19fc493ba7a21fc0e7ad688146f201ce</th>\n                        <td id=\"T_015f1_row3233_col0\" class=\"data row3233 col0\" >13</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3234\" class=\"row_heading level0 row3234\" >28fcaf4c8f7455defb1c4c74f110236281299c95</th>\n                        <td id=\"T_015f1_row3234_col0\" class=\"data row3234 col0\" >13</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3235\" class=\"row_heading level0 row3235\" >1d362245d25ad5a6cbebe14f368c189a73430ffc</th>\n                        <td id=\"T_015f1_row3235_col0\" class=\"data row3235 col0\" >13</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3236\" class=\"row_heading level0 row3236\" >67c1d78314fedaf49a9e54ae3ed765cb9047c65c</th>\n                        <td id=\"T_015f1_row3236_col0\" class=\"data row3236 col0\" >13</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3237\" class=\"row_heading level0 row3237\" >6de8ca41f27b0ede0561e85fb9c9ca9fe51c26b1</th>\n                        <td id=\"T_015f1_row3237_col0\" class=\"data row3237 col0\" >12</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3238\" class=\"row_heading level0 row3238\" >69593efcdd3339144644bfdb230680f5ae4a449f</th>\n                        <td id=\"T_015f1_row3238_col0\" class=\"data row3238 col0\" >12</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3239\" class=\"row_heading level0 row3239\" >6c28c3a0175cef678b10cda3fae6f9cbb3de0458</th>\n                        <td id=\"T_015f1_row3239_col0\" class=\"data row3239 col0\" >12</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3240\" class=\"row_heading level0 row3240\" >49691b7758824a305dfe2610984761cf3f682dad</th>\n                        <td id=\"T_015f1_row3240_col0\" class=\"data row3240 col0\" >12</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3241\" class=\"row_heading level0 row3241\" >5c57a2a6b3909e8fe7ae0f67e4db586d0d9dca91</th>\n                        <td id=\"T_015f1_row3241_col0\" class=\"data row3241 col0\" >12</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3242\" class=\"row_heading level0 row3242\" >65f636ff52ba2e32d082230bfed83598e1f5e9cf</th>\n                        <td id=\"T_015f1_row3242_col0\" class=\"data row3242 col0\" >12</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3243\" class=\"row_heading level0 row3243\" >13a07cead90e9cc034c6d4bb32388a2d6ae0c620</th>\n                        <td id=\"T_015f1_row3243_col0\" class=\"data row3243 col0\" >12</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3244\" class=\"row_heading level0 row3244\" >29b320e75ebd04fe2caae2e2333c4c08cc8961aa</th>\n                        <td id=\"T_015f1_row3244_col0\" class=\"data row3244 col0\" >12</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3245\" class=\"row_heading level0 row3245\" >369d34a395d905d61943706d8e2f0516300ed461</th>\n                        <td id=\"T_015f1_row3245_col0\" class=\"data row3245 col0\" >12</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3246\" class=\"row_heading level0 row3246\" >a5ae7f55aac1531de3d5bcb6d1f75e554870f630</th>\n                        <td id=\"T_015f1_row3246_col0\" class=\"data row3246 col0\" >12</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3247\" class=\"row_heading level0 row3247\" >907c871c3823d5ef529d7f99137d3ef8e65f81ea</th>\n                        <td id=\"T_015f1_row3247_col0\" class=\"data row3247 col0\" >12</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3248\" class=\"row_heading level0 row3248\" >c4f3afbe4cc973e2a1af6fdeff944a31fb75bfa8</th>\n                        <td id=\"T_015f1_row3248_col0\" class=\"data row3248 col0\" >12</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3249\" class=\"row_heading level0 row3249\" >64cff150e215d2284361ace8a03c9c7e68228bb0</th>\n                        <td id=\"T_015f1_row3249_col0\" class=\"data row3249 col0\" >12</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3250\" class=\"row_heading level0 row3250\" >5d522d2e3746d2276c0791445edfbed458873be1</th>\n                        <td id=\"T_015f1_row3250_col0\" class=\"data row3250 col0\" >12</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3251\" class=\"row_heading level0 row3251\" >cb29feca73afb443917e0c4a7676bebf8f9d947b</th>\n                        <td id=\"T_015f1_row3251_col0\" class=\"data row3251 col0\" >12</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3252\" class=\"row_heading level0 row3252\" >cb1173d9c0e7cc314c38a4eff6d919e294001b57</th>\n                        <td id=\"T_015f1_row3252_col0\" class=\"data row3252 col0\" >12</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3253\" class=\"row_heading level0 row3253\" >bd5a1e81fd23f609e5b0ce21e90b73ff7fa4ae74</th>\n                        <td id=\"T_015f1_row3253_col0\" class=\"data row3253 col0\" >11</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3254\" class=\"row_heading level0 row3254\" >a34681cdfaf82d791c6d670e9c29d94cf7c9acc8</th>\n                        <td id=\"T_015f1_row3254_col0\" class=\"data row3254 col0\" >11</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3255\" class=\"row_heading level0 row3255\" >4fc79256d5d238537232154b59a60f682f1707c9</th>\n                        <td id=\"T_015f1_row3255_col0\" class=\"data row3255 col0\" >11</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3256\" class=\"row_heading level0 row3256\" >c676724c379dfa2c5dde3a13ec419d7afe84977a</th>\n                        <td id=\"T_015f1_row3256_col0\" class=\"data row3256 col0\" >11</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3257\" class=\"row_heading level0 row3257\" >23d0815ba1e641242a0993dc3598496d535aec2e</th>\n                        <td id=\"T_015f1_row3257_col0\" class=\"data row3257 col0\" >11</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3258\" class=\"row_heading level0 row3258\" >3900127b2b4cb95fc07430917a59fbf3279e94cb</th>\n                        <td id=\"T_015f1_row3258_col0\" class=\"data row3258 col0\" >11</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3259\" class=\"row_heading level0 row3259\" >a1f9eb8a4996510405c07308d488b6c2646f1585</th>\n                        <td id=\"T_015f1_row3259_col0\" class=\"data row3259 col0\" >11</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3260\" class=\"row_heading level0 row3260\" >d585bbdf8dc126df7fe7f2b9a046f20e8fcc4a97</th>\n                        <td id=\"T_015f1_row3260_col0\" class=\"data row3260 col0\" >11</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3261\" class=\"row_heading level0 row3261\" >b71b9159ec25bd67017caa99494263086a5cd326</th>\n                        <td id=\"T_015f1_row3261_col0\" class=\"data row3261 col0\" >11</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3262\" class=\"row_heading level0 row3262\" >730e8327ff5a9f63ca9c3791738bd91506fcfab9</th>\n                        <td id=\"T_015f1_row3262_col0\" class=\"data row3262 col0\" >11</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3263\" class=\"row_heading level0 row3263\" >16f0057b4591b780054a4f2867ba3fa9ec793438</th>\n                        <td id=\"T_015f1_row3263_col0\" class=\"data row3263 col0\" >11</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3264\" class=\"row_heading level0 row3264\" >8d98f50d630146a5996aa42efe5c1932f4a45aa3</th>\n                        <td id=\"T_015f1_row3264_col0\" class=\"data row3264 col0\" >11</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3265\" class=\"row_heading level0 row3265\" >69a99f4fc9ce4a035d569c7e41e5b9d0400a1342</th>\n                        <td id=\"T_015f1_row3265_col0\" class=\"data row3265 col0\" >11</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3266\" class=\"row_heading level0 row3266\" >a039f6f38b30d4bdecc68ce3086a9d511ffa7088</th>\n                        <td id=\"T_015f1_row3266_col0\" class=\"data row3266 col0\" >11</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3267\" class=\"row_heading level0 row3267\" >9dad21543e843579259c0cf150ad40ccd67c1293</th>\n                        <td id=\"T_015f1_row3267_col0\" class=\"data row3267 col0\" >11</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3268\" class=\"row_heading level0 row3268\" >d3c9dadcc13d4a4f8a1b6e3a7c307461d6416703</th>\n                        <td id=\"T_015f1_row3268_col0\" class=\"data row3268 col0\" >11</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3269\" class=\"row_heading level0 row3269\" >41f7b5cedea88b896cacc27ee3799c4b7857a707</th>\n                        <td id=\"T_015f1_row3269_col0\" class=\"data row3269 col0\" >11</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3270\" class=\"row_heading level0 row3270\" >915ec035a918098d93d6545e63e332e6e0ff0a63</th>\n                        <td id=\"T_015f1_row3270_col0\" class=\"data row3270 col0\" >11</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3271\" class=\"row_heading level0 row3271\" >0102fdd6f12bee16a21bb62cd67afa00d2272670</th>\n                        <td id=\"T_015f1_row3271_col0\" class=\"data row3271 col0\" >11</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3272\" class=\"row_heading level0 row3272\" >8bd0bf7ab3a00ff7f4d65bd718c3329f8f2f1785</th>\n                        <td id=\"T_015f1_row3272_col0\" class=\"data row3272 col0\" >11</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3273\" class=\"row_heading level0 row3273\" >18ab03ce6002edd612c28941d62a6ee44215b490</th>\n                        <td id=\"T_015f1_row3273_col0\" class=\"data row3273 col0\" >11</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3274\" class=\"row_heading level0 row3274\" >daf7a9746d27dcd44a40b4245d6433fd9e66bfef</th>\n                        <td id=\"T_015f1_row3274_col0\" class=\"data row3274 col0\" >11</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3275\" class=\"row_heading level0 row3275\" >e8780fbb8cbe7397ba5d050cf54735da390b96c9</th>\n                        <td id=\"T_015f1_row3275_col0\" class=\"data row3275 col0\" >11</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3276\" class=\"row_heading level0 row3276\" >86db0fd32b6fbf776cf3601afdf1a1eb71c488fd</th>\n                        <td id=\"T_015f1_row3276_col0\" class=\"data row3276 col0\" >10</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3277\" class=\"row_heading level0 row3277\" >db2118bbf6034e55c8a594481aa87d6a67e3bfbb</th>\n                        <td id=\"T_015f1_row3277_col0\" class=\"data row3277 col0\" >10</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3278\" class=\"row_heading level0 row3278\" >d44eec21551b1d54df66762bd3f142d440173482</th>\n                        <td id=\"T_015f1_row3278_col0\" class=\"data row3278 col0\" >10</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3279\" class=\"row_heading level0 row3279\" >62863ee0bb230a453b2ad3be0083b6ff229fe82b</th>\n                        <td id=\"T_015f1_row3279_col0\" class=\"data row3279 col0\" >10</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3280\" class=\"row_heading level0 row3280\" >12566329a77d52aeb27cc36f203fcbe40aff3004</th>\n                        <td id=\"T_015f1_row3280_col0\" class=\"data row3280 col0\" >10</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3281\" class=\"row_heading level0 row3281\" >8c1eceb10a2c1b8d943f836acf2444392250f685</th>\n                        <td id=\"T_015f1_row3281_col0\" class=\"data row3281 col0\" >10</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3282\" class=\"row_heading level0 row3282\" >673258e3b94de57a11b56efb42052fa10f5bde75</th>\n                        <td id=\"T_015f1_row3282_col0\" class=\"data row3282 col0\" >10</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3283\" class=\"row_heading level0 row3283\" >21ae19216b88f02fa3aa810eda12d1350e9b195c</th>\n                        <td id=\"T_015f1_row3283_col0\" class=\"data row3283 col0\" >10</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3284\" class=\"row_heading level0 row3284\" >62998add59ae06bc35ef8c25ad9fea6a5b1acc3a</th>\n                        <td id=\"T_015f1_row3284_col0\" class=\"data row3284 col0\" >10</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3285\" class=\"row_heading level0 row3285\" >b1f2fe64b871d0d9608ceb6c0b1556a817134002</th>\n                        <td id=\"T_015f1_row3285_col0\" class=\"data row3285 col0\" >9</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3286\" class=\"row_heading level0 row3286\" >a6cc5f50beb9f4d09175042a257f29bbadf7b7c6</th>\n                        <td id=\"T_015f1_row3286_col0\" class=\"data row3286 col0\" >9</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3287\" class=\"row_heading level0 row3287\" >3f3e2c3ef7e2b977b043fe535615bd418c868bf4</th>\n                        <td id=\"T_015f1_row3287_col0\" class=\"data row3287 col0\" >9</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3288\" class=\"row_heading level0 row3288\" >3e6e9f5acd8bd715ca96b66b8ca2c51ee6edcfb8</th>\n                        <td id=\"T_015f1_row3288_col0\" class=\"data row3288 col0\" >9</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3289\" class=\"row_heading level0 row3289\" >d90ab0610e02c2adb1174feaf719b9e506564893</th>\n                        <td id=\"T_015f1_row3289_col0\" class=\"data row3289 col0\" >9</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3290\" class=\"row_heading level0 row3290\" >12a2f4c8a7a196138ea35104a0599e98cb872ebf</th>\n                        <td id=\"T_015f1_row3290_col0\" class=\"data row3290 col0\" >9</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3291\" class=\"row_heading level0 row3291\" >246fc9bcda150557b9106ef68b657a6837116949</th>\n                        <td id=\"T_015f1_row3291_col0\" class=\"data row3291 col0\" >9</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3292\" class=\"row_heading level0 row3292\" >1dc69fee947ea68b985dffb12568cf3fda5ec28c</th>\n                        <td id=\"T_015f1_row3292_col0\" class=\"data row3292 col0\" >9</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3293\" class=\"row_heading level0 row3293\" >1ff95729c0dda7241be6bf9ee86ceb26d5186c5e</th>\n                        <td id=\"T_015f1_row3293_col0\" class=\"data row3293 col0\" >9</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3294\" class=\"row_heading level0 row3294\" >3e8e0a1bbff930b0987ead7b4d7c5162293e366a</th>\n                        <td id=\"T_015f1_row3294_col0\" class=\"data row3294 col0\" >9</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3295\" class=\"row_heading level0 row3295\" >7b08ebe08f39d5aeab93cfae4dcc694acc410673</th>\n                        <td id=\"T_015f1_row3295_col0\" class=\"data row3295 col0\" >9</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3296\" class=\"row_heading level0 row3296\" >8c1ba5f2ea70a7eeadd4f3600bafda74d1c43ba2</th>\n                        <td id=\"T_015f1_row3296_col0\" class=\"data row3296 col0\" >9</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3297\" class=\"row_heading level0 row3297\" >2dcbf97510c4c76f13e6c7394fad5dc8ed9ccfff</th>\n                        <td id=\"T_015f1_row3297_col0\" class=\"data row3297 col0\" >9</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3298\" class=\"row_heading level0 row3298\" >6275b6a195f1960e486af3a6820d7d93aac5d777</th>\n                        <td id=\"T_015f1_row3298_col0\" class=\"data row3298 col0\" >9</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3299\" class=\"row_heading level0 row3299\" >fb63cbbc6d1aa522c19ca091a5d106b1bc3c496a</th>\n                        <td id=\"T_015f1_row3299_col0\" class=\"data row3299 col0\" >9</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3300\" class=\"row_heading level0 row3300\" >6d42dfb80286e2dc363d4b48d583f5b43d7be97a</th>\n                        <td id=\"T_015f1_row3300_col0\" class=\"data row3300 col0\" >9</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3301\" class=\"row_heading level0 row3301\" >054b2c28ac977f1d456a802e424179fb4af71f5a</th>\n                        <td id=\"T_015f1_row3301_col0\" class=\"data row3301 col0\" >8</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3302\" class=\"row_heading level0 row3302\" >8c0a3e61e4f8f1f2b434e054b99a78f111a27ada</th>\n                        <td id=\"T_015f1_row3302_col0\" class=\"data row3302 col0\" >8</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3303\" class=\"row_heading level0 row3303\" >8a6a25f3b189df89d9723793471f2a17d416e29d</th>\n                        <td id=\"T_015f1_row3303_col0\" class=\"data row3303 col0\" >8</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3304\" class=\"row_heading level0 row3304\" >b29564d5c1d6d8357fdcdce1b80da55cebe2c2cd</th>\n                        <td id=\"T_015f1_row3304_col0\" class=\"data row3304 col0\" >8</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3305\" class=\"row_heading level0 row3305\" >8f376979982179965072033f82992ef3dc42a27a</th>\n                        <td id=\"T_015f1_row3305_col0\" class=\"data row3305 col0\" >8</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3306\" class=\"row_heading level0 row3306\" >7445bd1c08a5ddc8ffd4330547abda4b362e4a5f</th>\n                        <td id=\"T_015f1_row3306_col0\" class=\"data row3306 col0\" >8</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3307\" class=\"row_heading level0 row3307\" >2ccae495d7b2a1a091f2ce975037618a4fd4f5a0</th>\n                        <td id=\"T_015f1_row3307_col0\" class=\"data row3307 col0\" >8</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3308\" class=\"row_heading level0 row3308\" >7d3d0c7c9570430467abf209fb767eb23e96fdf2</th>\n                        <td id=\"T_015f1_row3308_col0\" class=\"data row3308 col0\" >8</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3309\" class=\"row_heading level0 row3309\" >a941929b73019d26b5ad22f06594ace43356586f</th>\n                        <td id=\"T_015f1_row3309_col0\" class=\"data row3309 col0\" >8</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3310\" class=\"row_heading level0 row3310\" >3911d7e134339c8c5c52ac88dd77c382421251f1</th>\n                        <td id=\"T_015f1_row3310_col0\" class=\"data row3310 col0\" >8</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3311\" class=\"row_heading level0 row3311\" >6b0e6d1e93b9a2cb673870900f901ece737ef91c</th>\n                        <td id=\"T_015f1_row3311_col0\" class=\"data row3311 col0\" >8</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3312\" class=\"row_heading level0 row3312\" >84f12075d75c565d36ec836f8be10b5c466dcc0c</th>\n                        <td id=\"T_015f1_row3312_col0\" class=\"data row3312 col0\" >8</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3313\" class=\"row_heading level0 row3313\" >61b7d0dc4405b2b4ef2a8b1969181ee323ab444b</th>\n                        <td id=\"T_015f1_row3313_col0\" class=\"data row3313 col0\" >8</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3314\" class=\"row_heading level0 row3314\" >cba9a48c9b2d541519a61c2554be79403ea47c90</th>\n                        <td id=\"T_015f1_row3314_col0\" class=\"data row3314 col0\" >8</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3315\" class=\"row_heading level0 row3315\" >92f3ba71040b59a18aca8f5397b005a990106211</th>\n                        <td id=\"T_015f1_row3315_col0\" class=\"data row3315 col0\" >8</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3316\" class=\"row_heading level0 row3316\" >bda56c984fbadfa36145e6355b5a221305e8f8c9</th>\n                        <td id=\"T_015f1_row3316_col0\" class=\"data row3316 col0\" >8</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3317\" class=\"row_heading level0 row3317\" >501fc48bd149f540084e2b29bc23cd6311930f28</th>\n                        <td id=\"T_015f1_row3317_col0\" class=\"data row3317 col0\" >7</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3318\" class=\"row_heading level0 row3318\" >dfcb3c8fd412ff93cb6cc43040d74696b40d8a18</th>\n                        <td id=\"T_015f1_row3318_col0\" class=\"data row3318 col0\" >7</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3319\" class=\"row_heading level0 row3319\" >a98cc13d929540f03aa57c30b61f3e7cf86c6453</th>\n                        <td id=\"T_015f1_row3319_col0\" class=\"data row3319 col0\" >7</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3320\" class=\"row_heading level0 row3320\" >2c327f2d2669b3c7b3602eca7942e37f95743f68</th>\n                        <td id=\"T_015f1_row3320_col0\" class=\"data row3320 col0\" >7</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3321\" class=\"row_heading level0 row3321\" >5ac43701d097377511dbf335558c644bd75a30dc</th>\n                        <td id=\"T_015f1_row3321_col0\" class=\"data row3321 col0\" >7</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3322\" class=\"row_heading level0 row3322\" >270729b0b3ecccfecbdd16aebee07323001f3acb</th>\n                        <td id=\"T_015f1_row3322_col0\" class=\"data row3322 col0\" >7</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3323\" class=\"row_heading level0 row3323\" >735087d06668fa822bc7fa3120ad5bb4ede391fc</th>\n                        <td id=\"T_015f1_row3323_col0\" class=\"data row3323 col0\" >7</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3324\" class=\"row_heading level0 row3324\" >4f6e1a393c08923d7919468e764ffec261e0d5f1</th>\n                        <td id=\"T_015f1_row3324_col0\" class=\"data row3324 col0\" >7</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3325\" class=\"row_heading level0 row3325\" >f8ff4cbcabfb0ab50a51148d24ce732390f7be8c</th>\n                        <td id=\"T_015f1_row3325_col0\" class=\"data row3325 col0\" >7</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3326\" class=\"row_heading level0 row3326\" >b38a49c942ff85fcee5d8762772c4bc90ff4cdbf</th>\n                        <td id=\"T_015f1_row3326_col0\" class=\"data row3326 col0\" >7</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3327\" class=\"row_heading level0 row3327\" >568f48392e897ae028e0a013c500ab3c8d3d30f8</th>\n                        <td id=\"T_015f1_row3327_col0\" class=\"data row3327 col0\" >6</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3328\" class=\"row_heading level0 row3328\" >079801516e9274ec5c75d769aaf2fac000a7efbd</th>\n                        <td id=\"T_015f1_row3328_col0\" class=\"data row3328 col0\" >6</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3329\" class=\"row_heading level0 row3329\" >68947139ccc0b373bf7a8a9eb0c18ab5ca0e0427</th>\n                        <td id=\"T_015f1_row3329_col0\" class=\"data row3329 col0\" >6</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3330\" class=\"row_heading level0 row3330\" >a033f9fd08c9837460832e1b48fd76a0093aa85a</th>\n                        <td id=\"T_015f1_row3330_col0\" class=\"data row3330 col0\" >6</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3331\" class=\"row_heading level0 row3331\" >fd305a131a5faecff8b7363dc2cdf32586d69c80</th>\n                        <td id=\"T_015f1_row3331_col0\" class=\"data row3331 col0\" >6</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3332\" class=\"row_heading level0 row3332\" >ab8a692ecdb3ca7eef7ad68f51d196b20b34a6bc</th>\n                        <td id=\"T_015f1_row3332_col0\" class=\"data row3332 col0\" >6</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3333\" class=\"row_heading level0 row3333\" >3702bdabe0ca8b52f86d9ff2eeb977c1ee8025b6</th>\n                        <td id=\"T_015f1_row3333_col0\" class=\"data row3333 col0\" >6</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3334\" class=\"row_heading level0 row3334\" >5fc0f03bdf429dace6eecec0b5df9be00d8db1a0</th>\n                        <td id=\"T_015f1_row3334_col0\" class=\"data row3334 col0\" >6</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3335\" class=\"row_heading level0 row3335\" >1951d44a1eb0f0ce681c22d57db9d083b2932bf1</th>\n                        <td id=\"T_015f1_row3335_col0\" class=\"data row3335 col0\" >6</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3336\" class=\"row_heading level0 row3336\" >62d235e891d85e4cf3f3808e372457c61041703e</th>\n                        <td id=\"T_015f1_row3336_col0\" class=\"data row3336 col0\" >6</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3337\" class=\"row_heading level0 row3337\" >82a93843edc05f21bc74c1b841307b728ae67b8e</th>\n                        <td id=\"T_015f1_row3337_col0\" class=\"data row3337 col0\" >6</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3338\" class=\"row_heading level0 row3338\" >8d405240c6d2f5665c7a24f8c945e1bedf38659f</th>\n                        <td id=\"T_015f1_row3338_col0\" class=\"data row3338 col0\" >6</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3339\" class=\"row_heading level0 row3339\" >f5f676f513c85f4697e9703228caf779232d383b</th>\n                        <td id=\"T_015f1_row3339_col0\" class=\"data row3339 col0\" >6</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3340\" class=\"row_heading level0 row3340\" >e11799c30a86c30ee73d3dccbb4ed0f63429febb</th>\n                        <td id=\"T_015f1_row3340_col0\" class=\"data row3340 col0\" >6</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3341\" class=\"row_heading level0 row3341\" >3d95a320d4168023b5e1e6cd7723b58b6e627fd0</th>\n                        <td id=\"T_015f1_row3341_col0\" class=\"data row3341 col0\" >6</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3342\" class=\"row_heading level0 row3342\" >8a3ca2af76d58dc09012baaba260f53d51892a3e</th>\n                        <td id=\"T_015f1_row3342_col0\" class=\"data row3342 col0\" >6</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3343\" class=\"row_heading level0 row3343\" >e805fc9c946cfe1399567690903831ee4da6e11a</th>\n                        <td id=\"T_015f1_row3343_col0\" class=\"data row3343 col0\" >6</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3344\" class=\"row_heading level0 row3344\" >69a9d80321eb19e605cf04b091f1096f57f6e752</th>\n                        <td id=\"T_015f1_row3344_col0\" class=\"data row3344 col0\" >6</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3345\" class=\"row_heading level0 row3345\" >2dcd969cc71440ce2c9af0abcf1c2a6a6aab8632</th>\n                        <td id=\"T_015f1_row3345_col0\" class=\"data row3345 col0\" >6</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3346\" class=\"row_heading level0 row3346\" >03d3b462c3cf05af51220eed78b2062c50d4840a</th>\n                        <td id=\"T_015f1_row3346_col0\" class=\"data row3346 col0\" >6</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3347\" class=\"row_heading level0 row3347\" >f14ac69c5c7615066ba2c6590a4b061108da4a7d</th>\n                        <td id=\"T_015f1_row3347_col0\" class=\"data row3347 col0\" >6</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3348\" class=\"row_heading level0 row3348\" >b2ac6d79c607b44c69a2e0a453780155b3706f1b</th>\n                        <td id=\"T_015f1_row3348_col0\" class=\"data row3348 col0\" >6</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3349\" class=\"row_heading level0 row3349\" >5593f1a982b56164ad9ef6678b24171584fc4885</th>\n                        <td id=\"T_015f1_row3349_col0\" class=\"data row3349 col0\" >6</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3350\" class=\"row_heading level0 row3350\" >44ea757a79fbf66214533381dc60d6dc05c9d476</th>\n                        <td id=\"T_015f1_row3350_col0\" class=\"data row3350 col0\" >6</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3351\" class=\"row_heading level0 row3351\" >d81c8d9dc37edd1d130b32299106a0b2868b6ab7</th>\n                        <td id=\"T_015f1_row3351_col0\" class=\"data row3351 col0\" >6</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3352\" class=\"row_heading level0 row3352\" >930d37d348466e2c9ecd7551041f9f4a701bea49</th>\n                        <td id=\"T_015f1_row3352_col0\" class=\"data row3352 col0\" >6</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3353\" class=\"row_heading level0 row3353\" >9b63e64ba5b49efd754816205a155f9042b8faf4</th>\n                        <td id=\"T_015f1_row3353_col0\" class=\"data row3353 col0\" >6</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3354\" class=\"row_heading level0 row3354\" >584a788ba19acacbbe34398d728a2caa4f073a10</th>\n                        <td id=\"T_015f1_row3354_col0\" class=\"data row3354 col0\" >5</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3355\" class=\"row_heading level0 row3355\" >2656a600845888ccbf331c64bf9aaa1badf608f6</th>\n                        <td id=\"T_015f1_row3355_col0\" class=\"data row3355 col0\" >5</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3356\" class=\"row_heading level0 row3356\" >c557668b15e75d4cacd3fb5643436908681f4feb</th>\n                        <td id=\"T_015f1_row3356_col0\" class=\"data row3356 col0\" >5</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3357\" class=\"row_heading level0 row3357\" >3a583f3e21d0c17840f90b894e93e1f7cf7c6746</th>\n                        <td id=\"T_015f1_row3357_col0\" class=\"data row3357 col0\" >5</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3358\" class=\"row_heading level0 row3358\" >82417ab7c371364494f0f86d3de5dfe7a0579c78</th>\n                        <td id=\"T_015f1_row3358_col0\" class=\"data row3358 col0\" >5</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3359\" class=\"row_heading level0 row3359\" >16d31f0957c59687d1abe05ee0011863fd21a95d</th>\n                        <td id=\"T_015f1_row3359_col0\" class=\"data row3359 col0\" >5</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3360\" class=\"row_heading level0 row3360\" >fd5da29ea31fc8fa2315f92f0c067e4e24e42b05</th>\n                        <td id=\"T_015f1_row3360_col0\" class=\"data row3360 col0\" >5</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3361\" class=\"row_heading level0 row3361\" >717bbebca52c59b9bc55d65917af8a4fdd2c2ba1</th>\n                        <td id=\"T_015f1_row3361_col0\" class=\"data row3361 col0\" >4</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3362\" class=\"row_heading level0 row3362\" >ecb87e6c93dd3c6cdb6f6671e25e2d0d6f865875</th>\n                        <td id=\"T_015f1_row3362_col0\" class=\"data row3362 col0\" >4</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3363\" class=\"row_heading level0 row3363\" >2a5b389dcb23ab74f491ec76db90b931de684e0b</th>\n                        <td id=\"T_015f1_row3363_col0\" class=\"data row3363 col0\" >4</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3364\" class=\"row_heading level0 row3364\" >c38c10d51ea33188ca36924f437ba87e61e2ca23</th>\n                        <td id=\"T_015f1_row3364_col0\" class=\"data row3364 col0\" >4</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3365\" class=\"row_heading level0 row3365\" >b22abfad07ef2fb2dfad397fd2f06f4a22283061</th>\n                        <td id=\"T_015f1_row3365_col0\" class=\"data row3365 col0\" >4</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3366\" class=\"row_heading level0 row3366\" >b917a98c020924b26ea922b48c0d1632cea81ae3</th>\n                        <td id=\"T_015f1_row3366_col0\" class=\"data row3366 col0\" >4</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3367\" class=\"row_heading level0 row3367\" >4fab6184a34d3c53de9f97bd39179c68de04b076</th>\n                        <td id=\"T_015f1_row3367_col0\" class=\"data row3367 col0\" >4</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3368\" class=\"row_heading level0 row3368\" >8ae76f1bd796724474cea738aab4b99f82e4aa40</th>\n                        <td id=\"T_015f1_row3368_col0\" class=\"data row3368 col0\" >4</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3369\" class=\"row_heading level0 row3369\" >299b9dfd202bc50b586d8ae184fa7ae78993f7c3</th>\n                        <td id=\"T_015f1_row3369_col0\" class=\"data row3369 col0\" >4</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3370\" class=\"row_heading level0 row3370\" >dee9bc093f0dfab7a12218992e09db20e1bd3644</th>\n                        <td id=\"T_015f1_row3370_col0\" class=\"data row3370 col0\" >4</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3371\" class=\"row_heading level0 row3371\" >216f16c06d4b7ddc06921eea8635b2818133a04a</th>\n                        <td id=\"T_015f1_row3371_col0\" class=\"data row3371 col0\" >3</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3372\" class=\"row_heading level0 row3372\" >87bf2474c7e00474bad8c34d2b062389b29357fe</th>\n                        <td id=\"T_015f1_row3372_col0\" class=\"data row3372 col0\" >3</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3373\" class=\"row_heading level0 row3373\" >ac1bcba72edb82cf647618bd72257b5cc20bfeb8</th>\n                        <td id=\"T_015f1_row3373_col0\" class=\"data row3373 col0\" >3</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3374\" class=\"row_heading level0 row3374\" >fd2453006ddbec06337b0d0f7128f591910c9dbc</th>\n                        <td id=\"T_015f1_row3374_col0\" class=\"data row3374 col0\" >2</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3375\" class=\"row_heading level0 row3375\" >1d08491a6e723dd2f7eaecfeabfc6b2716c14158</th>\n                        <td id=\"T_015f1_row3375_col0\" class=\"data row3375 col0\" >2</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3376\" class=\"row_heading level0 row3376\" >14b3f6445d8a14dcaead8557a7acce9158e1a488</th>\n                        <td id=\"T_015f1_row3376_col0\" class=\"data row3376 col0\" >2</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3377\" class=\"row_heading level0 row3377\" >afc0ecbf077b32c7f030280080ac30c398e29384</th>\n                        <td id=\"T_015f1_row3377_col0\" class=\"data row3377 col0\" >2</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3378\" class=\"row_heading level0 row3378\" >5789d340cb120f2d4e4349b23a0b2e137964daad</th>\n                        <td id=\"T_015f1_row3378_col0\" class=\"data row3378 col0\" >2</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3379\" class=\"row_heading level0 row3379\" >dfe5438e010ed5ff196b47048e106bff4687bd7a</th>\n                        <td id=\"T_015f1_row3379_col0\" class=\"data row3379 col0\" >2</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3380\" class=\"row_heading level0 row3380\" >56a38fc3ed2d5c6e64b25ab4dbe21456789d1962</th>\n                        <td id=\"T_015f1_row3380_col0\" class=\"data row3380 col0\" >2</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3381\" class=\"row_heading level0 row3381\" >b7c4c9787579ee7f378a14157dd20b9ca8501dda</th>\n                        <td id=\"T_015f1_row3381_col0\" class=\"data row3381 col0\" >2</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3382\" class=\"row_heading level0 row3382\" >6e31d3df4ab5d48ebb10f22a66dd7b092f37c385</th>\n                        <td id=\"T_015f1_row3382_col0\" class=\"data row3382 col0\" >2</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3383\" class=\"row_heading level0 row3383\" >b775040719ea2ccc499b0eae18ff6075663e7494</th>\n                        <td id=\"T_015f1_row3383_col0\" class=\"data row3383 col0\" >2</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3384\" class=\"row_heading level0 row3384\" >2399cb7aa794f7c81e98b13b7edfe4bbeffdfec1</th>\n                        <td id=\"T_015f1_row3384_col0\" class=\"data row3384 col0\" >2</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3385\" class=\"row_heading level0 row3385\" >2f369d8791808b4bb18aefb8c134fb67d32263e4</th>\n                        <td id=\"T_015f1_row3385_col0\" class=\"data row3385 col0\" >2</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3386\" class=\"row_heading level0 row3386\" >c440012d70279d169a4de99a64c899a3dd77aa57</th>\n                        <td id=\"T_015f1_row3386_col0\" class=\"data row3386 col0\" >2</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3387\" class=\"row_heading level0 row3387\" >2e985809d94e7cfe3dbdc78a27e17baa56bef58b</th>\n                        <td id=\"T_015f1_row3387_col0\" class=\"data row3387 col0\" >2</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3388\" class=\"row_heading level0 row3388\" >c36517aac61fb6a4831409154a5e74bece1deebb</th>\n                        <td id=\"T_015f1_row3388_col0\" class=\"data row3388 col0\" >2</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3389\" class=\"row_heading level0 row3389\" >22a61642045b10266f8f81bab9ae47267ba6a874</th>\n                        <td id=\"T_015f1_row3389_col0\" class=\"data row3389 col0\" >2</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3390\" class=\"row_heading level0 row3390\" >4ab1f8a3cf9eba2bb4e5a6c4bca01f3135560462</th>\n                        <td id=\"T_015f1_row3390_col0\" class=\"data row3390 col0\" >1</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3391\" class=\"row_heading level0 row3391\" >1b12eb877cf5261ab74957f2ca659ee89e858a42</th>\n                        <td id=\"T_015f1_row3391_col0\" class=\"data row3391 col0\" >1</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3392\" class=\"row_heading level0 row3392\" >3e56dc845f9ac9d089feb391245f5e887c8a19db</th>\n                        <td id=\"T_015f1_row3392_col0\" class=\"data row3392 col0\" >1</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3393\" class=\"row_heading level0 row3393\" >9011a61e64b00b9739cfa4a3c3f9db2efaf0cca0</th>\n                        <td id=\"T_015f1_row3393_col0\" class=\"data row3393 col0\" >1</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3394\" class=\"row_heading level0 row3394\" >a863e2d6f06555e0325a07057e22a55b3d2afd83</th>\n                        <td id=\"T_015f1_row3394_col0\" class=\"data row3394 col0\" >1</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3395\" class=\"row_heading level0 row3395\" >1cba90c322fccbce36acd5a9a576813a3d648e8e</th>\n                        <td id=\"T_015f1_row3395_col0\" class=\"data row3395 col0\" >1</td>\n            </tr>\n            <tr>\n                        <th id=\"T_015f1_level0_row3396\" class=\"row_heading level0 row3396\" >24c803fa0bf134b28a937740d919e16ddf501084</th>\n                        <td id=\"T_015f1_row3396_col0\" class=\"data row3396 col0\" >1</td>\n            </tr>\n    </tbody></table>"},"metadata":{}}]},{"cell_type":"code","source":"bssid = pd.Series(wifi).value_counts().index.values\ncount = pd.Series(wifi).value_counts().values\nwifi_c = pd.DataFrame({\"bssid\":bssid, \n              \"count\":count})\nwifi_c.index = wifi_c[\"bssid\"]","metadata":{"execution":{"iopub.status.busy":"2023-05-01T04:47:57.539895Z","iopub.execute_input":"2023-05-01T04:47:57.540488Z","iopub.status.idle":"2023-05-01T04:47:57.546923Z","shell.execute_reply.started":"2023-05-01T04:47:57.540453Z","shell.execute_reply":"2023-05-01T04:47:57.545787Z"},"trusted":true},"execution_count":63,"outputs":[]},{"cell_type":"code","source":"with open(\"bssid_1000.json\", \"w\") as f:\n    json.dump(bssid, f)\n\nwith open(\"bssid_1000.json\") as f:\n    bssid = json.load(f)","metadata":{"execution":{"iopub.status.busy":"2023-04-30T07:44:41.050299Z","iopub.execute_input":"2023-04-30T07:44:41.05076Z","iopub.status.idle":"2023-04-30T07:44:41.061949Z","shell.execute_reply.started":"2023-04-30T07:44:41.050717Z","shell.execute_reply":"2023-04-30T07:44:41.060743Z"},"trusted":true},"execution_count":89,"outputs":[]},{"cell_type":"code","source":"# 전처리 코드 wifi\nbuilding_dfs = dict()\n\nfor building in used_buildings[:1]:\n    folders = sorted(glob(os.path.join(base_path,'train', building +'/*')))\n    dfs = list()\n    index = sorted(bssid[building])\n    \n    for folder in folders:\n        floor = floor_map[folder.split('/')[-1]]\n        files = glob(os.path.join(folder, \"*.txt\"))\n        \n        for file in tqdm(files):\n            wifi = list()\n            waypoint = list()\n            with open(file) as f:\n                txt = f.readlines()\n\n            idx = pd.Series(txt).apply(lambda x : x.strip().split()[1] == 'TYPE_WAYPOINT')\n            waypoint.extend(pd.Series(txt)[idx].apply(lambda x : np.array(x.strip().split())[[0,2,3]]).values)\n            \n            idx = pd.Series(txt).apply(lambda x : x.strip().split()[1] == 'TYPE_WIFI')\n            wifi.extend(pd.Series(txt)[idx].apply(lambda x : np.array(x.strip().split())[[0,2,3,4,5,6]]))\n\n            df = pd.DataFrame(np.array(wifi))  \n\n            for gid, g in df.groupby(0):\n                near_idx = np.argmin(abs(np.vstack(waypoint)[:, 0].astype(int) - int(gid)))\n                g = g.drop_duplicates(subset=2)\n                tmp = g.iloc[:,2:4]\n                feat = tmp.set_index(2).reindex(index).replace(np.nan, -999).T\n                feat[\"x\"] = float(waypoint[near_idx][1])\n                feat[\"y\"] = float(waypoint[near_idx][2])\n                feat[\"f\"] = floor\n                feat['time'] = waypoint[near_idx][0]\n                feat[\"path\"] = file.split('/')[-1].split('.')[0] \n                dfs.append(feat)\n\n    building_df = pd.concat(dfs)\n    building_dfs[building] = df\n    building_df.to_csv(building+\"_1000_train.csv\")","metadata":{"execution":{"iopub.status.busy":"2023-05-05T02:39:07.629418Z","iopub.execute_input":"2023-05-05T02:39:07.629843Z","iopub.status.idle":"2023-05-05T02:41:16.779922Z","shell.execute_reply.started":"2023-05-05T02:39:07.629788Z","shell.execute_reply":"2023-05-05T02:41:16.778923Z"},"trusted":true},"execution_count":19,"outputs":[{"name":"stderr","text":"100%|██████████| 109/109 [00:20<00:00,  5.34it/s]\n100%|██████████| 131/131 [00:24<00:00,  5.41it/s]\n100%|██████████| 110/110 [00:31<00:00,  3.52it/s]\n100%|██████████| 78/78 [00:15<00:00,  5.06it/s]\n100%|██████████| 86/86 [00:31<00:00,  2.72it/s]\n","output_type":"stream"}]},{"cell_type":"code","source":"building_df","metadata":{"execution":{"iopub.status.busy":"2023-05-05T02:49:08.902486Z","iopub.execute_input":"2023-05-05T02:49:08.902956Z","iopub.status.idle":"2023-05-05T02:49:08.939519Z","shell.execute_reply.started":"2023-05-05T02:49:08.902912Z","shell.execute_reply":"2023-05-05T02:49:08.938563Z"},"trusted":true},"execution_count":21,"outputs":[{"execution_count":21,"output_type":"execute_result","data":{"text/plain":"2  4cff1c8cfec27801ddc9a690ade87c57f1142ee0  \\\n3                                      -999   \n3                                      -999   \n3                                      -999   \n3                                      -999   \n3                                      -999   \n..                                      ...   \n3                                       -81   \n3                                       -84   \n3                                       -87   \n3                                       -87   \n3                                       -87   \n\n2  5b225e187d0dec3110683a74d0c9a5a4cb2022f5  \\\n3                                      -999   \n3                                      -999   \n3                                      -999   \n3                                      -999   \n3                                      -999   \n..                                      ...   \n3                                      -999   \n3                                      -999   \n3                                      -999   \n3                                      -999   \n3                                      -999   \n\n2  61a14256d195624aadd9dfd55c8643505635edd7  \\\n3                                      -999   \n3                                      -999   \n3                                      -999   \n3                                      -999   \n3                                      -999   \n..                                      ...   \n3                                       -90   \n3                                       -90   \n3                                       -90   \n3                                       -90   \n3                                       -90   \n\n2  a09ab3d8a7700fec7b83389c06088c91748be41c  \\\n3                                      -999   \n3                                      -999   \n3                                      -999   \n3                                      -999   \n3                                      -999   \n..                                      ...   \n3                                       -90   \n3                                       -90   \n3                                       -90   \n3                                       -90   \n3                                       -90   \n\n2  a52823c2ed57e18f81da316e5bcac8bd2754ce96  \\\n3                                      -999   \n3                                      -999   \n3                                      -999   \n3                                      -999   \n3                                      -999   \n..                                      ...   \n3                                       -91   \n3                                       -91   \n3                                       -91   \n3                                       -91   \n3                                       -91   \n\n2  b2546cae6e588d38618eacc557dd0385812197cf  \\\n3                                      -999   \n3                                      -999   \n3                                      -999   \n3                                      -999   \n3                                      -999   \n..                                      ...   \n3                                      -999   \n3                                      -999   \n3                                      -999   \n3                                      -999   \n3                                      -999   \n\n2  b26914599f6d9ba16b43975394e1eeb9d82f4bab  \\\n3                                      -999   \n3                                      -999   \n3                                      -999   \n3                                      -999   \n3                                      -999   \n..                                      ...   \n3                                      -999   \n3                                      -999   \n3                                      -999   \n3                                      -999   \n3                                      -999   \n\n2  c59f0226dcdf235d7cfaba662bbdb5d31b4c3f14  \\\n3                                      -999   \n3                                      -999   \n3                                      -999   \n3                                      -999   \n3                                      -999   \n..                                      ...   \n3                                       -93   \n3                                       -93   \n3                                       -93   \n3                                       -93   \n3                                       -93   \n\n2  c93c29d2173b811a18de34940ccc210a3064230e  \\\n3                                      -999   \n3                                      -999   \n3                                      -999   \n3                                      -999   \n3                                      -999   \n..                                      ...   \n3                                       -89   \n3                                       -89   \n3                                       -89   \n3                                       -89   \n3                                       -89   \n\n2  d84cce12fbfba61bf930123050f61a11e2a29310          x           y  f  \\\n3                                      -999  107.85044  161.892620 -1   \n3                                      -999  107.85044  161.892620 -1   \n3                                      -999   98.33065  163.343340 -1   \n3                                      -999   98.33065  163.343340 -1   \n3                                      -999   98.33065  163.343340 -1   \n..                                      ...        ...         ... ..   \n3                                      -999  177.74245   43.230667  3   \n3                                      -999  177.74245   43.230667  3   \n3                                      -999  184.32394   44.518470  3   \n3                                      -999  184.32394   44.518470  3   \n3                                      -999  184.32394   44.518470  3   \n\n2            time                      path  \n3   1578467409265  5e1580adf4c3420006d520d4  \n3   1578467409265  5e1580adf4c3420006d520d4  \n3   1578467419555  5e1580adf4c3420006d520d4  \n3   1578467419555  5e1580adf4c3420006d520d4  \n3   1578467419555  5e1580adf4c3420006d520d4  \n..            ...                       ...  \n3   1561446609376  5d11dc189c50c70008fe8ae1  \n3   1561446609376  5d11dc189c50c70008fe8ae1  \n3   1561446619214  5d11dc189c50c70008fe8ae1  \n3   1561446619214  5d11dc189c50c70008fe8ae1  \n3   1561446619214  5d11dc189c50c70008fe8ae1  \n\n[9296 rows x 15 columns]","text/html":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th>2</th>\n      <th>4cff1c8cfec27801ddc9a690ade87c57f1142ee0</th>\n      <th>5b225e187d0dec3110683a74d0c9a5a4cb2022f5</th>\n      <th>61a14256d195624aadd9dfd55c8643505635edd7</th>\n      <th>a09ab3d8a7700fec7b83389c06088c91748be41c</th>\n      <th>a52823c2ed57e18f81da316e5bcac8bd2754ce96</th>\n      <th>b2546cae6e588d38618eacc557dd0385812197cf</th>\n      <th>b26914599f6d9ba16b43975394e1eeb9d82f4bab</th>\n      <th>c59f0226dcdf235d7cfaba662bbdb5d31b4c3f14</th>\n      <th>c93c29d2173b811a18de34940ccc210a3064230e</th>\n      <th>d84cce12fbfba61bf930123050f61a11e2a29310</th>\n      <th>x</th>\n      <th>y</th>\n      <th>f</th>\n      <th>time</th>\n      <th>path</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>3</th>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>107.85044</td>\n      <td>161.892620</td>\n      <td>-1</td>\n      <td>1578467409265</td>\n      <td>5e1580adf4c3420006d520d4</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>107.85044</td>\n      <td>161.892620</td>\n      <td>-1</td>\n      <td>1578467409265</td>\n      <td>5e1580adf4c3420006d520d4</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>98.33065</td>\n      <td>163.343340</td>\n      <td>-1</td>\n      <td>1578467419555</td>\n      <td>5e1580adf4c3420006d520d4</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>98.33065</td>\n      <td>163.343340</td>\n      <td>-1</td>\n      <td>1578467419555</td>\n      <td>5e1580adf4c3420006d520d4</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>98.33065</td>\n      <td>163.343340</td>\n      <td>-1</td>\n      <td>1578467419555</td>\n      <td>5e1580adf4c3420006d520d4</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>-81</td>\n      <td>-999</td>\n      <td>-90</td>\n      <td>-90</td>\n      <td>-91</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-93</td>\n      <td>-89</td>\n      <td>-999</td>\n      <td>177.74245</td>\n      <td>43.230667</td>\n      <td>3</td>\n      <td>1561446609376</td>\n      <td>5d11dc189c50c70008fe8ae1</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>-84</td>\n      <td>-999</td>\n      <td>-90</td>\n      <td>-90</td>\n      <td>-91</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-93</td>\n      <td>-89</td>\n      <td>-999</td>\n      <td>177.74245</td>\n      <td>43.230667</td>\n      <td>3</td>\n      <td>1561446609376</td>\n      <td>5d11dc189c50c70008fe8ae1</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>-87</td>\n      <td>-999</td>\n      <td>-90</td>\n      <td>-90</td>\n      <td>-91</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-93</td>\n      <td>-89</td>\n      <td>-999</td>\n      <td>184.32394</td>\n      <td>44.518470</td>\n      <td>3</td>\n      <td>1561446619214</td>\n      <td>5d11dc189c50c70008fe8ae1</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>-87</td>\n      <td>-999</td>\n      <td>-90</td>\n      <td>-90</td>\n      <td>-91</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-93</td>\n      <td>-89</td>\n      <td>-999</td>\n      <td>184.32394</td>\n      <td>44.518470</td>\n      <td>3</td>\n      <td>1561446619214</td>\n      <td>5d11dc189c50c70008fe8ae1</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>-87</td>\n      <td>-999</td>\n      <td>-90</td>\n      <td>-90</td>\n      <td>-91</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-93</td>\n      <td>-89</td>\n      <td>-999</td>\n      <td>184.32394</td>\n      <td>44.518470</td>\n      <td>3</td>\n      <td>1561446619214</td>\n      <td>5d11dc189c50c70008fe8ae1</td>\n    </tr>\n  </tbody>\n</table>\n<p>9296 rows × 15 columns</p>\n</div>"},"metadata":{}}]},{"cell_type":"code","source":"# 만들어진 데이터 확인\n\nbase_dir = \"../input/indoor-navigation-and-location-wifi-features/wifi_features\"\ntrain_dir = \"/train/*_train.csv\"\ntest_dir = \"/test/*_test.csv\"\n\n# Paths for train & test files\ntrain_paths = sorted(glob(base_dir + train_dir))\ntest_paths = sorted(glob(base_dir + test_dir))\nsample_subm = pd.read_csv('../input/indoor-location-navigation/sample_submission.csv',\n                          index_col=0)\n\nprint(\"Len Train Files: {}\".format(len(train_paths)), \"\\n\" +\n      \"Len Test Files: {}\".format(len(test_paths)))","metadata":{"execution":{"iopub.status.busy":"2023-05-05T02:10:16.137367Z","iopub.execute_input":"2023-05-05T02:10:16.137935Z","iopub.status.idle":"2023-05-05T02:10:16.153666Z","shell.execute_reply.started":"2023-05-05T02:10:16.137899Z","shell.execute_reply":"2023-05-05T02:10:16.152249Z"},"trusted":true},"execution_count":3,"outputs":[{"traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)","\u001b[0;32m<ipython-input-3-3646df2cb748>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      7\u001b[0m \u001b[0;31m# Paths for train & test files\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 8\u001b[0;31m \u001b[0mtrain_paths\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msorted\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mglob\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbase_dir\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mtrain_dir\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      9\u001b[0m \u001b[0mtest_paths\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msorted\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mglob\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbase_dir\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mtest_dir\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     10\u001b[0m sample_subm = pd.read_csv('../input/indoor-location-navigation/sample_submission.csv',\n","\u001b[0;31mNameError\u001b[0m: name 'glob' is not defined"],"ename":"NameError","evalue":"name 'glob' is not defined","output_type":"error"}]},{"cell_type":"code","source":"train_df = pd.read_csv(train_paths[0], index_col=0)\ntest_df = pd.read_csv(test_paths[0], index_col=0).iloc[:, :-1]","metadata":{"execution":{"iopub.status.busy":"2023-05-05T02:10:16.154717Z","iopub.status.idle":"2023-05-05T02:10:16.155251Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# still run plot","metadata":{}},{"cell_type":"code","source":"# How 1 path looks\nbase = '../input/indoor-location-navigation'\npath = f'{base}/train/5cd56b5ae2acfd2d33b58549/5F/5d06134c4a19c000086c4324.txt'\nwith open(path) as p:\n    lines = p.readlines()\n\nprint(\"No. Lines in 1 example: {:,}\". format(len(lines)), \"\\n\" +\n      \"Example (5 lines): \", lines[0:5])","metadata":{"execution":{"iopub.status.busy":"2023-05-06T13:49:28.950028Z","iopub.execute_input":"2023-05-06T13:49:28.950438Z","iopub.status.idle":"2023-05-06T13:49:29.00645Z","shell.execute_reply.started":"2023-05-06T13:49:28.950404Z","shell.execute_reply":"2023-05-06T13:49:29.004909Z"},"trusted":true},"execution_count":6,"outputs":[{"name":"stdout","text":"No. Lines in 1 example: 126,240 \nExample (5 lines):  ['#\\tstartTime:1560676618881\\n', '#\\tSiteID:5cd56b5ae2acfd2d33b58549\\tSiteName:百联南方购物中心\\tFloorId:5cd56b5be2acfd2d33b5859d\\tFloorName:5F\\n', '#\\tBrand:HUAWEI\\tModel:VTR-AL00\\tAndroidName:8.0.0\\tAPILevel:26\\t\\n', '#\\ttype:1\\tname:accelerometer-icm20690\\tversion:1\\tvendor:invensense\\tresolution:0.009576807\\tpower:0.23\\tmaximumRange:78.4532\\n', '#\\ttype:4\\tname:gyroscope-icm20690\\tversion:1\\tvendor:invensense\\tresolution:1.7453292E-5\\tpower:6.1\\tmaximumRange:34.906586\\n']\n","output_type":"stream"}]},{"cell_type":"code","source":"sample_path = glob(f'{base}/train/5cd56b5ae2acfd2d33b58549/5F/*')","metadata":{"execution":{"iopub.status.busy":"2023-05-06T13:49:29.08693Z","iopub.execute_input":"2023-05-06T13:49:29.087302Z","iopub.status.idle":"2023-05-06T13:49:29.092481Z","shell.execute_reply.started":"2023-05-06T13:49:29.08727Z","shell.execute_reply":"2023-05-06T13:49:29.091237Z"},"trusted":true},"execution_count":7,"outputs":[]},{"cell_type":"code","source":"waypoint = []\nstill_run = []\nfor path in sample_path:\n    with open(path) as p:\n        lines = p.readlines()\n    idx = pd.Series(lines).apply(lambda x : x.strip().split('\\t')[1] == 'TYPE_WAYPOINT')\n    way = pd.Series(lines)[idx].apply(lambda x : x.strip().split('\\t')).values\n    way = np.vstack(way)\n    \n    # still run 오차 10\n    previous = way[1:, -2:].astype(float)\n    future = way[:-1, -2:].astype(float)\n    still_run.append(np.abs(previous - future).sum(axis=1) < 10)\n    \n    idx = pd.Series(lines).apply(lambda x : x.strip().split('\\t')[1] == 'TYPE_ACCELEROMETER')\n    acc = np.vstack(pd.Series(lines)[idx].apply(lambda x : np.array(x.strip().split('\\t'))[[0, 2, 3, 4]]).values)\n    \n    near_idx = []\n    for t in way[:, 0].astype(int):\n        near_idx.append(np.argmin(abs(t - acc[:, 0].astype(int))))\n    way = np.c_[way, acc[near_idx, 1:]]\n    waypoint.append(way)","metadata":{"execution":{"iopub.status.busy":"2023-05-06T15:00:48.506153Z","iopub.execute_input":"2023-05-06T15:00:48.506768Z","iopub.status.idle":"2023-05-06T15:00:53.222226Z","shell.execute_reply.started":"2023-05-06T15:00:48.506691Z","shell.execute_reply":"2023-05-06T15:00:53.221326Z"},"trusted":true},"execution_count":65,"outputs":[]},{"cell_type":"code","source":"# still_run","metadata":{"execution":{"iopub.status.busy":"2023-05-06T15:00:57.43018Z","iopub.execute_input":"2023-05-06T15:00:57.430848Z","iopub.status.idle":"2023-05-06T15:00:57.435792Z","shell.execute_reply.started":"2023-05-06T15:00:57.430789Z","shell.execute_reply":"2023-05-06T15:00:57.434401Z"},"trusted":true},"execution_count":66,"outputs":[]},{"cell_type":"code","source":"idx = -4\nst_df = pd.DataFrame(waypoint[idx][1:, [0, 2, 3, 4, 5, 6]], columns=[\"time\", \"x\", \"y\", \"acc_x\", \"acc_y\", \"acc_z\"])\nst_df['st'] = still_run[idx]\nst_df.acc_x = st_df.acc_x.astype(float)\nst_df.acc_y = st_df.acc_y.astype(float)\nst_df.acc_z = st_df.acc_z.astype(float)","metadata":{"execution":{"iopub.status.busy":"2023-05-06T15:18:10.78605Z","iopub.execute_input":"2023-05-06T15:18:10.786424Z","iopub.status.idle":"2023-05-06T15:18:10.797062Z","shell.execute_reply.started":"2023-05-06T15:18:10.786392Z","shell.execute_reply":"2023-05-06T15:18:10.795738Z"},"trusted":true},"execution_count":128,"outputs":[]},{"cell_type":"code","source":"sns.lineplot(data=st_df, x='time', y='acc_x')\nsns.scatterplot(data=st_df, x='time', y='acc_x', hue='st')\nplt.xticks(rotation=90)\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2023-05-06T15:18:11.014918Z","iopub.execute_input":"2023-05-06T15:18:11.015305Z","iopub.status.idle":"2023-05-06T15:18:11.431144Z","shell.execute_reply.started":"2023-05-06T15:18:11.015261Z","shell.execute_reply":"2023-05-06T15:18:11.42981Z"},"trusted":true},"execution_count":129,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 432x288 with 1 Axes>","image/png":"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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","source":"sns.lineplot(data=st_df, x='time', y='acc_y')\nsns.scatterplot(data=st_df, x='time', y='acc_y', hue='st')\nplt.xticks(rotation=90)\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2023-05-06T15:18:11.43354Z","iopub.execute_input":"2023-05-06T15:18:11.434026Z","iopub.status.idle":"2023-05-06T15:18:11.849564Z","shell.execute_reply.started":"2023-05-06T15:18:11.433977Z","shell.execute_reply":"2023-05-06T15:18:11.848427Z"},"trusted":true},"execution_count":130,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 432x288 with 1 Axes>","image/png":"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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","source":"sns.lineplot(data=st_df, x='time', y='acc_z')\nsns.scatterplot(data=st_df, x='time', y='acc_z', hue='st')\nplt.xticks(rotation=90)\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2023-05-06T15:18:11.852358Z","iopub.execute_input":"2023-05-06T15:18:11.852842Z","iopub.status.idle":"2023-05-06T15:18:12.268303Z","shell.execute_reply.started":"2023-05-06T15:18:11.852786Z","shell.execute_reply":"2023-05-06T15:18:12.267217Z"},"trusted":true},"execution_count":131,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 432x288 with 1 Axes>","image/png":"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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","source":"np.c_[way, acc[near_idx, 1:]]","metadata":{"execution":{"iopub.status.busy":"2023-05-06T14:09:32.081178Z","iopub.execute_input":"2023-05-06T14:09:32.081572Z","iopub.status.idle":"2023-05-06T14:09:32.088762Z","shell.execute_reply.started":"2023-05-06T14:09:32.08153Z","shell.execute_reply":"2023-05-06T14:09:32.087638Z"},"trusted":true},"execution_count":56,"outputs":[{"execution_count":56,"output_type":"execute_result","data":{"text/plain":"array([['1560678684912', 'TYPE_WAYPOINT', '102.37239', '88.085495',\n        '-0.46926352', '2.9496565', '10.419566'],\n       ['1560678702515', 'TYPE_WAYPOINT', '109.42475', '68.43855',\n        '-0.46926352', '2.9496565', '10.419566'],\n       ['1560678721089', 'TYPE_WAYPOINT', '102.37239', '88.085495',\n        '-0.46926352', '2.9496565', '10.419566']], dtype='<U18')"},"metadata":{}}]},{"cell_type":"code","source":"acc[:10, :]","metadata":{"execution":{"iopub.status.busy":"2023-05-06T14:08:02.078806Z","iopub.execute_input":"2023-05-06T14:08:02.07921Z","iopub.status.idle":"2023-05-06T14:08:02.087384Z","shell.execute_reply.started":"2023-05-06T14:08:02.079172Z","shell.execute_reply":"2023-05-06T14:08:02.085432Z"},"trusted":true},"execution_count":52,"outputs":[{"execution_count":52,"output_type":"execute_result","data":{"text/plain":"array([['1560678685122', '-0.009576807', '2.183512', '9.193734'],\n       ['1560678685143', '-0.15322891', '2.1930888', '9.222465'],\n       ['1560678685163', '-0.45010993', '2.1260512', '9.56723'],\n       ['1560678685182', '-0.45010993', '2.2122424', '9.854534'],\n       ['1560678685202', '0.05746084', '1.5993267', '9.854534'],\n       ['1560678685223', '0.1436521', '1.5514427', '9.615114'],\n       ['1560678685242', '0.038307227', '1.6280571', '9.490616'],\n       ['1560678685262', '-0.019153614', '1.8004397', '10.01734'],\n       ['1560678685283', '-0.1340753', '1.7812861', '10.697293'],\n       ['1560678685303', '-0.19153613', '1.6950948', '10.477027']],\n      dtype='<U18')"},"metadata":{}}]},{"cell_type":"code","source":"near_idx = np.argmin(abs(np.vstack(waypoint)[:, 0].astype(int) - int(gid)))","metadata":{},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"previous = a[1:, -2:].astype(float)\nfuture = a[:-1, -2:].astype(float)","metadata":{"execution":{"iopub.status.busy":"2023-05-06T13:50:32.007395Z","iopub.execute_input":"2023-05-06T13:50:32.008038Z","iopub.status.idle":"2023-05-06T13:50:32.012632Z","shell.execute_reply.started":"2023-05-06T13:50:32.007974Z","shell.execute_reply":"2023-05-06T13:50:32.011683Z"},"trusted":true},"execution_count":18,"outputs":[]},{"cell_type":"code","source":"previous, future","metadata":{"execution":{"iopub.status.busy":"2023-05-06T13:50:32.25948Z","iopub.execute_input":"2023-05-06T13:50:32.259953Z","iopub.status.idle":"2023-05-06T13:50:32.268332Z","shell.execute_reply.started":"2023-05-06T13:50:32.259912Z","shell.execute_reply":"2023-05-06T13:50:32.26649Z"},"trusted":true},"execution_count":19,"outputs":[{"execution_count":19,"output_type":"execute_result","data":{"text/plain":"(array([[64.31829 , 87.89462 ],\n        [73.65938 , 98.328094],\n        [64.31829 , 87.89462 ],\n        [54.840454, 77.41866 ]]),\n array([[54.840454, 77.41866 ],\n        [64.31829 , 87.89462 ],\n        [73.65938 , 98.328094],\n        [64.31829 , 87.89462 ]]))"},"metadata":{}}]},{"cell_type":"code","source":"np.abs(previous - future).sum(axis=1) < 10","metadata":{"execution":{"iopub.status.busy":"2023-05-06T13:51:58.461853Z","iopub.execute_input":"2023-05-06T13:51:58.462236Z","iopub.status.idle":"2023-05-06T13:51:58.470056Z","shell.execute_reply.started":"2023-05-06T13:51:58.4622Z","shell.execute_reply":"2023-05-06T13:51:58.468655Z"},"trusted":true},"execution_count":24,"outputs":[{"execution_count":24,"output_type":"execute_result","data":{"text/plain":"array([False, False, False, False])"},"metadata":{}}]},{"cell_type":"code","source":"# Import Libraries\n# ~~~~\n# Data\n# ~~~~\nbase_dir = \"../input/indoor-navigation-and-location-wifi-features/wifi_features\"\ntrain_dir = \"/train/*_train.csv\"\ntest_dir = \"/test/*_test.csv\"\n\n# Paths for train & test files\ntrain_paths = sorted(glob(base_dir + train_dir))\ntest_paths = sorted(glob(base_dir + test_dir))\nsample_subm = pd.read_csv('../input/indoor-location-navigation/sample_submission.csv',\n                          index_col=0)\n\nprint(\"Len Train Files: {}\".format(len(train_paths)), \"\\n\" +\n      \"Len Test Files: {}\".format(len(test_paths)))","metadata":{"execution":{"iopub.status.busy":"2023-05-05T11:04:51.513305Z","iopub.execute_input":"2023-05-05T11:04:51.513607Z","iopub.status.idle":"2023-05-05T11:04:51.600745Z","shell.execute_reply.started":"2023-05-05T11:04:51.513577Z","shell.execute_reply":"2023-05-05T11:04:51.599915Z"},"trusted":true},"execution_count":5,"outputs":[{"name":"stdout","text":"Len Train Files: 24 \nLen Test Files: 24\n","output_type":"stream"}]},{"cell_type":"code","source":"# pull out all the buildings actually used in the test set, given current method we don't need the other ones\nssubm = pd.read_csv('../input/indoor-location-navigation/sample_submission.csv')\n\n# only 24 of the total buildings are used in the test set, \n# this allows us to greatly reduce the intial size of the dataset\n\nssubm_df = ssubm[\"site_path_timestamp\"].apply(lambda x: pd.Series(x.split(\"_\")))\nused_buildings = sorted(ssubm_df[0].value_counts().index.tolist())\n\n# dictionary used to map the floor codes to the values used in the submission file. \nfloor_map = {\"B2\":-2, \"B1\":-1, \"F1\":0, \"F2\": 1, \"F3\":2, \"F4\":3, \"F5\":4, \"F6\":5, \"F7\":6,\"F8\":7, \"F9\":8,\n             \"1F\":0, \"2F\":1, \"3F\":2, \"4F\":3, \"5F\":4, \"6F\":5, \"7F\":6, \"8F\": 7, \"9F\":8}","metadata":{"execution":{"iopub.status.busy":"2023-05-05T11:05:20.329705Z","iopub.execute_input":"2023-05-05T11:05:20.330383Z","iopub.status.idle":"2023-05-05T11:05:22.808676Z","shell.execute_reply.started":"2023-05-05T11:05:20.330324Z","shell.execute_reply":"2023-05-05T11:05:22.807581Z"},"trusted":true},"execution_count":8,"outputs":[]},{"cell_type":"code","source":"train_df = pd.read_csv(train_paths[0], index_col=0)\ntest_df = pd.read_csv(test_paths[0], index_col=0).iloc[:, :-1]","metadata":{"execution":{"iopub.status.busy":"2023-05-05T11:04:51.601813Z","iopub.execute_input":"2023-05-05T11:04:51.602269Z","iopub.status.idle":"2023-05-05T11:04:53.4336Z","shell.execute_reply.started":"2023-05-05T11:04:51.60223Z","shell.execute_reply":"2023-05-05T11:04:53.431886Z"},"trusted":true},"execution_count":6,"outputs":[]},{"cell_type":"code","source":"# idx = pd.Series(lines).apply(lambda x : x.strip().split('\\t')[1] == 'TYPE_BEACON')\n# pd.Series(lines)[idx].apply(lambda x : x.strip().split('\\t'))","metadata":{"execution":{"iopub.status.busy":"2023-05-06T10:00:55.461439Z","iopub.execute_input":"2023-05-06T10:00:55.461815Z","iopub.status.idle":"2023-05-06T10:00:55.466092Z","shell.execute_reply.started":"2023-05-06T10:00:55.461784Z","shell.execute_reply":"2023-05-06T10:00:55.464718Z"},"trusted":true},"execution_count":44,"outputs":[]},{"cell_type":"code","source":"base_path = '../input/indoor-location-navigation/'\nbssid = dict()\nfrom tqdm import tqdm\nstill_run = []\nfor building in tqdm(used_buildings):\n    folders = sorted(glob(os.path.join(base_path,'train/'+building+'/*')))\n    print(building)\n    for i, folder in enumerate(folders):\n        waypoint = list()\n        for file in glob(folder + '/*'):\n            with open(file) as p:\n                lines = p.readlines()\n            idx = pd.Series(lines).apply(lambda x : x.strip().split('\\t')[1] == 'TYPE_WAYPOINT')\n            # bssid 만 뽑기\n            waypoint.extend(pd.Series(lines)[idx].apply(lambda x : x.strip().split('\\t')).values)\n        x_y = np.vstack(waypoint)[:, 2:4].astype(float)\n        still_run.extend((x_y[:-1] == x_y[1:]).all(axis=1))","metadata":{"execution":{"iopub.status.busy":"2023-05-05T11:05:28.640349Z","iopub.execute_input":"2023-05-05T11:05:28.640864Z","iopub.status.idle":"2023-05-05T11:06:14.119761Z","shell.execute_reply.started":"2023-05-05T11:05:28.640816Z","shell.execute_reply":"2023-05-05T11:06:14.118072Z"},"trusted":true},"execution_count":9,"outputs":[{"name":"stderr","text":"  0%|          | 0/24 [00:00<?, ?it/s]","output_type":"stream"},{"name":"stdout","text":"5a0546857ecc773753327266\n","output_type":"stream"},{"name":"stderr","text":"  4%|▍         | 1/24 [00:26<10:04, 26.26s/it]","output_type":"stream"},{"name":"stdout","text":"5c3c44b80379370013e0fd2b\n","output_type":"stream"},{"name":"stderr","text":"  4%|▍         | 1/24 [00:45<17:25, 45.44s/it]\n","output_type":"stream"},{"traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)","\u001b[0;32m<ipython-input-9-59834bf70f98>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     10\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0mfile\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mglob\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfolder\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;34m'/*'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     11\u001b[0m             \u001b[0;32mwith\u001b[0m \u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfile\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mp\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 12\u001b[0;31m                 \u001b[0mlines\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreadlines\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     13\u001b[0m             \u001b[0midx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mSeries\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlines\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mapply\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;32mlambda\u001b[0m \u001b[0mx\u001b[0m \u001b[0;34m:\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstrip\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msplit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'\\t'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m'TYPE_WAYPOINT'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     14\u001b[0m             \u001b[0;31m# bssid 만 뽑기\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/opt/conda/lib/python3.7/codecs.py\u001b[0m in \u001b[0;36mdecode\u001b[0;34m(self, input, final)\u001b[0m\n\u001b[1;32m    317\u001b[0m         \u001b[0;32mraise\u001b[0m \u001b[0mNotImplementedError\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    318\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 319\u001b[0;31m     \u001b[0;32mdef\u001b[0m \u001b[0mdecode\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minput\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfinal\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    320\u001b[0m         \u001b[0;31m# decode input (taking the buffer into account)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    321\u001b[0m         \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbuffer\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0minput\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;31mKeyboardInterrupt\u001b[0m: "],"ename":"KeyboardInterrupt","evalue":"","output_type":"error"}]},{"cell_type":"code","source":"pd.Series(still_run).value_counts()\n\nf, axs = plt.subplots(1,figsize=(15,10))\nplt.rcParams.update({\"font.size\":25})\nobject_cnt = s_r.value_counts().sort_values(ascending=False)\n# name_list = [crop_aware_name_decoder[i] for i in object_cnt.index.tolist()]\nname_list = ['moving', 'still']\naxs.bar(name_list, object_cnt.values, color=['#d4dddd' if i%2==0 else '#F5DEB3' for i in range(len(name_list))])\nfor x,y,z in zip(range(len(name_list)), object_cnt.values, object_cnt.values/object_cnt.sum()*100):        \n    axs.annotate('%d\\n(%.2f%%)' %(int(y),z), xy=(x,y+100), textcoords='data', ha = 'center') \naxs.axis(ymin=0,ymax=int(max(object_cnt)*1.1))\naxs.set_xticklabels(name_list, rotation = 0,fontsize = 30)\n# axs.set_title(\"Class\")\nf.tight_layout()\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2023-05-01T10:32:19.449976Z","iopub.execute_input":"2023-05-01T10:32:19.45049Z","iopub.status.idle":"2023-05-01T10:32:19.75242Z","shell.execute_reply.started":"2023-05-01T10:32:19.450439Z","shell.execute_reply":"2023-05-01T10:32:19.75117Z"},"trusted":true},"execution_count":94,"outputs":[{"name":"stderr","text":"/opt/conda/lib/python3.7/site-packages/ipykernel_launcher.py:10: UserWarning: FixedFormatter should only be used together with FixedLocator\n  # Remove the CWD from sys.path while we load stuff.\n","output_type":"stream"},{"output_type":"display_data","data":{"text/plain":"<Figure size 1080x720 with 1 Axes>","image/png":"iVBORw0KGgoAAAANSUhEUgAABBAAAAKoCAYAAADOLAzSAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/Il7ecAAAACXBIWXMAAAsTAAALEwEAmpwYAAB0l0lEQVR4nOzdd7xU1b3//9dHQOlNESNREGLBEn+RYxIbagy2RGNiSaJeYwdivsnVqGlG0BSvPTdFAVtii9fEqNdEEWMSFes9pinWCGIAEZB2KCJl/f6YPYdhmJk9IHI4+Ho+HvOYvfdan7XXnPu4knnP2ntHSglJkiRJkqRaNmnpCUiSJEmSpA2fAYIkSZIkScplgCBJkiRJknIZIEiSJEmSpFwGCJIkSZIkKZcBgiRJkiRJytW2pSfwQbXFFlukfv36tfQ0JEmSJElq9uyzz85KKfWq1GaA0EL69etHY2NjS09DkiRJkqRmETG5WpuXMEiSJEmSpFwGCJIkSZIkKZcBgiRJkiRJymWAIEmSJEmSchkgSJIkSZKkXAYIkiRJkiQplwGCJEmSJEnKZYAgSZIkSZJyGSBIkiRJkqRcaxwgRMSQiLgzIiZHxDsRsTgiJkbEbRGxf05t74i4MiJezupmR8RjEXF6REQd5x4QEaMjYlJ27hkR8WBEHF3n3PeIiFsjYkpELImINyPi7oj4VJ31B2b938zqp2Tj7VFPvaRVRUTdrwMPPHC1+pEjR9ZV+69//avmPF577TWGDh3KdtttR/v27dlyyy055JBDuOuuu+r6HH/961858cQT+fCHP8xmm23Ghz70IT7/+c/zpz/9qWbdSy+9xI033shZZ53FXnvtRceOHZvnLEmSJG1o2tbbMfuCfy0wtOTwO0ACtstex0fE1SmlcyrUDwIeBDbPDi0AugD7Zq9jI+LIlNKSKuc/HPgN0DE7ND8b62Dg4Ii4CTgtpZSq1J+ezb/4mecBvYGjgKMi4qKU0sgan38kMCLbTdn5+wAnAF+MiOEppeur1UtaXe/evWu2L126lNmzZwOw5557Vu3Xrl07evbsWbW9bdvq/6m7//77OfbYY1m0aBEAXbt25e2332bcuHGMGzeOU045hRtuuKHql/rrr7+e4cOHs2zZMgC6devGW2+9xT333MM999zDiBEjGDlyZMXaYcOG8cgjj1SdmyRJkrQhWZMVCCezMjz4LbBDSqlDSqkjsBNwb9Z2dkR8vrQwIroBv6fwhf8lYM+UUhegE/A1YCmFIODqSieOiO2AOymEB48DO6aUugHdgIuzbqcA51Wp3wsYRSE8uAfYJqXUHegFjM66jYiI46rUH8fK8GA00Cur3yYbry0wKjuPpDpNnz695uu73/1uc9/TTjut6jh77713zXH69etXsW7SpEkcd9xxLFq0iH322YeXX36ZefPmMW/ePC688EIAbrrpJi6//PKK9U8++STDhg1j2bJlHHXUUfz73/9m7ty5zJw5k6FDC/+5vOiii7jzzjsr1rdt25aBAwdy4oknctVVV3HOOatlr5IkSdKGI6VU1wv4M4Vf3l8F2lZobwe8lvX5dVnbD7Lji4DtKtR+J2tfRiGYKG+/JWt/E+heoX101j4P6FGh/bGs/Z9AuwrtY7P214E2ZW1tsuMJGFuhdtNs3AQ8Vu/fc9CgQUlSbQMHDkxA2nfffSu2jxgxIgFp//33X6vxTzzxxASkrbbaKs2ZM2e19jPPPDMBqWvXrmn27Nmrte+7774JSLvttlt69913V2s/5JBDEpD69u2bli1btlp7+bGbbropZf8tWavPI0mSJL1XQGOq8j12TVYgfCh7/0dKaVmFIGIp8Pdst3NZ80nZ+x0ppUkVxv4ZhUsa2lC4JKBZRHQCivc4uDalNLdC/SXZe1cKlySU1vencIkEwBXZPKvV9wUGl7Xtnx0H+HF5YUrpXeDKbHff7HyS3qMnnniCF198EYDTTz99nY+/cOHC5nscDB8+nO7du6/W5zvf+Q4A8+fP55577lmlbeLEiYwfPx6Ac889l3bt2lWtnzx5Mo8++uhq7W3atHkvH0GSJElar9YkQJiYve8eEatdUBwR7YD/L9ttLDm+I7BttvtApYFTSgsorBKAwqUMpfYFOuTUvw68WKV+SMn22Er1wHigKae+icLlE5WUzmtIlT6S1sANN9wAFO5JcOyxx67z8cePH8/ixYsBOOywwyr26devHwMHDgRg3Lhxq7Q99NBDzduHHnpoxfp9992XLl26VKyXJEmSWps1CRCuzd4/Avw6Ij5SbMhCgjuB/hQuYyi9l8GuJdvP1xi/2LZz2fHS+gl11O9SpX5GSmlGpcKU0nIK92aoVf9i1q9S/QxgZpV6SWtowYIFzfcNOP744+nYsWPN/hMmTGDXXXelQ4cOdO7cmR133JEzzjiDv/3tb1Vrnn9+5X+Odtml+v/b7rrrrs3nqFS/5ZZbsuWWW1asbdOmDTvttFPFekmSJKm1qTtASCndB5wNvAscA7waEYsiYhGFL98HUAgZPp5Sml9SunXJ9tQapyi2dY2I0ksgivVzUkqL6qjfuuz41mXt67te0hq64447WLBgAVDf5QuzZs3ixRdfpGPHjixZsoRXXnmF66+/nkGDBnHBBRdUrJk2bRoAPXr0qBlQ9OnTZ5X+5fXF9jWtlyRJklqbNVmBQErpJ8AXgOIv+R1YeXnBZhQey9itrKxLyXatAKC0rUuF7Vq1pe1dyo63dH2ziDgzIhojonHmzJnVukkfeNdfX3gi6u67786gQYOq9tt+++257LLLePnll3nnnXd4++23WbhwIQ8++CCDBg0ipcSPfvQjrrzyytVqm5oKVy3lrW4othf7r6t6SZIkqbWpO0CIiI4R8T8UHsf4BoV7BWxB4VGIB1O4vOBE4JmI+Oj7MNdWL6U0JqXUkFJq6NWrV0tPR9ogTZgwgaeffhrIX31wwgkncN5557HDDjs038Rw00035eCDD2b8+PHsueeeAIwcOZJ58+a9vxOXJEmSNnJrsgLhcuA44BVgcErpoZTS2ymlWSmlhyg8veAVCqHCL0rqSn92q/VTXWlbU4Xt2j/zrWwv/5mvpeslrYHi6oP27dtzwgkn5PSurn379vz4x4UHpyxYsICHH354lfbizQ0XLaq9uKjYXuy/ruolSZKk1qauACEiugBnZrs/TyktLu+THft5trtvRBTvKlZ64W+ti4WLbfOzpzIUFet7REStL/HF+vILjaeVta/vekl1evfdd7n11lsBOProo+nRo8d7Gm+vvfZq3p44ceIqbVtvXbhdyZw5c2qGAFOnTl2lf3l9sX1N6yVJkqTWpt4VCDsAxUc3vlaj36sl29tl76VPXih9okK5YtsLZcdL62s94aBYX36r82L9lhFR8bqBiGgD7JRTPzDrV6l+SwqXclSql1Sne++9l1mzZgH13TzxvSg+XQFqPyGh+LSF8ic1FOtnzJhBtXuaLF++nJdeeqlivSRJktTa1BsgrCjZ7lujX++S7SaAlNLLFO6ZAFDxYekR0QnYL9stf1j6eKC44qFafV9gYJX6h0q2Kz+sHfZh5c0Pq9V3AfauUl867kNV+kjKUbx84SMf+Qj777//ex7vqaeeat7ebrvtVmnbd9996dChcA/YsWPHVqyfPHkyL774IgAHH3zwKm1Dhgxp3q5W//jjjzffPLG8XpIkSWpt6g0QXmLll/jTI6JteYfs1/niZQ5zgJdLmm/O3r8UEf0qjH8W0BlYDtxW2pBSWgjcle0Oj4jypzwAfCt7bwLuKaufSCGEAPhmRLSrUP/t7H0y8GhZ2yPZ8dJ+zbLxvpntjs/OJ2kNvfHGG/zxj38E4NRTTyUiavZPKdVsX7JkCd/73vcA6NSpEwcddNAq7Z06deLoo48G4Nprr614k8VLL70UKNy/4KijjlqlrX///uy7774AXHnllSxdunS1+v/6r/8CoG/fvgwePLjmfCVJkqQNXV0BQnZ/g+uz3T2A+yJit4jYJHt9FLiflb/Q/ySltLxkiCuA6RRuNPiHiBgEEBGbRsRw4AdZvzEppVcqTOFCYCHwoezc22f1nSLiQmBY1u+HKaU5FerPpxBO7A7cERF9svqeEXENcFixX9m8yfbPz3YPj4hrIqJnVt8HuAP4aDb++UhaKzfeeCMrVqygbdu2nHzyybn9H330UT796U9z6623MmXKlObjS5cu5eGHH2a//fZrfprDhRdeSPfu3Vcb4+KLL6ZTp068+eabHHHEEbz6auEqrIULF3LxxRczatQoAC644IKK92O47LLLaNOmDf/4xz/40pe+1Hy/g9mzZ/PVr36VBx54YJV+5ZYsWcKsWbOaXwsWrLz9S+nxWbNmsWLFitXqJUmSpPUqpVTXC+gAPACkktc72av02O1Amwr1g4BZJf3mA++W7D8IbFbj/IdTCBGK/ecCy0r2bwKiRv3pwNKS/nMoXJpR3B+Z8/lHlvRdkdUX95cCp9f7t0wpMWjQoCSpYPny5alv374JSEceeWRdNX/+859L/7uTOnTokLbYYovUrl275mObbLJJ+u53v1tznD/84Q+pY8eOzTXdunVLbdq0ad4/+eST04oVK6rWX3fddalt27bN/bt3754ionl/xIgRVWtvuummVT5DrdekSZPq+rtIkiRJ7wXQmKp8j637MY6psArhcOBY4F5gClBcY/xvCpcZfDaldHwq+xU/q3+Wwk0Qr6Zws8V2WSAwHjgDOCyltKTG+e+n8Ev/dcDrFAKNuRTuOXBMSumU7MNWq78e+ASFgGMqhdUQMyhc8nBQSmlkzucfCRyU9Z+R1U/NxvtkNr6ktfDHP/6RyZMLVwrVe/PE3XbbjSuuuIKjjz6aHXbYgQ4dOjB37lw6dOjA7rvvzte+9jX+/ve/86Mf/ajmOIcffjj//Oc/OeOMM+jXrx+LFy+me/fuDBkyhN/+9rfcdNNNNS+nOP3003n66ac5/vjj6dOnD4sWLWLLLbfkqKOO4uGHH2bkyJF1/x0kSZKkDVnU+M6t91FDQ0NqbGxs6WlIkiRJktQsIp5NKTVUaqt7BYIkSZIkSfrgMkCQJEmSJEm5DBAkSZIkSVIuAwRJkiRJkpTLAEGSJEmSJOUyQJAkSZIkSbkMECRJkiRJUi4DBEmSJEmSlMsAQdJ7dsEFFxARXHbZZS09FWUOPfRQIoI//elPLT0VSZIkbSQMECS9J1OmTOGqq66iV69enHXWWau1r1ixgttuu42DDz6YXr16sdlmm9GnTx+OO+44Hn300dzxlyxZwjXXXMPgwYPp2bMnm222GX379uWUU07hH//4x3ue/+zZs7n44ov5+Mc/Tvfu3WnXrh09e/Zk77335pJLLmH+/PkV65YvX87DDz/Mueeey957783mm2++Su2Pf/xj5syZU/Pcd9xxBw0NDXTo0IHu3bvz2c9+lr/97W81a0aMGEFEcNVVV9XsN3LkSADOPfdcVqxYUbOvJEmSVJeUkq8WeA0aNChJG4OTTjopAenyyy9frW3BggXp4IMPTkACUps2bVKPHj3SJptskoAUEWnEiBFVx54+fXoaNGhQc327du1Sjx49UkQ071933XVrPfe//vWvqXfv3s3jR0Tq1q1b8/hA6tOnT5owYcJqtaeffnpzHyBtsskmqXv37qsc6927d3ryyScrnvsnP/lJc7/27dunNm3aJCB16NAh/d///V/FmhdffDFtuumm6WMf+1hatmxZ7uc75JBDEpB+9atfrdkfRpIkSR9YQGOq8j3WFQiS1trUqVO57bbb2HTTTTn11FNXax86dCjjxo1jk002af5Ffvbs2bz99tt873vfI6XERRddxO23375abUqJY445hmeffZYOHTpw3XXXMX/+fGbPns20adM47bTTWLp0KUOHDuWxxx5b47kvW7aMY445hrfeeovu3btz2223sWjRIubOncuiRYv41a9+RdeuXZk6dSpf/vKXV6tfunQpW265Jeeeey5PPPEE77zzDnPmzKGpqYnrr7+ezTffnLfeeovPfOYzzJw5c5Xa+fPnc8EFFwDw85//nAULFjB37ly++MUvsnjxYs4999yKf4+hQ4eyfPlyxowZQ5s2bXI/47BhwwC8tESSJEnrRrVkwZcrEKQ8I0aMSEA66qijVmt77rnnmn9h/8///M+K9V/5ylcSkLbeeuu0ZMmSVdp+//vfN9f/5Cc/qVh/wAEHJCA1NDSs8dz/8pe/NI9/0003Vexz/fXXN/d56aWXVml76qmn0qJFi6qO/8QTTzTX/uAHP1ilbezYsRXnPWfOnLTJJpukNm3arDZ2cS7V/paVLFmyJPXs2TMBafz48XXXSZIk6YMLVyBIWtdSStxwww0AHH/88au1/+EPf2jePu+88yqOcf755wMwbdo0xo0bt0rb73//ewA6derEV7/61Yr1xXEbGxt5/vnn12j+b775ZvN2Q0NDxT4f//jHm7cXLFiwStsnPvEJOnToUHX8vfbai5133hmA//u//1ulbdasWQAMGDBglePdu3dniy22YPny5cyePbv5+IwZMzj//PPZZptt+MEPflDrY61i00035eijjwZgzJgxdddJkiRJlRggSForzz//PFOmTAFgv/32W6198uTJAHTr1o2tt9664hjbb789bdu2BWDs2LEV6z/ykY/Qrl27ivUDBw5s3i6vz9O/f//m7cbGxop9nnnmGaAQYuy0005rND5A+/btgcINF0ttvvnmALz22murHJ83bx6zZs2iTZs29OzZs/n42WefzezZs/nFL35B586d12gOgwcPBtb87yNJkiSVM0CQtFaKT1DYZptt2Gqrrar2K//yXGrFihXNTwh47rnn1ri+tK1afTV77rln88qDc845h9tvv5133nkHgHfeeYdbbrmFc845B4BLL72UTp06rdH4s2bNal4Vsdtuu63Stvfee9OpUycaGxu55pprWLFiBQsXLuSrX/0qK1asYJ999mle3TBu3Dhuv/12jj76aI444og1mgMUVkpAYRXDSy+9tMb1kiRJUpEBgqS18vTTTwOw++67V2zv168fUFj6X1xNUO7FF19sDhCmTZtWsf5f//pX8xf7cqWXLZTX54kI7rrrLhoaGpgzZw4nnHACHTt2pEePHnTs2JGTTjqJnXfembvvvrvi4ynzfP/73+fdd9+lbdu2nHzyyau0de3alYsvvhiAs846i06dOtGtWzduv/122rdv33zTw8WLFzN8+HC6du3KT3/60zWeAxRWeRRXLTz55JNrNYYkSZIEBgiS1lLxC3uvXr0qth9++OHN2z/84Q8r9vnRj37UvD1//vxV2j7zmc8AhdUAV1555Wq1KSUuueSSqvX12HbbbRk3bhwnnHBC85hz586lcO+YQvgxY8aMNR73zjvvZNSoUUDhPg077rjjan3OOeccbr31Vj72sY+RUqJjx44ceuihPPbYY82rBi666CImTpzIJZdcwtZbb01TUxNnn302H/7wh9lss83Yaaed6goWipdMrGnIIkmSJJUyQJC0VoqPJiy9Vr/Urrvuype+9CUArr/+es4++2xef/11li5dyr/+9S+GDh3Kb3/72+b7G2yyyar/OTr88MPZa6+9ABg5ciQ//vGPmTZtGkuXLuW5557jC1/4As8880zV+nqMGzeOAQMG8Nvf/pYRI0bw0ksvsXDhQl566SVGjBjBq6++ytChQxk6dGjdYz722GPNKw4+9alPNa80qOSEE07gr3/9K++88w7z58/ngQceaL6s4rnnnuPKK6/kk5/8JMOGDWPZsmUccsgh/OQnP2GLLbbgy1/+Mk1NTXzjG99ovhllNcX/G5U/TlKSJElaI9Uez+DLxzhKteywww4JSN/97ner9mlqakpDhgxpfpxh+WuvvfZKJ510UgLSwIEDV6ufNm1a+tjHPla1/qijjkoHH3xwAtJhhx22RvOfPHly6tChQwLSjTfeWLHPDTfc0HyuP/7xj7ljPvHEE6lLly4JSPvss09qampaozkVLV++PH3yk59M7dq1S//85z9TSimNGTMmAWnIkCFp6dKlKaWU3nzzzbTFFlukiEgvv/xy1fH23nvvBKShQ4eu1XwkSZL0wYGPcZS0rhWXxc+ZM6dqn86dOzN27FjuvPNOPv/5z7PDDjvQt29f9t9/f37+85/z6KOPMn36dAB22GGH1eo/9KEP8dRTT3Hddddx+OGH85GPfITtttuOgw8+mFtuuYW7776b119/vWp9Lb/4xS9YvHgxPXv25JRTTqnY59RTT23+9f6uu+6qOd6TTz7JoYceSlNTE3vttRcPPPDAGj8xoWjUqFE89dRTnHvuuc03YLz77rsB+PrXv9785IqtttqKE088kZQS9957b9Xxio+ELP7fTJIkSVobbVt6ApJap+K9D4pfTqvZZJNNOPbYYzn22GNXa3v33Xd56qmnANhnn30q1m+66aacfvrpnH766au1TZ8+nVdeeaVmfTUvvPACAAMGDKjZb/vtt+fpp59m0qRJVfs88cQTq4QHDz74IF26dFmj+RRNmzaN73znOwwYMIDvf//7zccnTpxYcb7bb7/9Ku2VFP9vVO1+FZIkSVI9XIEgaa3svPPOQO0vrnl+85vfMH/+fNq2bcvxxx+/xvU33HADULjG/7Of/ewa1RbvmVDtCRFFb731FkDVQKA8PBg7duxahwdQWGEwf/58rr322uZHOZZavHhxxf2IqDheU1MTs2bNAmDgwIFrPS9JkiTJAEHSWhk8eDAA//jHP1iyZMka17/55pt861vfAuC0006jT58+a1T/wgsv8F//9V9A4UkHlb5s17LHHnsAMGPGDH73u99V7DN27NjmSySKN3QsVRoe7L333jz44IN07dp1jeZR6r777uOuu+7ixBNPZMiQIau0bbfddgA888wzqxwvruAotpdrbGxkxYoVtG3bdo1XaUiSJEmlDBAkrZV99tmHtm3b8u677/L3v/+9Yp8//OEP/Pd//zevvfYay5cvB2DhwoX8+te/5pOf/CRTp05lp5124vLLL69Yf/PNN3P99dczZcoUVqxYARTuuTBq1CgGDx7MggULGDx4MOedd17F+n79+hERHHDAAau1nXbaaXTs2BEo3Otg1KhRzJs3D4B58+ZxzTXX8MUvfhEorHAoPlmh6KmnnmoOD/bZZ5/3vPJgwYIFfO1rX6Nnz55cddVVq7V/7nOfA+DHP/4xEyZMIKXEXXfdxT333ENEcMQRR1Qc9+mnnwYKgcna3pNBkiRJAu+BIGktde3alc985jPce++9/O///i+f+MQnVuvz6quvcvbZZ/Of//mftG3bli5dujB37lwKN3eFT3ziE9x7771Vv3j/9a9/5b//+78BaNeuHZ06dWLu3LnN7Z/97Gf59a9/TZs2bdZ4/h/+8Ie54447OP7445k3bx7Dhw9n+PDhdO3alfnz5zf369mzJ/fccw89evRYpf673/0uTU1NQGE1RPFeBJVss802/N///V/N+Xz/+9/njTfe4MYbb6x4r4JTTz2VG264gcbGRnbddVc6dOjQfPnCOeecw0477VRx3P/93/8FWKtLRCRJkqRSrkCQtNaGDh0KwO23394cCpQaMmQIX//619ljjz3o3r07CxYsYKuttuIzn/kMt956K0888QS9e/euOv4Xv/hFzjzzTHbbbTc6d+7MokWL2GabbTjmmGO47777uO+++97Tr+pHHHEEEyZM4Fvf+hZ77LEHXbt2ZeHChXTr1o0999yT73//+7zwwgvst99+q9UWV0RAYVXEW2+9VfU1c+bMmvP461//ys9+9jMOOOCAqk+E2HTTTfnjH//I1772NT70oQ+xbNkydthhB6666iquuOKKijWTJk3iySefpEOHDpx00klr8JeRJEmSVheV/ke/3n8NDQ2psbGxpaeRa8J7uEGeNn4rVqzgMwcdxL/feINf/vrXNHz84y09JZW49mc/4xc/+QlHHXMMP7z00paejjZwu/Tv39JTkCRJG4CIeDal1FCpzRUIktbaJptswv87+2wAbhg1qoVno1KLFi3i9ptvZtNNN+WrX/96S09HkiRJGwEDBEnvyWFHHMFuu+/OY488wj+r3ExR69+vb7mFObNnc8JXvsLWa/iEC0mSJKkSb6Io6T2JCEb88Ic8/NBDzJkzp6Wno0yHDh346je+wX9UuaeCJEmStKYMECS9ZzvtvDM77bxzS09DJY73pomSJElax7yEQZIkSZIk5TJAkCRJkiRJuQwQJEmSJElSLgMESZIkSZKUywBBkiRJkiTlMkCQJEmSJEm5DBAkSZIkSVIuAwRJkiRJkpTLAEGSJEmSJOUyQJAkSZIkSbkMECRJkiRJUi4DBEmSJEmSlMsAQZIkSZIk5TJAkCRJkiRJuQwQJEmSJElSLgMESZIkSZKUywBBkiRJkiTlMkCQJEmSJEm5DBAkSZIkSVIuAwRJkiRJkpTLAEGSJEmSJOUyQJAkSZIkSbkMECRJkiRJUi4DBEmSJEmSlMsAQZIkSZIk5aorQIiItAavP9cYp3dEXBkRL0fE4oiYHRGPRcTpERF1zGNARIyOiEkR8U5EzIiIByPi6Do/xx4RcWtETImIJRHxZkTcHRGfqrP+wKz/m1n9lGy8PeqplyRJkiSptWpbZ7+3ctrbAT2z7f+r1CEiBgEPAptnhxYAXYB9s9exEXFkSmlJlfrDgd8AHbND87OxDgYOjoibgNNSSqlK/enAtaz8zPOA3sBRwFERcVFKaWS1DxgRI4ER2W7Kzt8HOAH4YkQMTyldX61ekiRJkqTWrK4VCCmlrWq9gB+XdL+hvD4iugG/p/CF/yVgz5RSF6AT8DVgKYUg4OpK54+I7YA7KYQHjwM7ppS6Ad2Ai7NupwDnVanfCxhFITy4B9gmpdQd6AWMzrqNiIjjqtQfx8rwYDTQK6vfJhuvLTAqO48kSZIkSRuddXUPhNOy9/EppZcrtJ8LbAUsBg5PKTUCpJTeTSn9gpVfzs+MiB0q1F9MIWyYDnw2pfRKVr8gpTQCGJP1+15E9KhQfxnQBngOOC6lNCWrfzulNIzCygiAyyKiTWlhtn9ZtvtgSmlYSuntrH4K8MVs3NJ+kiRJkiRtVN5zgBARewMDs91qS/hPyt7vSClNqtD+MwqXNLShcElA6fidgOI9Dq5NKc2tUH9J9t6VwiUJpfX9KVwiAXBFSmlpjfq+wOCytv2z47DqSgugEIIAV2a7+2bnkyRJkiRpo7IuViAUVx/Mp3CPglVExI7AttnuA5UGSCktAB7Ldg8ua94X6JBT/zrwYpX6ISXbYyvVA+OBppz6JgqXT1RSOq8hVfpIkiRJktRqvacAISI6A8X7BtyeUlpUoduuJdvP1xiu2LZzjfoJddTvUqV+RkppRqXClNJyCvdmqFX/YtavUv0MYGaVekmSJEmSWr33ugLhS0DnbLva5Qtbl2xPrTFWsa1rFkyU18+pElCU129ddnzrsvb1XS9JkiRJUqv3XgOE07P3f6SUnq3Sp0vJdq0AoLStS4XtWrWl7V3Kjrd0fbOIODMiGiOicebMmdW6SZIkSZK0wVnrACEidgE+ke1WW32gEimlMSmlhpRSQ69evVp6OpIkSZIk1e29rEAorj54B7itRr+mku2ONfqVtjVV2K5VW9reVHa8peslSZIkSWr11ipAiIhNgROz3btSSnNqdJ9Wst2nRr9i2/zsqQzl9T0iotaX+GL9tLLj08ra13e9JEmSJEmt3tquQPgcsEW2nXf5QumTF3at2mtl2ws16ms94aBYX/6khmL9lhFR8bqBiGgD7JRTPzDrV6l+S6A4dq0nRUiSJEmS1CqtbYBQvHzhX8AjtTqmlF4G3sh2D63UJyI6Aftlu+PKmscDi3Pq+wIDq9Q/VLJdsR7Yh5U3P6xW3wXYu0p96bgPVekjSZIkSVKrtcYBQkRsC3w6270xpZTqKLs5e/9SRPSr0H4WhcdBLqfsfgoppYXAXdnu8IjoVqH+W9l7E3BPWf1ECiEEwDcjol2F+m9n75OBR8vaHsmOl/Zrlo33zWx3fHY+SZIkSZI2KmuzAuHUrG4Z8Ms6a64AplO40eAfImIQFO6lEBHDgR9k/caklF6pUH8hsBD4EHBfRGyf1XeKiAuBYVm/H1a5H8P5FMKJ3YE7IqJPVt8zIq4BDiv2SyktLy3M9s/Pdg+PiGsiomdW3we4A/hoNv75SJIkSZK0EWq7Jp0jYhPg5Gz3/pTSm/XUpZTmRcRngQeBnYHGiGgC2gPFFQHjgLOr1E+KiOOA31C41OGViJhHYdVC8b4EvwQur1L/ZEQMA64FvgB8ISLmAt2AyLpdlFK6s0r9nRGxMzACGA4My87fPeuyDBieUnoy508hSZIkSVKrtKYrED4N9M22826euIqU0rMUboJ4NfAqheBgIYXLC84ADkspLalRfz+FX/qvA14HOgBzKdxz4JiU0im1LqdIKV0PfAK4HZhKYTXEDAqXPByUUhqZM/+RwEFZ/xlZ/dRsvE9m40uSJEmStFGK+m5hoHWtoaEhNTY2tvQ0ck2Y6C0dJOmDYJf+/Vt6CpIkaQMQEc+mlBoqta3tUxgkSZIkSdIHiAGCJEmSJEnKZYAgSZIkSZJyGSBIkiRJkqRcBgiSJEmSJCmXAYIkSZIkScplgCBJkiRJknIZIEiSJEmSpFwGCJIkSZIkKZcBgiRJkiRJymWAIEmSJEmSchkgSJIkSZKkXAYIkiRJkiQplwGCJEmSJEnKZYAgSZIkSZJyGSBIkiRJkqRcBgiSJEmSJCmXAYIkSZIkScplgCBJkiRJknIZIEiSJEmSpFwGCJIkSZIkKZcBgiRJkiRJymWAIEmSJEmSchkgSJIkSZKkXAYIkiRJkiQplwGCJEmSJEnKZYAgSZIkSZJyGSBIkiRJkqRcBgiSJEmSJCmXAYIkSZIkScplgCBJkiRJknIZIEiSJEmSpFwGCJIkSZIkKZcBgiRJkiRJymWAIEmSJEmSchkgSJIkSZKkXAYIkiRJkiQplwGCJEmSJEnKZYAgSZIkSZJyGSBIkiRJkqRcBgiSJEmSJCmXAYIkSZIkScplgCBJkiRJknIZIEiSJEmSpFwGCJIkSZIkKZcBgiRJkiRJymWAIEmSJEmSchkgSJIkSZKkXAYIkiRJkiQplwGCJEmSJEnKZYAgSZIkSZJyGSBIkiRJkqRcBgiSJEmSJCmXAYIkSZIkScplgCBJkiRJknIZIEiSJEmSpFwGCJIkSZIkKZcBgiRJkiRJyrVWAUJEdI2Ib0XEExExMyKWRMSUiPhzRIyMiO5V6npHxJUR8XJELI6I2RHxWEScHhFRx3kHRMToiJgUEe9ExIyIeDAijq5z3ntExK3ZXJdExJsRcXdEfKrO+gOz/m+WfOZbI2KPeuolSZIkSWqtIqW0ZgURBwK/Bnpnh5YBC4DuJd0+llL6e1ndIOBBYPPs0AKgPdA22x8HHJlSWlLlvIcDvwE6ZofmA51ZGYLcBJyWqnygiDgduLbkfPOArkAxuLgopTSyUm1WPxIYke2m7Pzdsv1lwPCU0vXV6ss1NDSkxsbGeru3mAkTJ7b0FCRJ68Eu/fu39BQkSdIGICKeTSk1VGpboxUIEbEP8AcK4cEfgX2BzVJKPSh8sW8AfkThy3lpXTfg9xTCg5eAPVNKXYBOwNeApcDBwNVVzrsdcGd2jseBHVNK3Sh8gb8463YKcF6V+r2AURTCg3uAbVJK3YFewOis24iIOK5K/XGsDA9GA72y+m2y8doCo7LzSJIkSZK00al7BUJEdASeA/oDdwHHpZRW1Fn7A+ACYDGwS0ppUln7d4AfA8uBnVNKr5S13wKcCEwHBqaU5pa1jwbOpLAqoF9KaU5Z+2MUwo7ngEEppaVl7WOBQ4DJwICU0vKStjbAa0Bf4MGU0qFltZsCjcBuwPiU0n71/E1cgSBJ2pC4AkGSJMG6W4HwHxTCg8XAsHrDg8xJ2fsd5eFB5mcULmloA5xQ2hARnYDiPQ6uLQ8PMpdk712Bo8rq+1MIDwCuKA8Pyur7AoPL2vbPjkMh5FhFSuld4Mpsd9/sfJIkSZIkbVTWJEAohgD3ppRm1VsUETsC22a7D1Tqk1JaADyW7R5c1rwv0CGn/nXgxSr1Q0q2x1aZ5nigKae+icLlE5WUzmtIlT6SJEmSJLVadQUIEbEZhfsbADwSEf0j4oaSpxlMj4h7I+KwCuW7lmw/X+M0xbada9RPqKN+lyr1M1JKMyoVZpcsvJRT/2LppQ1l9TOAmVXqJUmSJElq9epdgdAP2DTb/jDwT+BUCjchXEThpopHAvdHxLVltVuXbE+tcY5iW9eI6Fyhfk5KaVEd9VuXHd+6rH1910uSJEmS1OrVGyD0KNn+DoWnJnwZ6Jw9gWFb4I6sfVhEfKOkf5eS7VoBQGlblwrbtWpL27uUHW/p+mYRcWZENEZE48yZM6t1kyRJkiRpg1NvgLBJ2fawlNIdxRsSppT+TeHmh3/L+lwQEW3X3TQ3DimlMSmlhpRSQ69evVp6OpIkSZIk1a3eAKGpZPvfKaX/Ke+QPZWh+DSCLYBBFWo71jhHaVtThe1ataXtTWXHW7pekiRJkqRWr94AofT6/5eq9lr5JARY+ejDaSXH+tSoLbbNz57KUFSs7xERtb7EF+unlR2fVta+vuslSZIkSWr16goQUkqzWRkipBpdo7Qsey998kLpExXKFdteKDteWl/rCQfF+vInNRTrt4yIitcNREQbYKec+oFZv0r1W1K4oWSlekmSJEmSWr16VyAAjMveB0ZEVOkzsGR7EkBK6WXgjezYoZWKIqITsF/ZeYrGA4tz6vuWnLu8/qGS7Yr1wD6svPlhtfouwN5V6kvHfahKH0mSJEmSWq01CRBuyt63Ab5Y3hgRmwDnZLtTgb+WNN+cvX8pIvpVGPssoDOwHLittCGltBC4K9sdHhHdKtR/K3tvAu4pq59IIYQA+GZEtKtQ/+3sfTLwaFnbI9nx0n7NsvG+me2Oz84nSZIkSdJGpe4AIaX0GPDbbPfaiPhi8ct4RGxD4Yv/x7L272U3VSy6AphO4UaDf4iIQVndphExHPhB1m9MSumVCqe/EFgIfAi4LyK2z+o7RcSFwLCs3w9TSnMq1J9PIZzYHbgjIvpk9T0j4hrgsGK/lNLyss+9PKsHODwiromInll9HwqPr/xoNv75SJIkSZK0EYqUat3SoKxz4VKD+4HB2aElwCKgR0m3i1NKIyrUDgIeBDbPDjUB7YHiioBxwJEppSVVzn048BtWPu1gHoVVC8X7EvwSODVV+UARcTpwLVB8vORcoBsr79twUUppZKXarH4kUPxcKTt/92x/GTA8pXR9tfpyDQ0NqbGxsd7uLWbCRBdUSNIHwS79+7f0FCRJ0gYgIp5NKTVUaluTSxiKlxMcCJxBYan/Qgpf4qdS+CV+n0rhQVb7LIWbIF4NvEohOFhI4fKCM4DDqoUHWf39FH7pvw54HehAIQR4CDgmpXRKtfAgq78e+ARwezbfjsAMCpc8HFQrPMjqRwIHZf1nZPVTs/E+uSbhgSRJkiRJrc0arUDQuuMKBEnShsQVCJIkCdbhCgRJkiRJkvTBZIAgSZIkSZJyGSBIkiRJkqRcBgiSJEmSJCmXAYIkSZIkScplgCBJkiRJknIZIEiSJEmSpFwGCJIkSZIkKZcBgiRJkiRJymWAIEmSJEmSchkgSJIkSZKkXAYIkiRJkiQplwGCJEmSJEnKZYAgSZIkSZJyGSBIkiRJkqRcBgiSJEmSJCmXAYIkSZIkScplgCBJkiRJknIZIEiSJEmSpFwGCJIkSZIkKZcBgiRJkiRJymWAIEmSJEmSchkgSJIkSZKkXAYIkiRJkiQplwGCJEmSJEnKZYAgSZIkSZJyGSBIkiRJkqRcBgiSJEmSJCmXAYIkSZIkScplgCBJkiRJknIZIEiSJEmSpFwGCJIkSZIkKZcBgiRJkiRJymWAIEmSJEmSchkgSJIkSZKkXAYIkiRJkiQplwGCJEmSJEnKZYAgSZIkSZJyGSBIkiRJkqRcBgiSJEmSJCmXAYIkSZIkScplgCBJkiRJknIZIEiSJEmSpFwGCJIkSZIkKZcBgiRJkiRJymWAIEmSJEmSchkgSJIkSZKkXAYIkiRJkiQplwGCJEmSJEnKZYAgSZIkSZJyGSBIkiRJkqRcBgiSJEmSJCmXAYIkSZIkScplgCBJkiRJknIZIEiSJEmSpFwGCJIkSZIkKZcBgiRJkiRJylV3gBARJ0dEquP16Rpj9I6IKyPi5YhYHBGzI+KxiDg9IqKOOQyIiNERMSki3omIGRHxYEQcXedn2CMibo2IKRGxJCLejIi7I+JTddYfmPV/M6ufko23Rz31kiRJkiS1VmuzAmEF8FaN15JKRRExCJgAnAPsACwDugD7AtcBYyNis2onjYjDgX8CZwL9svNsDhwM/DYibqwVQkTE6cDTwAlAH2Ax0Bs4Cng4IkbW+tBZ+5+y/r2z+j7ZeE9n40uSJEmStFFamwDh3ymlrWq8HisviIhuwO8pfOF/CdgzpdQF6AR8DVhKIQi4utIJI2I74E6gI/A4sGNKqRvQDbg463YKcF6V+r2AUUBb4B5gm5RSd6AXMDrrNiIijqtSfxwwItsdDfTK6rfJxmsLjMrOI0mSJEnSRmd93QPhXGArCr/aH55SagRIKb2bUvoFK7+cnxkRO1Sov5hC2DAd+GxK6ZWsfkFKaQQwJuv3vYjoUaH+MqAN8BxwXEppSlb/dkppGPBgsV9EtCktzPYvy3YfTCkNSym9ndVPAb6YjVvaT5IkSZKkjcr6ChBOyt7vSClNqtD+M2ABhS/hJ5Q2REQnoHiPg2tTSnMr1F+SvXelcIlBaX1/CpdJAFyRUlpao74vMLisbf/sOMCPywtTSu8CV2a7+2bnkyRJkiRpo/K+BwgRsSOwbbb7QKU+KaUFQPHSh4PLmvcFOuTUvw68WKV+SMn22CrTHA805dQ3Ubh8opLSeQ2p0keSJEmSpFZrbQKEXhHxbEQsyJ6kMDF7EsEBVfrvWrL9fI1xi20716ifUEf9LlXqZ6SUZlQqTCktp3Bvhlr1L2b9KtXPAGZWqZckSZIkqdVbmwChI7AH8G5Wvx2Fyw7+nD0JoW1Z/61LtqfWGLfY1jUiOleon5NSWlRH/dZlx7cua1/f9ZIkSZIktXprEiBMAy4Cdgfap5R6UggT9gH+mPU5hdWfpNClZLtWAFDa1qXCdq3a0vYuZcdbur5ZRJwZEY0R0Thz5sxq3SRJkiRJ2uDUHSCklMallEamlP6ZUlqSHVueUnoCOAS4N+v61YjY/n2Ya6uXUhqTUmpIKTX06tWrpacjSZIkSVLd1slNFFNKKyg8qrE45hElzU0l2x1rDFPa1lRhu1ZtaXtT2fGWrpckSZIkqdVbZ09hSCn9C5iV7ZY+ynBayXafGkMU2+ZnT2Uor+8REbW+xBfrp5Udn1bWvr7rJUmSJElq9d73xziy6pMXdq3aa2XbCzXqaz3hoFhf/qSGYv2WEVHxuoGIaAPslFM/MOtXqX5LoDh2rSdFSJIkSZLUKq2zACEiBgBbZLuTisdTSi8Db2S7h1ap7QTsl+2OK2seDyzOqe8LDKxS/1DJdsV6CjeCLN78sFp9F2DvKvWl4z5UpY8kSZIkSa1WXQFCREQd7ZdnuyuA35d1uTl7/1JE9KswxFlAZ2A5cFtpQ0ppIXBXtjs8IrpVqP9W9t4E3FNWP5FCCAHwzYhoV6H+29n7ZODRsrZHsuOl/Zpl430z2x2fnU+SJEmSpI1KvSsQ+kbEMxExNCL6FwOFiNgkIj4JPAB8Pus7Olt1UOoKYDqFGw3+ISIGZfWbRsRw4AdZvzEppVcqnP9CYCHwIeC+4lMeIqJTRFwIDMv6/TClNKdC/fkUwondgTsiok9W3zMirgEOK/ZLKS0vLcz2z892D4+IayKiZ1bfB7gD+Gg2/vlIkiRJkrQRipRSfqfCqoFJJYeWUPi1vwuwWcnxm4AzU0rLKowxCHgQ2Dw71AS0B4orAsYBRxYfEVmh/nDgN6x82sE8CqsWivcl+CVwaqrygSLidOBaoG12aC7QDSiurrgopTSyUm1WPxIYke2m7Pzds/1lwPCU0vXV6ss1NDSkxsbGeru3mAkTXVAhSR8Eu/Tvn99JkiRt9CLi2ZRSQ6W2elcgvAX8P+B2Cjc5nE/hy/NS4CXgRmDflNKplcIDgJTSsxRugng18CqF4GAhhcsLzgAOqxYeZPX3U/il/zrgdaADhRDgIeCYlNIp1cKDrP564BPZZ5hKIYiYQeGSh4NqhQdZ/UjgoKz/jKx+ajbeJ9ckPJAkSZIkqbWpawWC1j1XIEiSNiSuQJAkSbBuViBIkiRJkqQPMAMESZIkSZKUywBBkiRJkiTlMkCQJEmSJEm5DBAkSZIkSVIuAwRJkiRJkpTLAEGSJEmSJOUyQJAkSZIkSbkMECRJkiRJUi4DBEmSJEmSlMsAQZIkSZIk5TJAkCRJkiRJuQwQJEmSJElSLgMESZIkSZKUywBBkiRJkiTlMkCQJEmSJEm5DBAkSZIkSVIuAwRJkiRJkpTLAEGSJEmSJOUyQJAkSZIkSbkMECRJkiRJUi4DBEmSJEmSlMsAQZIkSZIk5TJAkCRJkiRJuQwQJEmSJElSLgMESZIkSZKUywBBkiRJkiTlMkCQJEmSJEm5DBAkSZIkSVIuAwRJkiRJkpTLAEGSJEmSJOUyQJAkSZIkSbkMECRJkiRJUi4DBEmSJEmSlMsAQZIkSZIk5TJAkCRJkiRJuQwQJEmSJElSLgMESZIkSZKUywBBkiRJkiTlMkCQJEmSJEm5DBAkSZIkSVIuAwRJkiRJkpTLAEGSJEmSJOUyQJAkSZIkSbkMECRJkiRJUi4DBEmSJEmSlMsAQZIkSZIk5TJAkCRJkiRJuQwQJEmSJElSLgMESZIkSZKUywBBkiRJkiTlMkCQJEmSJEm5DBAkSZIkSVIuAwRJkiRJkpTLAEGSJEmSJOUyQJAkSZIkSbkMECRJkiRJUq73FCBExLcjIhVfOX17R8SVEfFyRCyOiNkR8VhEnB4RUce5BkTE6IiYFBHvRMSMiHgwIo6uc657RMStETElIpZExJsRcXdEfKrO+gOz/m9m9VOy8faop16SJEmSpNZsrQOEiNgRGFFn30HABOAcYAdgGdAF2Be4DhgbEZvVqD8c+CdwJtAPWAJsDhwM/DYibqwVQkTE6cDTwAlAH2Ax0Bs4Cng4IkbmzH8k8Kesf++svk823tPZ+JIkSZIkbbTWKkCIiE2AG4D2wJM5fbsBv6fwhf8lYM+UUhegE/A1YCmFIODqKvXbAXcCHYHHgR1TSt2AbsDFWbdTgPOq1O8FjALaAvcA26SUugO9gNFZtxERcVyV+uNYGZSMBnpl9dtk47UFRmXnkSRJkiRpo7S2KxD+H7APcBswLqfvucBWFH61Pzyl1AiQUno3pfQLVn45PzMidqhQfzGFsGE68NmU0itZ/YKU0ghgTNbvexHRo0L9ZUAb4DnguJTSlKz+7ZTSMODBYr+IaFNamO1flu0+mFIallJ6O6ufAnwxG7e0nyRJkiRJG501DhCyFQE/At4Gzq6j5KTs/Y6U0qQK7T8DFlD4En5C2bk6AcV7HFybUppbof6S7L0rhUsMSuv7U7hMAuCKlNLSGvV9gcFlbftnxwF+XF6YUnoXuDLb3Tc7nyRJkiRJG521WYFwHYUVAeeklGbW6pjdJ2HbbPeBSn1SSguAx7Ldg8ua9wU65NS/DrxYpX5IyfbYKtMcDzTl1DdRuHyiktJ5DanSR5IkSZKkVm2NAoSIOAM4CPhjSunmOkp2Ldl+vka/YtvONeon1FG/S5X6GSmlGZUKU0rLKdyboVb9i1m/SvUzgGKQUl4vSZIkSdJGoe4AISL6AJdTuJfB0DrLti7ZnlqjX7Gta0R0rlA/J6W0qI76rcuOb13Wvr7rJUmSJEnaKKzJCoTRFJ58MDKlNLHOmi4l27UCgNK2LhW2a9WWtncpO97S9auIiDMjojEiGmfOrHn1hyRJkiRJG5S6AoSIOBH4DPB34Kr3c0Ibs5TSmJRSQ0qpoVevXi09HUmSJEmS6pYbIETElsBPgOXAGSmlZWswflPJdsca/Urbmips16otbW8qO97S9ZIkSZIkbRTqWYFwKbA5MAZ4KSI6l76ATYsdS44Xj00rGadPjXMU2+ZnT2UoKtb3iIhaX+KL9dPKjk8ra1/f9ZIkSZIkbRTqCRC2y96HU/iFvfz1nZK+xWOXZfulT14ofaJCuWLbC2XHS+trPeGgWF/+pIZi/ZYRUfGagYhoA+yUUz8w61epfkugOHatJ0VIkiRJktRqrdFjHNdUSull4I1s99BKfSKiE7BftjuurHk8hac+1KrvCwysUv9QyXbFemAfVt78sFp9F2DvKvWl4z5UpY8kSZIkSa1aboCQUjogpRTVXsBFJX2Lx/+zZIibs/cvRUS/Cqc4C+hM4R4Lt5WdeyFwV7Y7PCK6Vaj/VvbeBNxTVj+RQggB8M2IaFeh/tvZ+2Tg0bK2R7Ljpf2aZeN9M9sdvwZPp5AkSZIkqVV5X1cgZK4AplO40eAfImIQQERsGhHDgR9k/caklF6pUH8hsBD4EHBfRGyf1XeKiAuBYVm/H6aU5lSoP59COLE7cEdE9Mnqe0bENcBhxX4ppeWlhdn++dnu4RFxTUT0zOr7AHcAH83GPx9JkiRJkjZSbd/vE6SU5kXEZ4EHgZ2BxohoAtoDxRUB44Czq9RPiojjgN9QuNThlYiYR2HVQvG+BL8ELq9S/2REDAOuBb4AfCEi5gLdgMi6XZRSurNK/Z0RsTMwgsJ9IIZl5++edVkGDE8pPZnzp5AkSZIkqdVaHysQSCk9S+EmiFcDr1IIDhZSuLzgDOCwlNKSGvX3U/il/zrgdaADMJfCPQeOSSmdklJKNeqvBz4B3A5MpbAaYgaFSx4OSimNzJn/SOCgrP+MrH5qNt4ns/ElSZIkSdpoRY3v3XofNTQ0pMbGxpaeRq4JE72tgyR9EOzSv39LT0GSJG0AIuLZlFJDpbb1sgJBkiRJkiS1bgYIkiRJkiQplwGCJEmSJEnKZYAgSZIkSZJyGSBIkiRJkqRcBgiSJEmSJCmXAYIkSZIkScplgCBJkiRJknIZIEiSJEmSpFwGCJIkSZIkKZcBgiRJkiRJymWAIEmSJEmSchkgSJIkSZKkXAYIkiRJkiQplwGCJEmSJEnKZYAgSZIkSZJyGSBIkiRJkqRcBgiSJEmSJCmXAYIkSZIkScplgCBJkiRJknIZIEiSJEmSpFwGCJIkSZIkKZcBgiRJkiRJymWAIEmSJEmSchkgSJIkSZKkXAYIkiRJkiQplwGCJEmSJEnKZYAgSZIkSZJyGSBIkiRJkqRcBgiSJEmSJCmXAYIkSZIkScplgCBJkiRJknIZIEiSJEmSpFwGCJIkSZIkKZcBgiRJkiRJymWAIEmSJEmSchkgSJIkSZKkXAYIkiRJkiQplwGCJEmSJEnKZYAgSZIkSZJyGSBIkiRJkqRcBgiSJEmSJCmXAYIkSZIkScplgCBJkiRJknIZIEiSJEmSpFwGCJIkSZIkKZcBgiRJkiRJymWAIEmSJEmSchkgSJIkSZKkXAYIkiRJkiQplwGCJEmSJEnKZYAgSZIkSZJyGSBIkiRJkqRcBgiSJEmSJCmXAYIkSZIkScplgCBJkiRJknIZIEiSJEmSpFwGCJIkSZIkKVfdAUJE7BERIyLifyPipYh4OyKWZu+PR8T3IqJnzhi9I+LKiHg5IhZHxOyIeCwiTo+IqGMOAyJidERMioh3ImJGRDwYEUevwWe4NSKmRMSSiHgzIu6OiE/VWX9g1v/NrH5KNt4e9dRLkiRJktRaRUqpvo4RPwfOKjn0DrAU6FJybBZwZErpyQr1g4AHgc2zQwuA9kDbbH9cVrukyvkPB34DdMwOzQc6szIEuQk4LVX5QBFxOnBtyfnmAV2BYnBxUUppZKXarH4kMCLbTdn5u2X7y4DhKaXrq9WXa2hoSI2NjfV2bzETJk5s6SlIktaDXfr3b+kpSJKkDUBEPJtSaqjUtiaXMDwDnAfsBfRIKXVIKXWlECCcDMwEtgDuiYhupYXZ/u8phAcvAXumlLoAnYCvUQgiDgaurvIBtgPupBAePA7smFLqRuEL/MVZt1Oy+VWq3wsYRSE8uAfYJqXUHegFjM66jYiI46rUH8fK8GA00Cur3yYbry0wKjuPJEmSJEkbnbpXIOQOFHEwhRUGACemlG4rafsBcAGwGNglpTSprPY7wI+B5cDOKaVXytpvAU4EpgMDU0pzy9pHA2dSWBXQL6U0p6z9MWBf4DlgUEppaVn7WOAQYDIwIKW0vKStDfAa0Bd4MKV0aFntpkAjsBswPqW0X40/UzNXIEiSNiSuQJAkSbDuViDkeapk+8NlbSdl73eUhweZn1G4pKENcEJpQ0R0Aor3OLi2PDzIXJK9dwWOKqvvTyE8ALiiPDwoq+8LDC5r2z87DoWQYxUppXeBK7PdfbPzSZIkSZK0UVmXAULpL++vFTciYkdg22z3gUqFKaUFwGPZ7sFlzfsCHXLqXwderFI/pGR7bKV6YDzQlFPfROHyiUpK5zWkSh9JkiRJklqt9xQgRMRmEdEvIr4G3JId/hdwX0m3XUu2n68xXLFt57LjpfUT6qjfpUr9jJTSjEqF2SULL+XUv1h6aUNZ/QwK94CoVC9JkiRJUqvXNr/L6iLiHWCzCk2PA8eXPUlh65LtqTWGLbZ1jYjO2aqE0vo5KaVFddRvXXZ867L2WvV7vsf6XhXqJUmSJElq9dZ2BcJ04C1gYcmxPwP/mVJ6o6xv6WMeawUApW1dKmzXqi1t71J2vKXrm0XEmRHRGBGNM2fOrNZNkiRJkqQNzloFCCmlfimlrVJKnYHewLnA/wc8ExEX1yz+AEspjUkpNaSUGnr16tXS05EkSZIkqW7v+SaKKaUZKaUrgUOBBHw/Ij5b0qWpZLtjjaFK25oqbNeqLW1vKjve0vWSJEmSJLV66+wpDCmlZyg8zQDgzJKmaSXbfWoMUWybX3L/g9L6HhFR60t8sX5a2fFpZe3ru16SJEmSpFZvXT7GEVbeaPAjJcdKn7xQ+kSFcsW2F8qOl9bXesJBsb78SQ3F+i0jouJ1AxHRBtgpp35g1q9S/ZYUbqBYqV6SJEmSpFZvXQcI/bP35mX8KaWXgeKNFQ+tVBQRnYD9st1xZc3jgcU59X2BgVXqHyrZrlgP7MPKmx9Wq+8C7F2lvnTch6r0kSRJkiSp1aorQIiINhEROX0OAj6e7f6lrPnm7P1LEdGvQvlZQGdgOXBbaUNKaSFwV7Y7PCK6Vaj/VvbeBNxTVj+RlZdWfDMi2lWo/3b2Phl4tKztkex4ab9m2XjfzHbHZ+eTJEmSJGmjUu8KhG2Av0XE0IjoXxomRMQ2EfFt4F4ggNnA1WX1V1B49GNH4A8RMSir3TQihgM/yPqNSSm9UuH8F1J4ZOSHgPsiYvusvlNEXAgMy/r9MKU0p0L9+RTCid2BOyKiT1bfMyKuAQ4r9kspLS8tzPbPz3YPj4hrIqJnVt8HuAP4aDb++UiSJEmStBGKlFJ+p8KqgUklh94F5gMdgE4lxycBR6eU/lZhjEHAg8Dm2aEmoD1QXBEwDjgypbSkyhwOB37DyqcdzKOwaqF4X4JfAqemKh8oIk4HrgXaZofmAt0ohB4AF6WURlaqzepHAiOy3ZSdv3u2vwwYnlK6vlp9uYaGhtTY2Fhv9xYzYaILKiTpg2CX/v3zO0mSpI1eRDybUmqo1FbvCoRpwHHANcCzwCyga1b/BnAfcDqwS6XwACCl9CyFmyBeDbxKIThYSOHygjOAw6qFB1n9/RR+6b8OeJ1CeDGXwj0HjkkpnVItPMjqrwc+AdxO4WaPHYEZFC55OKhWeJDVjwQOyvrPyOqnZuN9ck3CA0mSJEmSWpu6ViBo3XMFgiRpQ+IKBEmSBOtmBYIkSZIkSfoAM0CQJEmSJEm5DBAkSZIkSVIuAwRJkiRJkpTLAEGSJEmSJOUyQJAkSZIkSbkMECRJkiRJUi4DBEmSJEmSlMsAQZIkSZIk5TJAkCRJkiRJuQwQJEmSJElSLgMESZIkSZKUywBBkiRJkiTlMkCQJEmSJEm5DBAkSZIkSVIuAwRJkiRJkpTLAEGSJEmSJOUyQJAkSZIkSbkMECRJkiRJUi4DBEmSJEmSlMsAQZIkSZIk5TJAkCRJkiRJuQwQJEmSJElSLgMESZIkSZKUywBBkiRJkiTlMkCQJEmSJEm5DBAkSZIkSVIuAwRJkiRJkpTLAEGSJEmSJOUyQJAkSZIkSbkMECRJkiRJUi4DBEmSJEmSlMsAQZIkSZIk5TJAkCRJkiRJuQwQJEmSJElSLgMESZIkSZKUywBBkiRJkiTlMkCQJEmSJEm5DBAkSZIkSVIuAwRJkiRJkpTLAEGSJEmSJOUyQJAkSZIkSbkMECRJkiRJUi4DBEmSJEmSlMsAQZIkSZIk5TJAkCRJkiRJuQwQJEmSJElSLgMESZIkSZKUywBBkiRJkiTlMkCQJEmSJEm5DBAkSZIkSVIuAwRJkiRJkpTLAEGSJEmSJOUyQJAkSZIkSbkMECRJkiRJUi4DBEmSJEmSlMsAQZIkSZIk5ao7QIiIzSPilIi4NSJeiIiFEbEkIqZExD0R8fk6xugdEVdGxMsRsTgiZkfEYxFxekREHfUDImJ0REyKiHciYkZEPBgRR9f5GfbI5j8lm/ubEXF3RHyqzvoDs/5vlnz2WyNij3rqJUmSJElqrSKlVF/HiKVA25JD7wDLgU4lxx4AjkkpLapQPwh4ENg8O7QAaF8y5jjgyJTSkirnPxz4DdAxOzQf6MzKEOQm4LRU5QNFxOnAtSXnmwd0BYrBxUUppZGVarP6kcCIbDdl5++W7S8DhqeUrq9WX66hoSE1NjbW273FTJg4saWnIElaD3bp37+lpyBJkjYAEfFsSqmhUtuaXMLQFngG+CowIKXUIaXUGdgOuCHrcxgwusIEugG/pxAevATsmVLqQiF8+BqwFDgYuLrKB9gOuJNCePA4sGNKqRuFL/AXZ91OAc6rUr8XMCr7DPcA26SUugO9SuY7IiKOq1J/HCvDg9FAr6x+m2y8tsCo7DySJEmSJG101mQFwoEppT/XaB8FDM12t00p/buk7QfABcBiYJeU0qSy2u8AP6awomHnlNIrZe23ACcC04GBKaW5Ze2jgTMprArol1KaU9b+GLAv8BwwKKW0tKx9LHAIMJlCOLK8pK0N8BrQF3gwpXRoWe2mQCOwGzA+pbRftb9RKVcgSJI2JK5AkCRJsI5WINQKDzI3lGyXn+yk7P2O8vAg8zMKlzS0AU4obYiITkDxHgfXlocHmUuy967AUWX1/SmEBwBXlIcHZfV9gcFlbftnx6EQcqwipfQucGW2u292PkmSJEmSNirr8ikM75RstyluRMSOwLbZ7gOVClNKC4DHst2Dy5r3BTrk1L8OvFilfkjJ9thK9cB4oCmnvonC5ROVlM5rSJU+kiRJkiS1WusyQDigZPu5ku1dS7afr1FfbNu57Hhp/YQ66nepUj8jpTSjUmF2ycJLOfUvll7aUFY/A5hZpV6SJEmSpFZvnQQIEdEd+E62+1hK6eWS5q1LtqfWGKbY1jUiOleon1Pp6Q4V6rcuO751Wfv6rpckSZIkqdV7zwFCRGwC3AJ8CFgC/L+yLl1KtmsFAKVtXSps16otbe9Sdryl65tFxJkR0RgRjTNnzqzWTZIkSZKkDc66WIHw38Bns+2vppT+sQ7G3CillMaklBpSSg29evVq6elIkiRJklS39xQgRMQVwNey3bNTSjdW6NZUst2xxnClbU0VtmvVlrY3lR1v6XpJkiRJklq9tQ4QIuIy4JvZ7nkppZ9U6TqtZLtPjSGLbfOzpzKU1/eIiFpf4ov108qOTytrX9/1kiRJkiS1emsVIETE5cB52e75KaUranQvffLCrlV7rWx7oUZ9rSccFOvLn9RQrN8yIipeNxARbYCdcuoHZv0q1W8JFMeu9aQISZIkSZJapTUOELLLFs7Nds9PKV1eq3/2RIY3st1Dq4zZCdgv2x1X1jweWJxT3xcYWKX+oZLtivXAPqy8+WG1+i7A3lXqS8d9qEofSZIkSZJarTUKELLwoHjZwrl54UGJm7P3L0VEvwrtZwGdgeXAbaUNKaWFwF3Z7vCI6Fah/lvZexNwT1n9RAohBMA3I6JdhfpvZ++TgUfL2h7Jjpf2a5aNV/ybjM/OJ0mSJEnSRqXuACEiLmXlF+VzUkpXrsF5rgCmU7jR4B8iYlA25qYRMRz4QdZvTErplQr1FwILKTwq8r6I2D6r7xQRFwLDsn4/TCnNqVB/PoVwYnfgjojok9X3jIhrgMOK/VJKy0sLs/3zs93DI+KaiOiZ1fcB7gA+mo1/PpIkSZIkbYQipZTfKWJbVv4KvwKYmVNyRfl9EbLQ4EFg8+xQE9AeKK4IGAccmVJaUmUOhwO/YeXTDuZRWLVQvC/BL4FTU5UPFBGnA9cCbbNDc4FuQGT7F6WURlb7QBExEhiR7abs/N2z/WXA8JTS9dXqyzU0NKTGxsZ6u7eYCRNdUCFJHwS79O/f0lOQJEkbgIh4NqXUUKmt3hUIm5Rt9855dS4fIKX0LIWbIF4NvEohOFhI4fKCM4DDqoUHWf39FH7pvw54HehAIQR4CDgmpXRKtfAgq78e+ARwOzCVQhAxg8IlDwfVCg+y+pHAQVn/GVn91Gy8T65JeCBJkiRJUmtT1woErXuuQJAkbUhcgSBJkmDdrECQJEmSJEkfYAYIkiRJkiQplwGCJEmSJEnKZYAgSZIkSZJyGSBIkiRJkqRcBgiSJEmSJCmXAYIkSZIkScplgCBJkiRJknIZIEiSJEmSpFwGCJIkSZIkKZcBgiRJkiRJymWAIEmSJEmSchkgSJIkSZKkXAYIkiRJkiQplwGCJEmSJEnKZYAgSZIkSZJyGSBIkiRJkqRcBgiSJEmSJCmXAYIkSZIkScplgCBJkiRJknIZIEiSJEmSpFwGCJIkSZIkKZcBgiRJkiRJymWAIEmSJEmSchkgSJIkSZKkXAYIkiRJkiQplwGCJEmSJEnKZYAgSZIkSZJyGSBIkiRJkqRcBgiSJEmSJCmXAYIkSZIkScplgCBJkiRJknIZIEiSJEmSpFwGCJIkSZIkKZcBgiRJkiRJymWAIEmSJEmSchkgSJIkSZKkXAYIkiRJkiQplwGCJEmSJEnKZYAgSZIkSZJyGSBIkiRJkqRcBgiSJEmSJCmXAYIkSZIkScplgCBJkiRJknIZIEiSJEmSpFwGCJIkSZIkKZcBgiRJkiRJymWAIEmSJEmSchkgSJIkSZKkXAYIkiRJkiQplwGCJEmSJEnKZYAgSZIkSZJyGSBIkiRJkqRcBgiSJEmSJCmXAYIkSZIkScplgCBJkiRJknIZIEiSJEmSpFx1BwgR0TEiDouICyLidxExOSJS9hpZ5xi9I+LKiHg5IhZHxOyIeCwiTo+IqKN+QESMjohJEfFORMyIiAcj4ug6z79HRNwaEVMiYklEvBkRd0fEp+qsPzDr/2ZWPyUbb4966iVJkiRJaq3arkHfjwP3r+2JImIQ8CCweXZoAdAF2Dd7HRsRR6aUllSpPxz4DdAxOzQ/G+tg4OCIuAk4LaWUqtSfDlzLys88D+gNHAUcFREXpZRG1pj/SGBEtpuy8/cBTgC+GBHDU0rX1/gTSJIkSZLUaq3pJQxzgIeBy4EvA9PrKYqIbsDvKXzhfwnYM6XUBegEfA1YSiEIuLpK/XbAnRTCg8eBHVNK3YBuwMVZt1OA86rU7wWMohAe3ANsk1LqDvQCRmfdRkTEcVXqj2NleDAa6JXVb5ON1xYYlZ1HkiRJkqSNzpoECI+llHqmlD6dUjo/pXQHUHG1QAXnAlsBi4HDU0qNACmld1NKv2Dll/MzI2KHCvUXUwgbpgOfTSm9ktUvSCmNAMZk/b4XET0q1F8GtAGeA45LKU3J6t9OKQ2jsDIC4LKIaFNamO1flu0+mFIallJ6O6ufAnwxG7e0nyRJkiRJG5W6A4SU0vL3cJ6Tsvc7UkqTKrT/jMIlDW0oXBLQLCI6AcV7HFybUppbof6S7L0rhUsSSuv7U7hEAuCKlNLSGvV9gcFlbftnxwF+XF6YUnoXuDLb3Tc7nyRJkiRJG5X3/SkMEbEjsG22+0ClPimlBcBj2e7BZc37Ah1y6l8HXqxSP6Rke2yVaY4HmnLqmyhcPlFJ6byGVOkjSZIkSVKrtT4e47hryfbzNfoV23auUT+hjvpdqtTPSCnNqFSYra54Kaf+xWqrMLJxZ1aplyRJkiSp1VsfAcLWJdtTa/QrtnWNiM4V6ueklBbVUb912fGty9rXd70kSZIkSa3e+ggQupRs1woAStu6VNiuVVva3qXseEvXN4uIMyOiMSIaZ86cWa2bJEmSJEkbnPURICiTUhqTUmpIKTX06tWrpacjSZIkSVLd1keA0FSy3bFGv9K2pgrbtWpL25vKjrd0vSRJkiRJrd76CBCmlWz3qdGv2DY/eypDeX2PiKj1Jb5YP63s+LSy9vVdL0mSJElSq7c+AoTSJy/sWrXXyrYXatTXesJBsb78SQ3F+i0jouJ1AxHRBtgpp35g1q9S/ZZAcexaT4qQJEmSJKlVet8DhJTSy8Ab2e6hlfpERCdgv2x3XFnzeGBxTn1fYGCV+odKtivWA/uw8uaH1eq7AHtXqS8d96EqfSRJkiRJarXW100Ub87evxQR/Sq0nwV0BpYDt5U2pJQWAndlu8MjoluF+m9l703APWX1EymEEADfjIh2Feq/nb1PBh4ta3skO17ar1k23jez3fHZ+SRJkiRJ2qisUYAQET0iYoviq6S+Y+nxiOhcVnoFMJ3CjQb/EBGDsvE2jYjhwA+yfmNSSq9UOPWFwELgQ8B9EbF9Vt8pIi4EhmX9fphSmlOh/nwK4cTuwB0R0Ser7xkR1wCHFfullJaXFmb752e7h0fENRHRM6vvA9wBfDQb/3wkSZIkSdoIRUqp/s4RrwN96+j6q5TSyWW1g4AHgc2zQ01Ae6C4ImAccGRKaUmVcx8O/IaVTzuYR2HVQvG+BL8ETk1VPlBEnA5cC7TNDs0FugGR7V+UUhpZ7QNFxEhgRLabsvN3z/aXAcNTStdXqy/X0NCQGhsb6+3eYiZMdEGFJH0Q7NK/f0tPQZIkbQAi4tmUUkOltvV1CQMppWcp3ATxauBVCsHBQgqXF5wBHFYtPMjq76fwS/91wOtABwohwEPAMSmlU6qFB1n99cAngNuBqRSCiBkULnk4qFZ4kNWPBA7K+s/I6qdm431yTcIDSZIkSZJamzVagaB1xxUIkqQNiSsQJEkSbCArECRJkiRJUutlgCBJkiRJknIZIEiSJEmSpFwGCJIkSZIkKZcBgiRJkiRJymWAIEmSJEmSchkgSJIkSZKkXAYIkiRJkiQplwGCJEmSJEnKZYAgSZIkSZJyGSBIkiRJkqRcBgiSJEmSJCmXAYIkSZIkScplgCBJkiRJknIZIEiSJEmSpFwGCJIkSZIkKZcBgiRJkiRJymWAIEmSJEmSchkgSJIkSZKkXAYIkiRJkqpatGgRDzzwAD/84Q/5whe+QN++fYkIIoKRI0fWrH3kkUf43ve+xyGHHML2229Pjx49aNeuHVtuuSUHHnggP/3pT1m8eHHNMZYtW8YNN9zAkCFD2HLLLWnXrh1dunRht9124xvf+AavvfbaOvy0kmpp29ITkCRJkrTheuaZZzj88MPXqvbyyy/nD3/4Q/N+p06d2GyzzZg5cyZ/+ctf+Mtf/sJPfvITxo4dyw477LBa/Zw5czjssMN4+umnm4916dKFxYsX8/zzz/P8888zevRobrnlFo499ti1mqOk+rkCQZIkSVJNPXr04KCDDuK8887j17/+NVtttVVddZ/+9Kf56U9/yl//+lfmz5/PggULWLBgAbNmzeKnP/0pHTp0YNKkSXz+859nxYoVq9X/53/+Z3N4MHLkSGbNmsX8+fN55513+Mtf/sIuu+zCkiVL+MpXvsLUqVPX6WeWtLpIKbX0HD6QGhoaUmNjY0tPI9eEiRNbegqSpPVgl/79W3oKkjZQy5cvp02bNqsc69evH5MnT2bEiBG5lzHUMmbMGIYOHQrA+PHj2WeffZrblixZQrdu3ZoDgl/+8per1b/22mt85CMfAWDUqFHNY0laexHxbEqpoVKbKxAkSZIkVVUeHqxLn/zkJ5u3p0yZskrbnDlzWLJkCQANDRW/yzBgwAB69uwJwIIFC96nWUoqMkCQJEmS1CIee+yx5u0BAwas0ta7d286deoEQLWVu6+99hqzZ88GqocMktYdAwRJkiRJ683ixYt59dVX+fGPf8w3v/lNAAYPHrxaABARzZck/OpXv+Kiiy7i7bffBgqXVTzyyCN87nOfA+CYY45h//33X4+fQvpg8ikMkiRJkt5X06dP50Mf+lDFtiOOOKLi/Q0AfvSjHzFr1ixuvvlmRo4cyciRI+natSuLFi1i2bJl9O/fn0svvbQ5iJD0/nIFgiRJkqT3VZs2bejduze9e/emffv2zcePPfZYLrvssub7GJRr3749119/PZdffjnt2rUDYP78+SxbtgyARYsWMXv27OZ7JUh6fxkgSJIkSXpf9erVi+nTpzN9+nQWLVrEv//9b773ve9x33338dGPfpQxY8ZUrJs0aRKDBg3ivPPO4+ijj6axsZGmpibeeOMNfvnLXxIRXHrppQwePNibKErrgQGCJEmSpPUmIvjwhz/MD3/4Q2677TaWLl3K8OHD+cc//rFKv+XLl/O5z32O5557jpNOOolf//rXDBo0iM6dO7PNNtvwla98hYcffpjNNtuMZ599lksvvbSFPpH0wWGAIEmSJKlFfOELX6Bv376sWLGCG264YZW2cePG8dxzzwFw7rnnVqwfOHAgn/nMZwC466673t/JSjJAkCRJktRytt56awD+9a9/rXL8hRdeaN4uf8Rjqe233x4oXO4g6f1lgCBJkiSpRaSUmr/4d+nSZZW2TTZZ+VVl8uTJVcd46623KtZLWvcMECRJkiStc8UnJdRy0003MX36dAAOOOCAVdr22GOP5u1rr722Yv306dO5++67Adhrr73WcqaS6mWAIEmSJKmmOXPmMGvWrObXihUrgMJjFEuPlz4JYfz48QwePJhbbrmFKVOmrDLeq6++yre//W2GDh0KFC5ROPnkk1fps99++7H77rsD8POf/5xzzjmHadOmAfDOO+8wduxYBg8ezLx584gIzjnnnPfr40vKREqppefwgdTQ0JAaGxtbehq5Jkyc2NJTkCStB7v079/SU5C0AevXr1/NywiKvvKVr/DLX/4SgL/85S8ceOCBzW3t27enc+fOLFy4kMWLFzcf33333bnnnnvo16/fauO99tprHHzwwUws+d+knTt3ZtGiRc0hRps2bbjqqqv4+te/vpafTlKpiHg2pdRQqa3t+p6MJEmSpI3foEGDuPnmm/nLX/7Cs88+y/Tp03n77bfZbLPNGDBgAHvssQdHH300xxxzDG3atKk4xoABA/jnP//Jddddx7333svzzz/P3Llzad++Pdtuuy37778/X/3qV/noRz+6nj+d9MHkCoQW4goESdKGxBUIkiQJaq9A8B4IkiRJkiQplwGCJEmSJEnKZYAgSZIkSZJyGSBIkiRJkqRcBgiSJEmSJCmXAYIkSZIkScplgCBJkiRJknIZIEiSJEmSpFwGCJIkSVIrdsEFFxARXHbZZS09lY3GsGHDiAhuvPHGlp6KtEExQJAkSZJaqSlTpnDVVVfRq1cvzjrrrIp9XnvtNYYOHcp2221H+/bt2XLLLTnkkEO466673tO5X3/9dW699VbOPvts9t9/f7p27UpEEBG8/vrrdY0xe/ZsLr74Yj7+8Y/TvXt32rVrR8+ePdl777255JJLmD9/ftXahx56iMGDB9OpUyc6d+7MAQccwJ/+9Kea57vpppuICL7+9a/X7Pfd736XTTfdlO9///ssXLiwrs8ifRBESqml5/CB1NDQkBobG1t6GrkmTJzY0lOQJK0Hu/Tv39JTkLQWvvKVr3DzzTdz+eWXc+65567Wfv/993PssceyaNEiALp27cqCBQtYsWIFAKeccgo33HADEbHG5z755JP51a9+VbFt0qRJ9OvXr2b93/72Nw477DDeeustACKCrl27Mn/+fIrfUfr06cO4cePYeeedV6m9++67OeaYY1ixYgXt2rUDYOnSpbRp04bf/e53HHnkkaudb9asWey00060b9+eF198kS5dutSc37Bhwxg9ejQXXXQRF154Yc2+0sYkIp5NKTVUanMFgiRJktQKTZ06ldtuu41NN92UU089dbX2SZMmcdxxx7Fo0SL22WcfXn75ZebNm8e8efOavxDfdNNNXH755Wt1/k022YQBAwZw7LHH8l//9V9ccsklddcuW7aMY445hrfeeovu3btz2223sWjRIubOncuiRYv41a9+RdeuXZk6dSpf/vKXV6lNKXH22WezYsUKvvWtb7Fw4UIWLFjA2WefzfLly/nGN75BpR9JzznnHN5++21+/vOf54YHUAgQAH7605+yZMmSuj+btDFzBUILcQWCJGlD4goEqfUZOXIkF110EUcddRR33333au3/8R//wa233spWW23Fiy++SPfu3VdpHzp0KGPGjKFr1668/vrr9OjRY43Ov3z5ctq0adO8/5e//IUDDzwQyF+B8Mgjj3DAAQcAhRDj5JNPXq3PDTfcwOmnnw7ASy+9xI477gjAyy+/zE477UTv3r2ZOnVq8xyWLVtGnz59mDFjBi+//DI77LBD81gPP/wwn/70p/nc5z7HPffcU/dn3G233Xj++ee59dZbOeGEE+quk1ozVyBIkiRJG5GUEjfccAMAxx9//GrtCxcubL7HwfDhw1cLDwC+853vADB//vw1+lJdVBoerKk333yzebuhoeL3FD7+8Y83by9YsKB5e9asWQD069dvlTm0bdu2ObSYOXNm8/F33nmHYcOG0aVLF37+85+v0TyLqx/GjBmzRnXSxsoAQZIkSWplnn/+eaZMmQLAfvvtt1r7+PHjWbx4MQCHHXZYxTH69evHwIEDARg3btz7NNPK+peseqq2KveZZ54BoFOnTuy0007NxzfffHOgcBPH5cuXNx9ftmxZ880be/Xq1Xz8Bz/4Af/617/40Y9+xIc//OE1mufgwYMBePzxx2lqalqjWmljZIAgSZIktTKPPvooANtssw1bbbXVau3PP/988/Yuu+xSdZxdd90VgAkTJqzjGda25557Nq88OOecc7j99tt55513gMKKgVtuuYVzzjkHgEsvvZROnTo11+64445ss802vPXWW3zve99j6dKlLF26lO985zvMmDGDvn37sv322zd/rssvv5w999yz6lMqahk0aBBt27Zl+fLlPP744+/1Y0utngGCJEmS1Mo8/fTTAOy+++4V26dNmwZAjx496NixY9Vx+vTps0r/9SUiuOuuu2hoaGDOnDmccMIJdOzYsXm+J510EjvvvDN33333al/8I4KrrrqKiODSSy+lc+fOdO7cmSuuuIJNNtmEq6++moggpcSZZ55JSonrrruOTTZZ868+HTp0aL73wpNPPrlOPrvUmhkgSJIkSa1M8Qt/6VL9UsXl9rXCg9L2lliev+222zJu3LjmmxOmlJg7d27zExQWLFjAjBkzKtYec8wx3H///eyzzz60bduWtm3bst9++zF27Fg+//nPAzB69GieeOIJzj77bHbffXeWLl3KRRddRP/+/dlss83YbrvtGDFiBEuXLq05zy222AJY/yGLtCEyQJAkSZJameJNAnv27NnCM1l748aNY8CAAfz2t79lxIgRvPTSSyxcuJCXXnqJESNG8OqrrzJ06FCGDh1asf7QQw9l/PjxLFy4kIULF/Loo48yZMgQAKZPn863v/1ttttuO0aOHAnACSecwMiRI2nbti3HH388bdu25eKLL859ukLxb1x6Y0bpg6ptS09AkiRJ0pop3i9gs802q9jepUsXABYtWlRznGJ7sf/68sYbb3DUUUexePFibrzxRk455ZTmth133JGRI0ey7bbbctpppzFmzBiOO+44DjrooLrH/8Y3vsG8efO444476NixIw899BC/+c1v2HXXXXnqqafo1KkTTU1NfPzjH+c3v/kNDz30UHP4UK5Dhw7Ayr+59EHmCoQ1EBFdImJkRDwXEQsiYl5E/F9EfDMiNm3p+UmSJOmDofgkgjlz5lRs33rrrZvba4UIU6dOXaX/+vKLX/yCxYsX07Nnz1XCg1Knnnpq86//xUdS1uP+++/nzjvv5Mtf/jKHHnooAHfffTcAQ4cObb4hY5cuXRg2bBhAzcdYzp49G1j5N5c+yAwQ6hQRfYF/AiOAXYEANgMagCuApyKiR8vNUJIkSR8UxXsfFL/clis+XQFqP2Gh+LSGWk9qeD+88MILAAwYMKBmv+LTFCZNmlTXuAsXLuSrX/0qPXr04Oqrr24+PnHixIrnK45fbK+k+Deudr8J6YPEAKEOEdEGuA/oB7wJDEkpdQI6Al8CmoCPAbe11BwlSZL0wbHzzjsD1b/47rvvvs1L78eOHVuxz+TJk3nxxRcBOPjgg9+HWVZXfCLC5MmTa/Z76623gPovsRgxYgSTJ0/msssuo3fv3qu1L168uOJ+RFQdsxheDBw4sK45SBszA4T6nAzslm0fnVL6I0BKaUVK6X+A4p1dDouI+i/OkiRJktbC4MGDAfjHP/7BkiVLVmvv1KkTRx99NADXXnst8+bNW63PpZdeChS+nB911FHv32Qr2GOPPQCYMWMGv/vd7yr2GTt2LK+//joAe+21V+6Yf//73/nJT37Cfvvtx2mnnbZK23bbbQfAM888s8rxp556apX2cpMmTWq+eeL++++fOwdpY2eAUJ+vZO9/TilVegDsHUBxXdVJ62dKkiRJ+qAqPr7w3Xff5e9//3vFPhdffDGdOnXizTff5IgjjuDVV18FCsv8L774YkaNGgXABRdcQI8eq1+Je8ABBxAR9OvXr+L4S5cuZdasWc2v0pBizpw5q7SVPyrxtNNOa36E5KmnnsqoUaOa6+fNm8c111zDF7/4RaDwFISTTz655t9jxYoVnHHGGbRp04bRo0evtqLgc5/7HACjRo3iscceA+Cxxx5j9OjRq7SXe/rppwHo3bs3O+20U805SB8EBgg5IqIjsE+2+0ClPqnwsNri2rD1u/5LkiRJHzhdu3blM5/5DAD/+7//W7HPdtttx5133knHjh157LHH2GGHHejevTvdunVjxIgRpJQ4+eSTOe+889ZqDo8//ji9evVqfpWuYthjjz1WaXv88cdXqf3whz/MHXfcQefOnZk3bx7Dhw9vnlv37t0566yzmD9/Pj179uSee+6pGHCU+tnPfkZjYyPf/va3K15qcOihh3LkkUcyb948Bg8eTMeOHRk8eDBNTU184QtfqHoJR/Fv++Uvf3kN/zrSxskAId9AVv6dnq/Rr9i2VUS03gfySpIkqVUYOrRwFe3tt99O4fes1R1++OH885//5IwzzqBfv34sXryY7t27M2TIEH77299y00031bz+//10xBFHMGHCBL71rW+xxx570LVrVxYuXEi3bt3Yc889+f73v88LL7zAfvvtV3OcKVOmcMEFF7DDDjvw3e9+t2q/O++8kwsuuIB+/fqxbNky+vbtywUXXMCvf/3riv0XLlzIvffeC8CZZ5659h9U2ohEtf/YqCAijgCKse7uKaV/Vun3OeCebHe3lFKtsIGGhobU2Ni4zub5fplQ4460kqSNxy79+7f0FD6wFk36fUtPQa3UihUr2P2gYUyc/CYP3nEJ+3581/wi1e223/2JM8+9msF7fZQHbvtRS09HrVzH7T7b0lOoW0Q8m1JqqNhmgFBbRBzPyqcrbJ9S+leVfkOAcdnu3pXulRARZwLF+HJH4OV1PF1J68YWwKyWnoQkSXXoCWwHzAMq/u/UDVRr+Ld2F6A98BKwsIXnIq1PfVNKFZ9b2nZ9z+SDLKU0BhjT0vOQVFtENFZLXSVJ2pBE4fqDp4CPA2ellJ5u4SnVZUP/tzYivkjhRum/SSkd19LzkTYUBgj5mkq2O9boV9rWVLWXJEmStI6klFJEDAWOovCrvtaNdsBFwE0tPRFpQ2KAkG9ayXYfoOI9ELK2SjWSJEnS+yal9Hfg7y08jY1KSunWlp6DtCHyKQz5XgRWZNu17kxTbJueUpr9/k5J0vvMS40kSXp/+W+t1AoZIORIKS0Cig+uPbRSn+zas0Oy3XGV+khqPbL7lUiSpPeJ/9ZKrZMBQn1+lb0fGBGfqNB+LFB8/tXN62dKkiRJkiStPwYI9fkV8BwQwF0RcRBARGwSEccC12X9HkgpPdxCc5TUQiLiLxGRIsLn4kqStIby/h2NiAOK7RExcm3GkLRueBPFOqSUlkXEkcCfgX7AHyNiEYUApn3W7W/ACS0zQ0mSJGnDEBFHAf9ftvuTlNLcFpuMpHXKFQh1Sim9DnwUuBh4HkjAUuBZ4FzgkymlOS02QUmSJGnDcBQwInt1b9GZSFqnXIGwBlJKTaz8j6EkAZBSOqCl5yBJUmvlv6NS6+EKBEmSJEmSlMsAQZIkSZIk5TJAkPSeVLozckTsEBG/iIhXI2JRREyLiPsiYu8K9Z+JiN9HxL8j4p2ImBwR10TEVnWcu2dEfD8inoyImRHxbkS8GRF/jIj/FxHtq9QdWTLnK+v8nFeV1BxR1pZ39+iTS2pPzo7tHBGjI+K1iFgcEW9HxMMR8eWIiDrms0lEnBIRf46IWdnf+V8RMSoids76jCw57wH1fE5Jkooiok1E/Ef2b3jx3+nF2fZfI2JMRHwhIjpm/X+Z/Vv4lZJhJpX8W1R8/bLsPD5BQWolvAeCpHUqIo4GbgY6lhzuAHwW+ExEnJZSuiki2gGjgVPKhtgWGA58PiL2Syn9q8p5Pgf8ktVvzrRV9joIODcijkop/a2szwPALGAL4MsRcV5KaUWNz9QG+FK2OwsYW61vPbIQYRSwWcnh9sCnstchwMk16rsC9wGDy5oGZK+vRMSp72WOkqQPtojYArgf2LNC84ez18eAM4DPA/est8lJajEGCJLWpT2AbwPvAj8BGimsdDoU+DIQwHUR8RjwDQrhwT+BW4HJQG/gTGBXCiHAL4F9y08SEYcDdwFtskOPAr8F3gL6Av8B7EYhjHgkIj6eUnqpWJ9SWhoR/wOcBXyIQtjwUI3PdVDWD+COlNLSOv8elRwKHAvMA35B4RGwiUIYcArQjkIA8GhK6cby4mx1wt2sDA/mAjdk47Sh8Pf6CoW/3XsKOiRJH2jXsTI8+Bfwa+AVYDHQFdiRwr9Fnyip+SmFIOHrwIHZsaHAjLKx33hfZizpfWeAIGldOgJ4DfhUSqn0fxzcEhETgB9R+JL7PxR+tbgW+Frpr/8RcQPwFIUAYJ/sy/8zJe1dgJtYGR6cm1Ja5TKEiLgauIbCryJdgFtY/ReUWykECAAnUjtAOLGs7r34IvB34JCUUun/oLotIsYCv8v2zwVWCxCAUymsUoDC3/qAlNKUkvabI2IU8EfgyPc4V0nSB1BEbMnKf0MaKfxbs7BK377F7ZTSX4G/RsRRJV3GZY9Dl7QR8B4Ikta1E8vCg6IrgaZsew/geeDr5ZcOpJQWAf9VcuiQsnFOAbbMtu8sDw+yMZZRuAziH9mhhoj4dFmfp4BXs93m6zfLZcc/n+2+mlJ6ulK/NbAUOKYsPCjO6W7g8Wx3YERsU6H+P0u2TywLD4rj/BU45z3OU5L0wdWfld8Tbq8WHgCklCanlCavn2lJamkGCJLWpWezL+arSSktofArRtHo7It+JeNLtncua/tCyfal1SaSUloOXFGlrqi4mqAz8LkqQx2VtUNhJcN79fuU0ms12v9Usr3KZ4+IARQu7wB4utrfOnMb8PbaTVGS9AG3qGR7lxabhaQNjgGCpHUp79f5t0q2n6naa9V+PYob2fX/xUsRZmW/tNfyYMn2Jyq0l16OcGKF9vLjt+Wcrx61vvQDTC3Z7lHW1lCy/edag2T3aXi8Vh9JkqqYAEzLtk+LiBsi4pMR4XcH6QPO/whIWpfyfvFeUk/fbLVCUemjGLuy8ukOr5IjpTSTws0KYeVNEEvbJwJPZLsHR0Sv0vbsGtAh2e7jWf/3alZOe7XPDrB1yXY9c1kX85UkfcBkq/iGUrgpMhTuv/Mk8HZE3B8R342IQS02QUktxgBB0rpU9VGI77FvUZeS7arXY5ZZUKG2VPGyhLb8/+3dW4hVZRTA8f/CC4EPGooRQdDFiJLKJLtQoS9ZRKEEUZldCIJeMpSeAnsIepBQi14KCkVDMntQ1HqxjDAIS7pCQVYEFVgqOqJhxerh24ez5zRnzuBcjuf4/8Fhvr332ps18zAzrP1932q2amx4gOZms2OxfAHO7PtumFYbn2wb1TTSn5EkSYNk5k5gAaWrQqP70AzgLsqmyJ9FxNcRcWdXEpTUFRYQJPWSgdp4WtuowRr7Fwy0ub6V5huW1mUMjePTVVy31QsCQ2762GKkPyNJkv4nM7/MzKXATErh4AXgI5oFhbnA7ohY1qUUJU0wCwiSeslxmm/e53QKrpYkTK8OfxsqJjOPALurwwURMae69wqa+y3sysyjZ5r0GKp/D5eOIH4kMZIkDSszBzLz/cxcnZkLKcsC11WXA1gbEZPaPkBS37CAIKlnZGYC+6vDWRFxXYdb7qiNh9u0sb484eGWr63Xu6nexWLRcIERMQW4ZXzTkSSdizLzcGaupPl3aTaDC/v15XoxYYlJGncWECT1mndr42fbBVVvQla1ua/VTqAxw2BZ1e2hMR3zKLDrDPIcc1X7x2+rwxsj4qZhwpcBs8Y/K0nSOezn2nhybXyiNnY5ndRHLCBI6jUbgEPV+KGIeLo1oCoevArMq07tz8w97R6YmaeBd6rDy4CVNKf/b62uny3W1cabI+Ki1oCImAesnbiUJEn9JCIWR8SKiJg+TMzlNDsVnQAO1i7/VBtfPw4pSuqSyZ1DJOnskZkDEfE4sAOYBLwcEUuBbcAfwMXAcuCa6pYB4JERPHoT8GQ1frHl/NnkTcrsgkWUYsc3EfEGcIDyO/1W4NEqdgdwbzUeTfcHSdK55UJgPbAmIj4EPqW0Bj5Jmd12A3A/zdkF6zPzVO3+etF+TbUn0ffAP9W5XzPz6/FLX9J4sYAgqedk5u6IuA/YSNkkcWH1afULsDQzvxvBY/dR3phcAkytzv2YmftGnfAYysyMiCWUZRe3UVpqrWoJ+4vSs/tqmgWEdl0oJElq1Sg6TwUWV5+hJPAK8Pygk5lfRcQW4EHgAuCllvs2Ao+NVbKSJo5LGCT1pMzcTnkDv5ryZuQwpa3UIeADYAVwZWYeGOHzEtjccvqtMUt4DGXmcUrB5AlKO62jlKLBQeB1YH5mbqG03Wo4MsFpSpJ61ybgWsqSvu3AD5RWwv8Cx4AvKEsF52fmM5k51Cy35cBTwF7gT5qzDyT1sCj/M0uS+k1EfE5Ze3oMOD/9hS9JkqRRcAaCJPWhiLiZ5sZVey0eSJIkabQsIEhSj4mIuRExc5jrVwFbaqdeG/+sJEmS1O/cRFGSes8S4LmI2AN8QunD/TcwG7gdWApMqWK3ZeZ7XchRkiRJfcYCgiT1pvOAu6tPO2/jLteSJEkaI26iKEk9JiJmA/dQ2mrNpfTkngGcAn6ntKTckJkfdytHSZIk9R8LCJIkSZIkqSM3UZQkSZIkSR1ZQJAkSZIkSR1ZQJAkSZIkSR1ZQJAkSZIkSR1ZQJAkSZIkSR1ZQJAkSZIkSR39B3a+TC+lB20XAAAAAElFTkSuQmCC\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"markdown","source":"###  지하 지상 분석","metadata":{}},{"cell_type":"code","source":"import numpy as np\nimport pandas as pd\npd.set_option(\"display.max_colwidth\", 50)\n    \nimport matplotlib.pyplot as plt\nimport seaborn as sns\n\nimport glob\nimport os\nimport sys\nimport math\nimport gc\nimport json \nimport re\nfrom tqdm import tqdm\n\nimport warnings # Supress warnings \nwarnings.filterwarnings('ignore')\n\nPATH = '../input/indoor-location-navigation/'\n\nsubmission = pd.read_csv(f'{PATH}sample_submission.csv')","metadata":{"execution":{"iopub.status.busy":"2023-05-04T05:20:31.364684Z","iopub.execute_input":"2023-05-04T05:20:31.365063Z","iopub.status.idle":"2023-05-04T05:20:31.393818Z","shell.execute_reply.started":"2023-05-04T05:20:31.365025Z","shell.execute_reply":"2023-05-04T05:20:31.392752Z"},"trusted":true},"execution_count":5,"outputs":[]},{"cell_type":"code","source":"# Edited from https://www.kaggle.com/devinanzelmo/wifi-features\nsubmission['building'] = submission[\"site_path_timestamp\"].apply(lambda x: x.split(\"_\")[0])\nprint(f\"The test set convers {submission['building'].nunique()} buildings with {len(submission)} pathes to predict.\")\nused_buildings = list(submission['building'].unique())","metadata":{"execution":{"iopub.status.busy":"2023-05-04T05:20:31.395876Z","iopub.execute_input":"2023-05-04T05:20:31.396294Z","iopub.status.idle":"2023-05-04T05:20:31.416247Z","shell.execute_reply.started":"2023-05-04T05:20:31.396247Z","shell.execute_reply":"2023-05-04T05:20:31.415209Z"},"trusted":true},"execution_count":6,"outputs":[{"name":"stdout","text":"The test set convers 24 buildings with 10133 pathes to predict.\n","output_type":"stream"}]},{"cell_type":"code","source":"b_f = {\n    \"B\":{\n        \"wifi\":[],\n        \"ibeacon\":[],\n        \"acc\":[],\n        \"acc_u\":[],\n        \"gro\":[],\n        \"gro_u\":[],\n        \"mc\":[],\n        \"mc_u\":[],\n        \"ro\":[],\n    },\n    \"F\":{\n        \"wifi\":[],\n        \"ibeacon\":[],\n        \"acc\":[],\n        \"acc_u\":[],\n        \"gro\":[],\n        \"gro_u\":[],\n        \"mc\":[],\n        \"mc_u\":[],\n        \"ro\":[],\n    }\n}","metadata":{"execution":{"iopub.status.busy":"2023-05-04T05:20:31.41782Z","iopub.execute_input":"2023-05-04T05:20:31.418474Z","iopub.status.idle":"2023-05-04T05:20:31.425651Z","shell.execute_reply.started":"2023-05-04T05:20:31.41843Z","shell.execute_reply":"2023-05-04T05:20:31.424555Z"},"trusted":true},"execution_count":7,"outputs":[]},{"cell_type":"code","source":"np.random.choice(used_buildings, 5, replace=False)","metadata":{"execution":{"iopub.status.busy":"2023-05-04T05:21:41.619306Z","iopub.execute_input":"2023-05-04T05:21:41.619901Z","iopub.status.idle":"2023-05-04T05:21:41.626061Z","shell.execute_reply.started":"2023-05-04T05:21:41.619863Z","shell.execute_reply":"2023-05-04T05:21:41.624972Z"},"trusted":true},"execution_count":11,"outputs":[{"execution_count":11,"output_type":"execute_result","data":{"text/plain":"array(['5d27099f03f801723c32511d', '5da138274db8ce0c98bbd3d2',\n       '5d27096c03f801723c31e5e0', '5dbc1d84c1eb61796cf7c010',\n       '5d2709bb03f801723c32852c'], dtype='<U24')"},"metadata":{}}]},{"cell_type":"code","source":"train_df = pd.DataFrame()\nbuilding_dict = {}\nfor building in np.random.choice(used_buildings, 5, replace=False):\n    for floor in os.listdir(f\"{PATH}/train/{building}\"):\n        for path in os.listdir(f\"{PATH}/train/{building}/{floor}\"):\n            file = f\"{PATH}/train/{building}/{floor}/{path}\"\n                                                                                                                                                                                        \n            with open(file) as p:\n                lines = p.readlines()\n            \n            if floor in [\"B1\", \"B2\"]:\n                # wifi\n                idx = pd.Series(lines).apply(lambda x : x.strip().split('\\t')[1] == 'TYPE_WIFI')\n                if idx.sum(): \n                    b_f['B']['wifi'].extend(pd.Series(lines)[idx].apply(lambda x : np.array(x.strip().split('\\t'))[4]).values)\n                # ibeacon\n\n                idx = pd.Series(lines).apply(lambda x : x.strip().split('\\t')[1] == 'TYPE_BEACON')\n                if idx.sum():    \n                    b_f['B']['ibeacon'].extend(np.vstack(pd.Series(lines)[idx].apply(lambda x : np.array(x.strip().split('\\t'))[[6, 7]]).values))\n\n                # acc\n                idx = pd.Series(lines).apply(lambda x : x.strip().split('\\t')[1] == 'TYPE_ACCELEROMETER')\n                if idx.sum():\n                    b_f['B']['acc'].extend(np.vstack(pd.Series(lines)[idx].apply(lambda x : np.array(x.strip().split('\\t'))[[2, 3, 4]]).values))\n                idx = pd.Series(lines).apply(lambda x : x.strip().split('\\t')[1] == 'TYPE_ACCELEROMETER_UNCALIBRATED')\n                if idx.sum():\n                    b_f['B']['acc_u'].extend(np.vstack(pd.Series(lines)[idx].apply(lambda x : np.array(x.strip().split('\\t'))[[2, 3, 4]]).values))\n\n                # gro\n                idx = pd.Series(lines).apply(lambda x : x.strip().split('\\t')[1] == 'TYPE_GYROSCOPE')\n                if idx.sum():\n                    b_f['B']['gro'].extend(np.vstack(pd.Series(lines)[idx].apply(lambda x : np.array(x.strip().split('\\t'))[[2, 3, 4]]).values))\n                idx = pd.Series(lines).apply(lambda x : x.strip().split('\\t')[1] == 'TYPE_GYROSCOPE_UNCALIBRATED')\n                if idx.sum():\n                    b_f['B']['gro_u'].extend(np.vstack(pd.Series(lines)[idx].apply(lambda x : np.array(x.strip().split('\\t'))[[2, 3, 4]]).values))\n\n                # mc\n                idx = pd.Series(lines).apply(lambda x : x.strip().split('\\t')[1] == 'TYPE_MAGNETIC_FIELD')\n                if idx.sum():\n                    b_f['B']['mc'].extend(np.vstack(pd.Series(lines)[idx].apply(lambda x : np.array(x.strip().split('\\t'))[[2, 3, 4]]).values))\n                idx = pd.Series(lines).apply(lambda x : x.strip().split('\\t')[1] == 'TTYPE_MAGNETIC_FIELD_UNCALIBRATED')\n                if idx.sum(): \n                    b_f['B']['mc_u'].extend(np.vstack(pd.Series(lines)[idx].apply(lambda x : np.array(x.strip().split('\\t'))[[2, 3, 4]]).values))\n\n                # ro\n                idx = pd.Series(lines).apply(lambda x : x.strip().split('\\t')[1] == 'TYPE_ROTATION_VECTOR')\n                if idx.sum():\n                    b_f['B']['ro'].extend(np.vstack(pd.Series(lines)[idx].apply(lambda x : np.array(x.strip().split('\\t'))[[2, 3, 4]]).values))\n            else:\n                # wifi\n                idx = pd.Series(lines).apply(lambda x : x.strip().split('\\t')[1] == 'TYPE_WIFI')\n                if idx.sum(): \n                    b_f['F']['wifi'].extend(pd.Series(lines)[idx].apply(lambda x : np.array(x.strip().split('\\t'))[4]).values)\n                \n                # ibeacon\n                idx = pd.Series(lines).apply(lambda x : x.strip().split('\\t')[1] == 'TYPE_BEACON')\n                if idx.sum():    \n                    b_f['F']['ibeacon'].extend(np.vstack(pd.Series(lines)[idx].apply(lambda x : np.array(x.strip().split('\\t'))[[6, 7]]).values))\n                \n                # acc\n                idx = pd.Series(lines).apply(lambda x : x.strip().split('\\t')[1] == 'TYPE_ACCELEROMETER')\n                if idx.sum():\n                    b_f['F']['acc'].extend(np.vstack(pd.Series(lines)[idx].apply(lambda x : np.array(x.strip().split('\\t'))[[2, 3, 4]]).values))\n                idx = pd.Series(lines).apply(lambda x : x.strip().split('\\t')[1] == 'TYPE_ACCELEROMETER_UNCALIBRATED')\n                if idx.sum():\n                    b_f['F']['acc_u'].extend(np.vstack(pd.Series(lines)[idx].apply(lambda x : np.array(x.strip().split('\\t'))[[2, 3, 4]]).values))\n\n                # gro\n                idx = pd.Series(lines).apply(lambda x : x.strip().split('\\t')[1] == 'TYPE_GYROSCOPE')\n                if idx.sum():\n                    b_f['F']['gro'].extend(np.vstack(pd.Series(lines)[idx].apply(lambda x : np.array(x.strip().split('\\t'))[[2, 3, 4]]).values))\n                idx = pd.Series(lines).apply(lambda x : x.strip().split('\\t')[1] == 'TYPE_GYROSCOPE_UNCALIBRATED')\n                if idx.sum():\n                    b_f['F']['gro_u'].extend(np.vstack(pd.Series(lines)[idx].apply(lambda x : np.array(x.strip().split('\\t'))[[2, 3, 4]]).values))\n\n                # mc\n                idx = pd.Series(lines).apply(lambda x : x.strip().split('\\t')[1] == 'TYPE_MAGNETIC_FIELD')\n                if idx.sum():\n                    b_f['F']['mc'].extend(np.vstack(pd.Series(lines)[idx].apply(lambda x : np.array(x.strip().split('\\t'))[[2, 3, 4]]).values))\n                idx = pd.Series(lines).apply(lambda x : x.strip().split('\\t')[1] == 'TTYPE_MAGNETIC_FIELD_UNCALIBRATED')\n                if idx.sum(): \n                    b_f['F']['mc_u'].extend(np.vstack(pd.Series(lines)[idx].apply(lambda x : np.array(x.strip().split('\\t'))[[2, 3, 4]]).values))\n\n                # ro\n                idx = pd.Series(lines).apply(lambda x : x.strip().split('\\t')[1] == 'TYPE_ROTATION_VECTOR')\n                if idx.sum():\n                    b_f['F']['ro'].extend(np.vstack(pd.Series(lines)[idx].apply(lambda x : np.array(x.strip().split('\\t'))[[2, 3, 4]]).values))\n","metadata":{"execution":{"iopub.status.busy":"2023-05-04T05:21:45.42323Z","iopub.execute_input":"2023-05-04T05:21:45.4236Z","iopub.status.idle":"2023-05-04T05:34:17.948082Z","shell.execute_reply.started":"2023-05-04T05:21:45.423565Z","shell.execute_reply":"2023-05-04T05:34:17.946102Z"},"trusted":true},"execution_count":12,"outputs":[]},{"cell_type":"code","source":"# .style.background_gradient(cmap='Blues', vmin=0, vmax=0.5).format(\"{:.0f}\").set_caption('')","metadata":{},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# B/F 층별 패턴 분석\n# wifi, ibeacon, acc, gro, mc, ro","metadata":{},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"B_data = b_f['B']\nF_data = b_f['F']","metadata":{"execution":{"iopub.status.busy":"2023-05-04T05:34:54.999056Z","iopub.execute_input":"2023-05-04T05:34:54.999733Z","iopub.status.idle":"2023-05-04T05:34:55.003964Z","shell.execute_reply.started":"2023-05-04T05:34:54.999695Z","shell.execute_reply":"2023-05-04T05:34:55.002982Z"},"trusted":true},"execution_count":14,"outputs":[]},{"cell_type":"code","source":"wifi_BF = pd.DataFrame({\"B\":pd.Series(B_data['wifi'], dtype=np.int),\n             \"F\":pd.Series(F_data['wifi'], dtype=np.int)})\nwifi_BF.to_csv(\"wifi.csv\")","metadata":{"execution":{"iopub.status.busy":"2023-05-04T05:38:59.954656Z","iopub.execute_input":"2023-05-04T05:38:59.955161Z","iopub.status.idle":"2023-05-04T05:39:10.879773Z","shell.execute_reply.started":"2023-05-04T05:38:59.955118Z","shell.execute_reply":"2023-05-04T05:39:10.878665Z"},"trusted":true},"execution_count":31,"outputs":[]},{"cell_type":"code","source":"BF_floor = [\"B\"] * len(B_data['wifi']) + [\"F\"] * len(F_data['wifi'])\nsignal = pd.concat((pd.Series(B_data['wifi'], dtype=np.int),\n                    pd.Series(F_data['wifi'], dtype=np.int)), axis=0)\nwifi_BF = pd.DataFrame({\"Floor\":BF_floor,\n             \"Signal\":signal})","metadata":{"execution":{"iopub.status.busy":"2023-05-04T05:42:51.478114Z","iopub.execute_input":"2023-05-04T05:42:51.478491Z","iopub.status.idle":"2023-05-04T05:42:51.726193Z","shell.execute_reply.started":"2023-05-04T05:42:51.478456Z","shell.execute_reply":"2023-05-04T05:42:51.724964Z"},"trusted":true},"execution_count":39,"outputs":[]},{"cell_type":"code","source":"wifi_BF.groupby(\"Floor\").mean().style.background_gradient(cmap='Blues', vmin=-50, vmax=0).format(\"{:.0f}\").set_caption('')","metadata":{"execution":{"iopub.status.busy":"2023-05-04T05:49:52.279244Z","iopub.execute_input":"2023-05-04T05:49:52.279645Z","iopub.status.idle":"2023-05-04T05:49:53.372792Z","shell.execute_reply.started":"2023-05-04T05:49:52.279608Z","shell.execute_reply":"2023-05-04T05:49:53.372053Z"},"trusted":true},"execution_count":56,"outputs":[{"execution_count":56,"output_type":"execute_result","data":{"text/plain":"<pandas.io.formats.style.Styler at 0x75f05f340450>","text/html":"<style  type=\"text/css\" >\n#T_b735c_row0_col0,#T_b735c_row1_col0{\n            background-color:  #f7fbff;\n            color:  #000000;\n        }</style><table id=\"T_b735c_\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >Signal</th>    </tr>    <tr>        <th class=\"index_name level0\" >Floor</th>        <th class=\"blank\" ></th>    </tr></thead><tbody>\n                <tr>\n                        <th id=\"T_b735c_level0_row0\" class=\"row_heading level0 row0\" >B</th>\n                        <td id=\"T_b735c_row0_col0\" class=\"data row0 col0\" >-78</td>\n            </tr>\n            <tr>\n                        <th id=\"T_b735c_level0_row1\" class=\"row_heading level0 row1\" >F</th>\n                        <td id=\"T_b735c_row1_col0\" class=\"data row1 col0\" >-77</td>\n            </tr>\n    </tbody></table>"},"metadata":{}}]},{"cell_type":"code","source":"# wifi signal\nsns.boxplot(x='Floor', y='Signal', data=wifi_BF)","metadata":{"execution":{"iopub.status.busy":"2023-05-04T05:45:21.794354Z","iopub.execute_input":"2023-05-04T05:45:21.794728Z","iopub.status.idle":"2023-05-04T05:45:27.82652Z","shell.execute_reply.started":"2023-05-04T05:45:21.794698Z","shell.execute_reply":"2023-05-04T05:45:27.825365Z"},"trusted":true},"execution_count":49,"outputs":[{"execution_count":49,"output_type":"execute_result","data":{"text/plain":"<AxesSubplot:xlabel='Floor', ylabel='Signal'>"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"<Figure size 432x288 with 1 Axes>","image/png":"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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","source":"# ibeacon","metadata":{"execution":{"iopub.status.busy":"2023-05-04T05:57:21.050002Z","iopub.execute_input":"2023-05-04T05:57:21.050406Z","iopub.status.idle":"2023-05-04T05:57:21.054801Z","shell.execute_reply.started":"2023-05-04T05:57:21.050373Z","shell.execute_reply":"2023-05-04T05:57:21.053631Z"},"trusted":true},"execution_count":74,"outputs":[]},{"cell_type":"code","source":"BF_floor = [\"B\"] * len(B_data['ibeacon']) + [\"F\"] * len(F_data['ibeacon'])\nsignal = np.concatenate((np.vstack(B_data['ibeacon'])[:, 0].astype(np.float),\n               np.vstack(F_data['ibeacon'])[:, 0].astype(np.float)))\ndistance = np.concatenate((np.vstack(B_data['ibeacon'])[:, 1].astype(np.float),\n               np.vstack(F_data['ibeacon'])[:, 1].astype(np.float)))\nibeacon_BF = pd.DataFrame({\"Floor\":BF_floor,\n             \"Signal\":signal,\n                          \"Distance\":distance})\nibeacon_BF.to_csv(\"ibeacon.csv\")","metadata":{"execution":{"iopub.status.busy":"2023-05-04T05:55:14.554067Z","iopub.execute_input":"2023-05-04T05:55:14.554417Z","iopub.status.idle":"2023-05-04T05:55:16.390688Z","shell.execute_reply.started":"2023-05-04T05:55:14.554387Z","shell.execute_reply":"2023-05-04T05:55:16.389866Z"},"trusted":true},"execution_count":71,"outputs":[]},{"cell_type":"markdown","source":"### site별 층 존재","metadata":{}},{"cell_type":"code","source":"from glob import glob\nall_floors = glob(\"../input/indoor-location-navigation/metadata/*/*\")","metadata":{"execution":{"iopub.status.busy":"2023-05-02T09:08:49.707563Z","iopub.execute_input":"2023-05-02T09:08:49.707972Z","iopub.status.idle":"2023-05-02T09:08:51.36983Z","shell.execute_reply.started":"2023-05-02T09:08:49.707937Z","shell.execute_reply":"2023-05-02T09:08:51.368888Z"},"trusted":true},"execution_count":26,"outputs":[]},{"cell_type":"code","source":"train_df = pd.DataFrame()\nbuilding_dict = {}\n\nall_floors = glob(\"../input/indoor-location-navigation/metadata/*/*\")\nfloor_no = []\n\n# Extract only the floor number\nfor floor in all_floors:\n    no = floor.split(\"/\")[5]\n    sity = floor.split(\"/\")[4]\n    building_dict['building'] = sity\n    building_dict['floor'] = no\n    train_df = train_df.append(building_dict, ignore_index=True)","metadata":{"execution":{"iopub.status.busy":"2023-05-02T09:08:51.372051Z","iopub.execute_input":"2023-05-02T09:08:51.372379Z","iopub.status.idle":"2023-05-02T09:08:53.870632Z","shell.execute_reply.started":"2023-05-02T09:08:51.372347Z","shell.execute_reply":"2023-05-02T09:08:53.869739Z"},"trusted":true},"execution_count":27,"outputs":[]},{"cell_type":"code","source":"s_f = []\nfor sity in train_df['building'].unique():\n    st = []\n    for f in train_df.floor.unique():\n        if f in train_df[train_df['building'] == sity].floor.values:\n            st.append(1)\n        else:\n            st.append(0)\n    s_f.append(st)","metadata":{"execution":{"iopub.status.busy":"2023-04-30T15:50:22.165753Z","iopub.execute_input":"2023-04-30T15:50:22.166236Z","iopub.status.idle":"2023-04-30T15:50:23.76725Z","shell.execute_reply.started":"2023-04-30T15:50:22.166205Z","shell.execute_reply":"2023-04-30T15:50:23.766325Z"},"trusted":true},"execution_count":115,"outputs":[]},{"cell_type":"code","source":"train_df.floor = train_df.floor.apply(lambda x : convert[x] if x in list(convert.keys()) else x)","metadata":{"execution":{"iopub.status.busy":"2023-04-30T15:50:09.490127Z","iopub.execute_input":"2023-04-30T15:50:09.490597Z","iopub.status.idle":"2023-04-30T15:50:09.498268Z","shell.execute_reply.started":"2023-04-30T15:50:09.490558Z","shell.execute_reply":"2023-04-30T15:50:09.497103Z"},"trusted":true},"execution_count":114,"outputs":[]},{"cell_type":"code","source":"convert = {'1F' : 'F1', '2F' : 'F2', '3F' : 'F3', \n '4F' : 'F4', '5F' : 'F5', \n '6F' : 'F6', '7F' : 'F7',\n '8F' : 'F8', '9F' : 'F9',\n 'B'  : 'B1', 'B1' : 'B1',\n 'B2' : 'B2', 'B3' : 'B3', \n 'BF' : 'B1', 'BM' : 'B1', \n 'L1' : 'F1', 'L2' : 'F2', \n 'L3' : 'F3', 'L4' : 'F4',\n 'L5' : 'F5', 'L6' : 'F6',\n 'L7' : 'F7', 'L8' : 'F8',\n 'L9' : 'F9', 'L10': 'F10',\n 'L11': 'F11','G' : 'F1',\n 'LG1': 'F1', 'LG2': 'F2', \n 'LM' : 'F1', 'M'  : 'F1',\n 'P1' : 'F1', 'P2' : 'F2'}","metadata":{"execution":{"iopub.status.busy":"2023-04-30T15:47:43.984899Z","iopub.execute_input":"2023-04-30T15:47:43.985288Z","iopub.status.idle":"2023-04-30T15:47:43.991907Z","shell.execute_reply.started":"2023-04-30T15:47:43.985256Z","shell.execute_reply":"2023-04-30T15:47:43.99091Z"},"trusted":true},"execution_count":103,"outputs":[]},{"cell_type":"code","source":"s_f_df = pd.DataFrame(s_f, columns=train_df.floor.unique(), index=[f\"bulid {i+1}\" for i in range(204)])","metadata":{"execution":{"iopub.status.busy":"2023-04-30T15:52:13.802401Z","iopub.execute_input":"2023-04-30T15:52:13.802778Z","iopub.status.idle":"2023-04-30T15:52:13.811549Z","shell.execute_reply.started":"2023-04-30T15:52:13.802743Z","shell.execute_reply":"2023-04-30T15:52:13.810225Z"},"trusted":true},"execution_count":120,"outputs":[]},{"cell_type":"code","source":"s_c = [\"B3\", \"B2\", \"B1\", \"F1\", \"F2\", \"F3\", \"F4\", \"F5\", \"F6\", \"F7\", \"F8\", \"F9\", \"F10\", \"F11\"]","metadata":{"execution":{"iopub.status.busy":"2023-04-30T15:54:53.100994Z","iopub.execute_input":"2023-04-30T15:54:53.101391Z","iopub.status.idle":"2023-04-30T15:54:53.106216Z","shell.execute_reply.started":"2023-04-30T15:54:53.101351Z","shell.execute_reply":"2023-04-30T15:54:53.105007Z"},"trusted":true},"execution_count":123,"outputs":[]},{"cell_type":"code","source":"s_f_df.loc[:, s_c].T[::-1].style.background_gradient(cmap='Blues', vmin=0, 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           background-color:  #08306b;\n            color:  #f1f1f1;\n        }</style><table id=\"T_7111c_\" ><caption>Number Training Pathes per Floor for Buildings in Test Set</caption><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >bulid 1</th>        <th class=\"col_heading level0 col1\" >bulid 2</th>        <th class=\"col_heading level0 col2\" >bulid 3</th>        <th class=\"col_heading level0 col3\" >bulid 4</th>        <th class=\"col_heading level0 col4\" >bulid 5</th>        <th class=\"col_heading level0 col5\" >bulid 6</th>        <th class=\"col_heading level0 col6\" >bulid 7</th>        <th class=\"col_heading level0 col7\" >bulid 8</th>        <th class=\"col_heading level0 col8\" >bulid 9</th>        <th class=\"col_heading level0 col9\" >bulid 10</th>        <th class=\"col_heading level0 col10\" >bulid 11</th>        <th class=\"col_heading level0 col11\" >bulid 12</th>        <th class=\"col_heading level0 col12\" >bulid 13</th>        <th class=\"col_heading level0 col13\" >bulid 14</th>        <th class=\"col_heading level0 col14\" >bulid 15</th>        <th class=\"col_heading level0 col15\" >bulid 16</th>        <th class=\"col_heading level0 col16\" >bulid 17</th>        <th class=\"col_heading level0 col17\" >bulid 18</th>        <th class=\"col_heading level0 col18\" >bulid 19</th>        <th class=\"col_heading level0 col19\" >bulid 20</th>        <th class=\"col_heading level0 col20\" >bulid 21</th>        <th class=\"col_heading level0 col21\" >bulid 22</th>        <th class=\"col_heading level0 col22\" >bulid 23</th>        <th class=\"col_heading level0 col23\" >bulid 24</th>        <th class=\"col_heading level0 col24\" >bulid 25</th>        <th class=\"col_heading level0 col25\" >bulid 26</th>        <th class=\"col_heading level0 col26\" >bulid 27</th>        <th class=\"col_heading level0 col27\" >bulid 28</th>        <th class=\"col_heading level0 col28\" >bulid 29</th>        <th class=\"col_heading level0 col29\" >bulid 30</th>        <th class=\"col_heading level0 col30\" >bulid 31</th>        <th class=\"col_heading level0 col31\" >bulid 32</th>        <th class=\"col_heading level0 col32\" >bulid 33</th>        <th class=\"col_heading level0 col33\" >bulid 34</th>        <th class=\"col_heading level0 col34\" >bulid 35</th>        <th class=\"col_heading level0 col35\" >bulid 36</th>        <th class=\"col_heading level0 col36\" >bulid 37</th>        <th class=\"col_heading level0 col37\" >bulid 38</th>        <th class=\"col_heading level0 col38\" >bulid 39</th>        <th class=\"col_heading level0 col39\" >bulid 40</th>        <th class=\"col_heading level0 col40\" >bulid 41</th>        <th class=\"col_heading level0 col41\" >bulid 42</th>        <th class=\"col_heading level0 col42\" >bulid 43</th>        <th class=\"col_heading level0 col43\" >bulid 44</th>        <th class=\"col_heading level0 col44\" >bulid 45</th>        <th class=\"col_heading level0 col45\" >bulid 46</th>        <th class=\"col_heading level0 col46\" >bulid 47</th>        <th class=\"col_heading level0 col47\" >bulid 48</th>        <th class=\"col_heading level0 col48\" >bulid 49</th>        <th class=\"col_heading level0 col49\" >bulid 50</th>        <th class=\"col_heading level0 col50\" >bulid 51</th>        <th class=\"col_heading level0 col51\" >bulid 52</th>        <th class=\"col_heading level0 col52\" >bulid 53</th>        <th class=\"col_heading level0 col53\" >bulid 54</th>        <th class=\"col_heading level0 col54\" >bulid 55</th>        <th class=\"col_heading level0 col55\" >bulid 56</th>        <th class=\"col_heading level0 col56\" >bulid 57</th>        <th class=\"col_heading level0 col57\" >bulid 58</th>        <th class=\"col_heading level0 col58\" >bulid 59</th>        <th class=\"col_heading level0 col59\" >bulid 60</th>        <th class=\"col_heading level0 col60\" >bulid 61</th>        <th class=\"col_heading level0 col61\" >bulid 62</th>        <th class=\"col_heading level0 col62\" >bulid 63</th>        <th class=\"col_heading level0 col63\" >bulid 64</th>        <th class=\"col_heading level0 col64\" >bulid 65</th>        <th class=\"col_heading level0 col65\" >bulid 66</th>        <th class=\"col_heading level0 col66\" >bulid 67</th>        <th class=\"col_heading level0 col67\" >bulid 68</th>        <th class=\"col_heading level0 col68\" >bulid 69</th>        <th class=\"col_heading level0 col69\" >bulid 70</th>        <th class=\"col_heading level0 col70\" >bulid 71</th>        <th class=\"col_heading level0 col71\" >bulid 72</th>        <th class=\"col_heading level0 col72\" >bulid 73</th>        <th class=\"col_heading level0 col73\" >bulid 74</th>        <th class=\"col_heading level0 col74\" >bulid 75</th>        <th class=\"col_heading level0 col75\" >bulid 76</th>        <th class=\"col_heading level0 col76\" >bulid 77</th>        <th class=\"col_heading level0 col77\" >bulid 78</th>        <th class=\"col_heading level0 col78\" >bulid 79</th>        <th class=\"col_heading level0 col79\" >bulid 80</th>        <th class=\"col_heading level0 col80\" >bulid 81</th>        <th class=\"col_heading level0 col81\" >bulid 82</th>        <th class=\"col_heading level0 col82\" >bulid 83</th>        <th class=\"col_heading level0 col83\" >bulid 84</th>        <th class=\"col_heading level0 col84\" >bulid 85</th>        <th class=\"col_heading level0 col85\" >bulid 86</th>        <th class=\"col_heading level0 col86\" >bulid 87</th>        <th class=\"col_heading level0 col87\" >bulid 88</th>        <th class=\"col_heading level0 col88\" >bulid 89</th>        <th class=\"col_heading level0 col89\" >bulid 90</th>        <th class=\"col_heading level0 col90\" >bulid 91</th>        <th class=\"col_heading level0 col91\" >bulid 92</th>        <th class=\"col_heading level0 col92\" >bulid 93</th>        <th class=\"col_heading level0 col93\" >bulid 94</th>        <th class=\"col_heading level0 col94\" >bulid 95</th>        <th class=\"col_heading level0 col95\" >bulid 96</th>        <th class=\"col_heading level0 col96\" >bulid 97</th>        <th class=\"col_heading level0 col97\" >bulid 98</th>        <th class=\"col_heading level0 col98\" >bulid 99</th>        <th class=\"col_heading level0 col99\" >bulid 100</th>        <th class=\"col_heading level0 col100\" >bulid 101</th>        <th class=\"col_heading level0 col101\" >bulid 102</th>        <th class=\"col_heading level0 col102\" >bulid 103</th>        <th class=\"col_heading level0 col103\" >bulid 104</th>        <th class=\"col_heading level0 col104\" >bulid 105</th>        <th class=\"col_heading level0 col105\" >bulid 106</th>        <th class=\"col_heading level0 col106\" >bulid 107</th>        <th class=\"col_heading level0 col107\" >bulid 108</th>        <th class=\"col_heading level0 col108\" >bulid 109</th>        <th class=\"col_heading level0 col109\" >bulid 110</th>        <th 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id=\"T_7111c_row0_col176\" class=\"data row0 col176\" >0</td>\n                        <td id=\"T_7111c_row0_col177\" class=\"data row0 col177\" >0</td>\n                        <td id=\"T_7111c_row0_col178\" class=\"data row0 col178\" >0</td>\n                        <td id=\"T_7111c_row0_col179\" class=\"data row0 col179\" >0</td>\n                        <td id=\"T_7111c_row0_col180\" class=\"data row0 col180\" >0</td>\n                        <td id=\"T_7111c_row0_col181\" class=\"data row0 col181\" >0</td>\n                        <td id=\"T_7111c_row0_col182\" class=\"data row0 col182\" >0</td>\n                        <td id=\"T_7111c_row0_col183\" class=\"data row0 col183\" >0</td>\n                        <td id=\"T_7111c_row0_col184\" class=\"data row0 col184\" >0</td>\n                        <td id=\"T_7111c_row0_col185\" class=\"data row0 col185\" >0</td>\n                        <td id=\"T_7111c_row0_col186\" class=\"data row0 col186\" >0</td>\n                        <td id=\"T_7111c_row0_col187\" class=\"data row0 col187\" >0</td>\n                        <td id=\"T_7111c_row0_col188\" class=\"data row0 col188\" >0</td>\n                        <td id=\"T_7111c_row0_col189\" class=\"data row0 col189\" >0</td>\n                        <td id=\"T_7111c_row0_col190\" class=\"data row0 col190\" >0</td>\n                        <td id=\"T_7111c_row0_col191\" class=\"data row0 col191\" >0</td>\n                        <td id=\"T_7111c_row0_col192\" class=\"data row0 col192\" >0</td>\n                        <td id=\"T_7111c_row0_col193\" class=\"data row0 col193\" >0</td>\n                        <td id=\"T_7111c_row0_col194\" class=\"data row0 col194\" >0</td>\n                        <td id=\"T_7111c_row0_col195\" class=\"data row0 col195\" >0</td>\n                        <td id=\"T_7111c_row0_col196\" class=\"data row0 col196\" >0</td>\n                        <td id=\"T_7111c_row0_col197\" class=\"data row0 col197\" >0</td>\n                        <td id=\"T_7111c_row0_col198\" class=\"data row0 col198\" >0</td>\n                        <td id=\"T_7111c_row0_col199\" class=\"data row0 col199\" >0</td>\n                        <td id=\"T_7111c_row0_col200\" class=\"data row0 col200\" >0</td>\n                        <td id=\"T_7111c_row0_col201\" class=\"data row0 col201\" >0</td>\n                        <td id=\"T_7111c_row0_col202\" class=\"data row0 col202\" >0</td>\n                        <td id=\"T_7111c_row0_col203\" class=\"data row0 col203\" >0</td>\n            </tr>\n            <tr>\n                        <th id=\"T_7111c_level0_row1\" class=\"row_heading level0 row1\" >F10</th>\n                        <td id=\"T_7111c_row1_col0\" class=\"data row1 col0\" >0</td>\n                        <td id=\"T_7111c_row1_col1\" class=\"data row1 col1\" >0</td>\n                        <td id=\"T_7111c_row1_col2\" class=\"data row1 col2\" >0</td>\n                        <td id=\"T_7111c_row1_col3\" class=\"data row1 col3\" >0</td>\n                        <td id=\"T_7111c_row1_col4\" class=\"data row1 col4\" >0</td>\n                        <td id=\"T_7111c_row1_col5\" class=\"data row1 col5\" >0</td>\n                        <td id=\"T_7111c_row1_col6\" class=\"data row1 col6\" >0</td>\n                        <td id=\"T_7111c_row1_col7\" class=\"data row1 col7\" >0</td>\n                        <td id=\"T_7111c_row1_col8\" class=\"data row1 col8\" >0</td>\n                        <td id=\"T_7111c_row1_col9\" class=\"data row1 col9\" >0</td>\n                        <td id=\"T_7111c_row1_col10\" class=\"data row1 col10\" >0</td>\n                        <td id=\"T_7111c_row1_col11\" class=\"data row1 col11\" >0</td>\n                        <td id=\"T_7111c_row1_col12\" class=\"data row1 col12\" >0</td>\n                        <td id=\"T_7111c_row1_col13\" class=\"data row1 col13\" >0</td>\n                        <td id=\"T_7111c_row1_col14\" class=\"data row1 col14\" >0</td>\n                        <td id=\"T_7111c_row1_col15\" class=\"data row1 col15\" >0</td>\n                        <td id=\"T_7111c_row1_col16\" class=\"data row1 col16\" >0</td>\n                        <td id=\"T_7111c_row1_col17\" class=\"data row1 col17\" >0</td>\n                        <td id=\"T_7111c_row1_col18\" class=\"data row1 col18\" >0</td>\n                        <td id=\"T_7111c_row1_col19\" class=\"data row1 col19\" >0</td>\n                        <td id=\"T_7111c_row1_col20\" class=\"data row1 col20\" >0</td>\n                        <td id=\"T_7111c_row1_col21\" class=\"data row1 col21\" >0</td>\n                        <td id=\"T_7111c_row1_col22\" class=\"data row1 col22\" >0</td>\n                        <td id=\"T_7111c_row1_col23\" class=\"data row1 col23\" >0</td>\n                        <td id=\"T_7111c_row1_col24\" class=\"data row1 col24\" >0</td>\n                        <td id=\"T_7111c_row1_col25\" class=\"data row1 col25\" >0</td>\n                        <td id=\"T_7111c_row1_col26\" class=\"data row1 col26\" >0</td>\n                        <td id=\"T_7111c_row1_col27\" class=\"data row1 col27\" >0</td>\n                        <td id=\"T_7111c_row1_col28\" class=\"data row1 col28\" >0</td>\n                        <td id=\"T_7111c_row1_col29\" class=\"data row1 col29\" >0</td>\n                        <td id=\"T_7111c_row1_col30\" class=\"data row1 col30\" >0</td>\n                        <td id=\"T_7111c_row1_col31\" class=\"data row1 col31\" >0</td>\n                        <td id=\"T_7111c_row1_col32\" class=\"data row1 col32\" >0</td>\n                        <td id=\"T_7111c_row1_col33\" class=\"data row1 col33\" >0</td>\n                        <td id=\"T_7111c_row1_col34\" class=\"data row1 col34\" >0</td>\n                        <td id=\"T_7111c_row1_col35\" class=\"data row1 col35\" >0</td>\n                        <td id=\"T_7111c_row1_col36\" class=\"data row1 col36\" >0</td>\n                        <td id=\"T_7111c_row1_col37\" class=\"data row1 col37\" >0</td>\n                        <td id=\"T_7111c_row1_col38\" class=\"data row1 col38\" >0</td>\n                        <td id=\"T_7111c_row1_col39\" class=\"data row1 col39\" >0</td>\n                        <td id=\"T_7111c_row1_col40\" class=\"data row1 col40\" >0</td>\n                        <td id=\"T_7111c_row1_col41\" class=\"data row1 col41\" >0</td>\n                        <td id=\"T_7111c_row1_col42\" class=\"data row1 col42\" >1</td>\n                        <td id=\"T_7111c_row1_col43\" class=\"data row1 col43\" >0</td>\n                        <td id=\"T_7111c_row1_col44\" class=\"data row1 col44\" >0</td>\n                        <td id=\"T_7111c_row1_col45\" class=\"data row1 col45\" >0</td>\n                        <td id=\"T_7111c_row1_col46\" class=\"data row1 col46\" >1</td>\n                        <td id=\"T_7111c_row1_col47\" class=\"data row1 col47\" >0</td>\n                        <td id=\"T_7111c_row1_col48\" class=\"data row1 col48\" >0</td>\n                        <td id=\"T_7111c_row1_col49\" class=\"data row1 col49\" >0</td>\n                        <td id=\"T_7111c_row1_col50\" class=\"data row1 col50\" >0</td>\n                        <td id=\"T_7111c_row1_col51\" class=\"data row1 col51\" >0</td>\n                        <td id=\"T_7111c_row1_col52\" class=\"data row1 col52\" >0</td>\n                        <td id=\"T_7111c_row1_col53\" class=\"data row1 col53\" >0</td>\n                        <td id=\"T_7111c_row1_col54\" class=\"data row1 col54\" >0</td>\n                        <td id=\"T_7111c_row1_col55\" class=\"data row1 col55\" >0</td>\n                        <td id=\"T_7111c_row1_col56\" class=\"data row1 col56\" >0</td>\n                        <td id=\"T_7111c_row1_col57\" class=\"data row1 col57\" >0</td>\n                        <td id=\"T_7111c_row1_col58\" class=\"data row1 col58\" >0</td>\n                        <td id=\"T_7111c_row1_col59\" class=\"data row1 col59\" >0</td>\n                        <td id=\"T_7111c_row1_col60\" class=\"data row1 col60\" >0</td>\n                        <td id=\"T_7111c_row1_col61\" class=\"data row1 col61\" >0</td>\n                        <td id=\"T_7111c_row1_col62\" class=\"data row1 col62\" >0</td>\n                        <td id=\"T_7111c_row1_col63\" class=\"data row1 col63\" >0</td>\n                        <td id=\"T_7111c_row1_col64\" class=\"data row1 col64\" >0</td>\n                        <td id=\"T_7111c_row1_col65\" class=\"data row1 col65\" >0</td>\n                        <td id=\"T_7111c_row1_col66\" class=\"data row1 col66\" >0</td>\n                        <td id=\"T_7111c_row1_col67\" class=\"data row1 col67\" >0</td>\n                        <td id=\"T_7111c_row1_col68\" class=\"data row1 col68\" >0</td>\n                        <td id=\"T_7111c_row1_col69\" class=\"data row1 col69\" >0</td>\n                        <td id=\"T_7111c_row1_col70\" class=\"data row1 col70\" >0</td>\n                        <td id=\"T_7111c_row1_col71\" class=\"data row1 col71\" >0</td>\n                        <td id=\"T_7111c_row1_col72\" class=\"data row1 col72\" >0</td>\n                        <td id=\"T_7111c_row1_col73\" class=\"data row1 col73\" >0</td>\n                        <td id=\"T_7111c_row1_col74\" class=\"data row1 col74\" >0</td>\n                        <td id=\"T_7111c_row1_col75\" class=\"data row1 col75\" >0</td>\n                        <td id=\"T_7111c_row1_col76\" class=\"data row1 col76\" >0</td>\n                        <td id=\"T_7111c_row1_col77\" class=\"data row1 col77\" >0</td>\n                        <td id=\"T_7111c_row1_col78\" class=\"data row1 col78\" >0</td>\n                        <td id=\"T_7111c_row1_col79\" class=\"data row1 col79\" >0</td>\n                        <td id=\"T_7111c_row1_col80\" class=\"data row1 col80\" >0</td>\n                        <td id=\"T_7111c_row1_col81\" class=\"data row1 col81\" >0</td>\n                        <td id=\"T_7111c_row1_col82\" class=\"data row1 col82\" >0</td>\n                        <td id=\"T_7111c_row1_col83\" class=\"data row1 col83\" >0</td>\n                        <td id=\"T_7111c_row1_col84\" class=\"data row1 col84\" >0</td>\n                        <td id=\"T_7111c_row1_col85\" class=\"data row1 col85\" >0</td>\n                        <td id=\"T_7111c_row1_col86\" class=\"data row1 col86\" >0</td>\n                        <td id=\"T_7111c_row1_col87\" class=\"data row1 col87\" >0</td>\n                        <td id=\"T_7111c_row1_col88\" class=\"data row1 col88\" >0</td>\n                        <td id=\"T_7111c_row1_col89\" class=\"data row1 col89\" >0</td>\n                        <td id=\"T_7111c_row1_col90\" class=\"data row1 col90\" >0</td>\n                        <td id=\"T_7111c_row1_col91\" class=\"data row1 col91\" >0</td>\n                        <td id=\"T_7111c_row1_col92\" class=\"data row1 col92\" >0</td>\n                        <td id=\"T_7111c_row1_col93\" class=\"data row1 col93\" >0</td>\n                        <td id=\"T_7111c_row1_col94\" class=\"data row1 col94\" >0</td>\n                        <td id=\"T_7111c_row1_col95\" class=\"data row1 col95\" >0</td>\n                        <td id=\"T_7111c_row1_col96\" class=\"data row1 col96\" >0</td>\n                        <td id=\"T_7111c_row1_col97\" class=\"data row1 col97\" >0</td>\n                        <td id=\"T_7111c_row1_col98\" class=\"data row1 col98\" >0</td>\n                        <td id=\"T_7111c_row1_col99\" class=\"data row1 col99\" >0</td>\n                        <td id=\"T_7111c_row1_col100\" class=\"data row1 col100\" >0</td>\n                        <td id=\"T_7111c_row1_col101\" class=\"data row1 col101\" >0</td>\n                        <td id=\"T_7111c_row1_col102\" class=\"data row1 col102\" >0</td>\n                        <td id=\"T_7111c_row1_col103\" class=\"data row1 col103\" >0</td>\n                        <td id=\"T_7111c_row1_col104\" class=\"data row1 col104\" >0</td>\n                        <td id=\"T_7111c_row1_col105\" class=\"data row1 col105\" >0</td>\n                        <td id=\"T_7111c_row1_col106\" class=\"data row1 col106\" >0</td>\n                        <td id=\"T_7111c_row1_col107\" class=\"data row1 col107\" >0</td>\n                        <td id=\"T_7111c_row1_col108\" class=\"data row1 col108\" >0</td>\n                        <td id=\"T_7111c_row1_col109\" class=\"data row1 col109\" >0</td>\n                        <td id=\"T_7111c_row1_col110\" class=\"data row1 col110\" >0</td>\n                        <td id=\"T_7111c_row1_col111\" class=\"data row1 col111\" >0</td>\n                        <td id=\"T_7111c_row1_col112\" class=\"data row1 col112\" >0</td>\n                        <td id=\"T_7111c_row1_col113\" class=\"data row1 col113\" >0</td>\n                        <td id=\"T_7111c_row1_col114\" class=\"data row1 col114\" >0</td>\n                        <td id=\"T_7111c_row1_col115\" class=\"data row1 col115\" >0</td>\n                        <td id=\"T_7111c_row1_col116\" class=\"data row1 col116\" >0</td>\n                        <td id=\"T_7111c_row1_col117\" class=\"data row1 col117\" >0</td>\n                        <td id=\"T_7111c_row1_col118\" class=\"data row1 col118\" >0</td>\n                        <td id=\"T_7111c_row1_col119\" class=\"data row1 col119\" >0</td>\n                        <td id=\"T_7111c_row1_col120\" class=\"data row1 col120\" >0</td>\n                        <td id=\"T_7111c_row1_col121\" class=\"data row1 col121\" >0</td>\n                        <td id=\"T_7111c_row1_col122\" class=\"data row1 col122\" >0</td>\n                        <td id=\"T_7111c_row1_col123\" class=\"data row1 col123\" >0</td>\n                        <td id=\"T_7111c_row1_col124\" class=\"data row1 col124\" >0</td>\n                        <td id=\"T_7111c_row1_col125\" class=\"data row1 col125\" >0</td>\n                        <td id=\"T_7111c_row1_col126\" class=\"data row1 col126\" >0</td>\n                        <td id=\"T_7111c_row1_col127\" class=\"data row1 col127\" >0</td>\n                        <td id=\"T_7111c_row1_col128\" class=\"data row1 col128\" >0</td>\n                        <td id=\"T_7111c_row1_col129\" class=\"data row1 col129\" >0</td>\n                        <td id=\"T_7111c_row1_col130\" class=\"data row1 col130\" >0</td>\n                        <td id=\"T_7111c_row1_col131\" class=\"data row1 col131\" >0</td>\n                        <td id=\"T_7111c_row1_col132\" class=\"data row1 col132\" >0</td>\n                        <td id=\"T_7111c_row1_col133\" class=\"data row1 col133\" >0</td>\n                        <td id=\"T_7111c_row1_col134\" class=\"data row1 col134\" >0</td>\n                        <td id=\"T_7111c_row1_col135\" class=\"data row1 col135\" >0</td>\n                        <td id=\"T_7111c_row1_col136\" class=\"data row1 col136\" >0</td>\n                        <td id=\"T_7111c_row1_col137\" class=\"data row1 col137\" >0</td>\n                        <td id=\"T_7111c_row1_col138\" class=\"data row1 col138\" >0</td>\n                        <td id=\"T_7111c_row1_col139\" class=\"data row1 col139\" >0</td>\n                        <td id=\"T_7111c_row1_col140\" class=\"data row1 col140\" >0</td>\n                        <td id=\"T_7111c_row1_col141\" class=\"data row1 col141\" >0</td>\n                        <td id=\"T_7111c_row1_col142\" class=\"data row1 col142\" >0</td>\n                        <td id=\"T_7111c_row1_col143\" class=\"data row1 col143\" >0</td>\n                        <td id=\"T_7111c_row1_col144\" class=\"data row1 col144\" >0</td>\n                        <td id=\"T_7111c_row1_col145\" class=\"data row1 col145\" >0</td>\n                        <td id=\"T_7111c_row1_col146\" class=\"data row1 col146\" >0</td>\n                        <td id=\"T_7111c_row1_col147\" class=\"data row1 col147\" >0</td>\n                        <td id=\"T_7111c_row1_col148\" class=\"data row1 col148\" >0</td>\n                        <td id=\"T_7111c_row1_col149\" class=\"data row1 col149\" >0</td>\n                        <td id=\"T_7111c_row1_col150\" class=\"data row1 col150\" >0</td>\n                        <td id=\"T_7111c_row1_col151\" class=\"data row1 col151\" >0</td>\n                        <td id=\"T_7111c_row1_col152\" class=\"data row1 col152\" >0</td>\n                        <td id=\"T_7111c_row1_col153\" class=\"data row1 col153\" >0</td>\n                        <td id=\"T_7111c_row1_col154\" class=\"data row1 col154\" >0</td>\n                        <td id=\"T_7111c_row1_col155\" class=\"data row1 col155\" >0</td>\n                        <td id=\"T_7111c_row1_col156\" class=\"data row1 col156\" >0</td>\n                        <td id=\"T_7111c_row1_col157\" class=\"data row1 col157\" >0</td>\n                        <td id=\"T_7111c_row1_col158\" class=\"data row1 col158\" >0</td>\n                        <td id=\"T_7111c_row1_col159\" class=\"data row1 col159\" >0</td>\n                        <td id=\"T_7111c_row1_col160\" class=\"data row1 col160\" >0</td>\n                        <td id=\"T_7111c_row1_col161\" class=\"data row1 col161\" >0</td>\n                        <td id=\"T_7111c_row1_col162\" class=\"data row1 col162\" >0</td>\n                        <td id=\"T_7111c_row1_col163\" class=\"data row1 col163\" >0</td>\n                        <td id=\"T_7111c_row1_col164\" class=\"data row1 col164\" >0</td>\n                        <td id=\"T_7111c_row1_col165\" class=\"data row1 col165\" >0</td>\n                        <td id=\"T_7111c_row1_col166\" class=\"data row1 col166\" >0</td>\n                        <td id=\"T_7111c_row1_col167\" class=\"data row1 col167\" >0</td>\n                        <td id=\"T_7111c_row1_col168\" class=\"data row1 col168\" >0</td>\n                        <td id=\"T_7111c_row1_col169\" class=\"data row1 col169\" >0</td>\n                        <td id=\"T_7111c_row1_col170\" class=\"data row1 col170\" >0</td>\n                        <td id=\"T_7111c_row1_col171\" class=\"data row1 col171\" >0</td>\n                        <td id=\"T_7111c_row1_col172\" class=\"data row1 col172\" >0</td>\n                        <td id=\"T_7111c_row1_col173\" class=\"data row1 col173\" >0</td>\n                        <td id=\"T_7111c_row1_col174\" class=\"data row1 col174\" >0</td>\n                        <td id=\"T_7111c_row1_col175\" class=\"data row1 col175\" >0</td>\n                        <td id=\"T_7111c_row1_col176\" class=\"data row1 col176\" >0</td>\n                        <td id=\"T_7111c_row1_col177\" class=\"data row1 col177\" >0</td>\n                        <td id=\"T_7111c_row1_col178\" class=\"data row1 col178\" >0</td>\n                        <td id=\"T_7111c_row1_col179\" class=\"data row1 col179\" >0</td>\n                        <td id=\"T_7111c_row1_col180\" class=\"data row1 col180\" >0</td>\n                        <td id=\"T_7111c_row1_col181\" class=\"data row1 col181\" >0</td>\n                        <td id=\"T_7111c_row1_col182\" class=\"data row1 col182\" >0</td>\n                        <td id=\"T_7111c_row1_col183\" class=\"data row1 col183\" >0</td>\n                        <td id=\"T_7111c_row1_col184\" class=\"data row1 col184\" >0</td>\n                        <td id=\"T_7111c_row1_col185\" class=\"data row1 col185\" >0</td>\n                        <td id=\"T_7111c_row1_col186\" class=\"data row1 col186\" >0</td>\n                        <td id=\"T_7111c_row1_col187\" class=\"data row1 col187\" >0</td>\n                        <td id=\"T_7111c_row1_col188\" class=\"data row1 col188\" >0</td>\n                        <td id=\"T_7111c_row1_col189\" class=\"data row1 col189\" >0</td>\n                        <td id=\"T_7111c_row1_col190\" class=\"data row1 col190\" >0</td>\n                        <td id=\"T_7111c_row1_col191\" class=\"data row1 col191\" >0</td>\n                        <td id=\"T_7111c_row1_col192\" class=\"data row1 col192\" >0</td>\n                        <td id=\"T_7111c_row1_col193\" class=\"data row1 col193\" >0</td>\n                        <td id=\"T_7111c_row1_col194\" class=\"data row1 col194\" >0</td>\n                        <td id=\"T_7111c_row1_col195\" class=\"data row1 col195\" >0</td>\n                        <td id=\"T_7111c_row1_col196\" class=\"data row1 col196\" >0</td>\n                        <td id=\"T_7111c_row1_col197\" class=\"data row1 col197\" >0</td>\n                        <td id=\"T_7111c_row1_col198\" class=\"data row1 col198\" >0</td>\n                        <td id=\"T_7111c_row1_col199\" class=\"data row1 col199\" >0</td>\n                        <td id=\"T_7111c_row1_col200\" class=\"data row1 col200\" >0</td>\n                        <td id=\"T_7111c_row1_col201\" class=\"data row1 col201\" >0</td>\n                        <td id=\"T_7111c_row1_col202\" class=\"data row1 col202\" >0</td>\n                        <td id=\"T_7111c_row1_col203\" class=\"data row1 col203\" >0</td>\n            </tr>\n            <tr>\n                        <th id=\"T_7111c_level0_row2\" class=\"row_heading level0 row2\" >F9</th>\n                        <td id=\"T_7111c_row2_col0\" class=\"data row2 col0\" >0</td>\n                        <td id=\"T_7111c_row2_col1\" class=\"data row2 col1\" >0</td>\n                        <td id=\"T_7111c_row2_col2\" class=\"data row2 col2\" >0</td>\n                        <td id=\"T_7111c_row2_col3\" class=\"data row2 col3\" >0</td>\n                        <td id=\"T_7111c_row2_col4\" class=\"data row2 col4\" >0</td>\n                        <td id=\"T_7111c_row2_col5\" class=\"data row2 col5\" >0</td>\n                        <td id=\"T_7111c_row2_col6\" class=\"data row2 col6\" >0</td>\n                        <td id=\"T_7111c_row2_col7\" class=\"data row2 col7\" >0</td>\n                        <td id=\"T_7111c_row2_col8\" class=\"data row2 col8\" >0</td>\n                        <td id=\"T_7111c_row2_col9\" class=\"data row2 col9\" >0</td>\n                        <td id=\"T_7111c_row2_col10\" class=\"data row2 col10\" >0</td>\n                        <td id=\"T_7111c_row2_col11\" class=\"data row2 col11\" >0</td>\n                        <td id=\"T_7111c_row2_col12\" class=\"data row2 col12\" >0</td>\n                        <td id=\"T_7111c_row2_col13\" class=\"data row2 col13\" >0</td>\n                        <td id=\"T_7111c_row2_col14\" class=\"data row2 col14\" >0</td>\n                        <td id=\"T_7111c_row2_col15\" class=\"data row2 col15\" >0</td>\n                        <td id=\"T_7111c_row2_col16\" class=\"data row2 col16\" >0</td>\n                        <td id=\"T_7111c_row2_col17\" class=\"data row2 col17\" >0</td>\n                        <td id=\"T_7111c_row2_col18\" class=\"data row2 col18\" >0</td>\n                        <td id=\"T_7111c_row2_col19\" class=\"data row2 col19\" >0</td>\n                        <td id=\"T_7111c_row2_col20\" class=\"data row2 col20\" >0</td>\n                        <td id=\"T_7111c_row2_col21\" class=\"data row2 col21\" >0</td>\n                        <td id=\"T_7111c_row2_col22\" class=\"data row2 col22\" >0</td>\n                        <td id=\"T_7111c_row2_col23\" class=\"data row2 col23\" >0</td>\n                        <td id=\"T_7111c_row2_col24\" class=\"data row2 col24\" >0</td>\n                        <td id=\"T_7111c_row2_col25\" class=\"data row2 col25\" >0</td>\n                        <td id=\"T_7111c_row2_col26\" class=\"data row2 col26\" >0</td>\n                        <td id=\"T_7111c_row2_col27\" class=\"data row2 col27\" >0</td>\n                        <td id=\"T_7111c_row2_col28\" class=\"data row2 col28\" >0</td>\n                        <td id=\"T_7111c_row2_col29\" class=\"data row2 col29\" >0</td>\n                        <td id=\"T_7111c_row2_col30\" class=\"data row2 col30\" >0</td>\n                        <td id=\"T_7111c_row2_col31\" class=\"data row2 col31\" >0</td>\n                        <td id=\"T_7111c_row2_col32\" class=\"data row2 col32\" >0</td>\n                        <td id=\"T_7111c_row2_col33\" class=\"data row2 col33\" >0</td>\n                        <td id=\"T_7111c_row2_col34\" class=\"data row2 col34\" >0</td>\n                        <td id=\"T_7111c_row2_col35\" class=\"data row2 col35\" >0</td>\n                        <td id=\"T_7111c_row2_col36\" class=\"data row2 col36\" >0</td>\n                        <td id=\"T_7111c_row2_col37\" class=\"data row2 col37\" >1</td>\n                        <td id=\"T_7111c_row2_col38\" class=\"data row2 col38\" >0</td>\n                        <td id=\"T_7111c_row2_col39\" class=\"data row2 col39\" >0</td>\n                        <td id=\"T_7111c_row2_col40\" class=\"data row2 col40\" >0</td>\n                        <td id=\"T_7111c_row2_col41\" class=\"data row2 col41\" >0</td>\n                        <td id=\"T_7111c_row2_col42\" class=\"data row2 col42\" >1</td>\n                        <td id=\"T_7111c_row2_col43\" class=\"data row2 col43\" >0</td>\n                        <td id=\"T_7111c_row2_col44\" class=\"data row2 col44\" >0</td>\n                        <td id=\"T_7111c_row2_col45\" class=\"data row2 col45\" >0</td>\n                        <td id=\"T_7111c_row2_col46\" class=\"data row2 col46\" >1</td>\n                        <td id=\"T_7111c_row2_col47\" class=\"data row2 col47\" >0</td>\n                        <td id=\"T_7111c_row2_col48\" class=\"data row2 col48\" >0</td>\n                        <td id=\"T_7111c_row2_col49\" class=\"data row2 col49\" >0</td>\n                        <td id=\"T_7111c_row2_col50\" class=\"data row2 col50\" >0</td>\n                        <td id=\"T_7111c_row2_col51\" class=\"data row2 col51\" >0</td>\n                        <td id=\"T_7111c_row2_col52\" class=\"data row2 col52\" >0</td>\n                        <td id=\"T_7111c_row2_col53\" class=\"data row2 col53\" >0</td>\n                        <td id=\"T_7111c_row2_col54\" class=\"data row2 col54\" >0</td>\n                        <td id=\"T_7111c_row2_col55\" class=\"data row2 col55\" >0</td>\n                        <td id=\"T_7111c_row2_col56\" class=\"data row2 col56\" >0</td>\n                        <td id=\"T_7111c_row2_col57\" class=\"data row2 col57\" >0</td>\n                        <td id=\"T_7111c_row2_col58\" class=\"data row2 col58\" >0</td>\n                        <td id=\"T_7111c_row2_col59\" class=\"data row2 col59\" >0</td>\n                        <td id=\"T_7111c_row2_col60\" class=\"data row2 col60\" >0</td>\n                        <td id=\"T_7111c_row2_col61\" class=\"data row2 col61\" >0</td>\n                        <td id=\"T_7111c_row2_col62\" class=\"data row2 col62\" >0</td>\n                        <td id=\"T_7111c_row2_col63\" class=\"data row2 col63\" >0</td>\n                        <td id=\"T_7111c_row2_col64\" class=\"data row2 col64\" >0</td>\n                        <td id=\"T_7111c_row2_col65\" class=\"data row2 col65\" >0</td>\n                        <td id=\"T_7111c_row2_col66\" class=\"data row2 col66\" >0</td>\n                        <td id=\"T_7111c_row2_col67\" class=\"data row2 col67\" >0</td>\n                        <td id=\"T_7111c_row2_col68\" class=\"data row2 col68\" >0</td>\n                        <td id=\"T_7111c_row2_col69\" class=\"data row2 col69\" >0</td>\n                        <td id=\"T_7111c_row2_col70\" class=\"data row2 col70\" >0</td>\n                        <td id=\"T_7111c_row2_col71\" class=\"data row2 col71\" >0</td>\n                        <td id=\"T_7111c_row2_col72\" class=\"data row2 col72\" >0</td>\n                        <td id=\"T_7111c_row2_col73\" class=\"data row2 col73\" >0</td>\n                        <td id=\"T_7111c_row2_col74\" class=\"data row2 col74\" >0</td>\n                        <td id=\"T_7111c_row2_col75\" class=\"data row2 col75\" >0</td>\n                        <td id=\"T_7111c_row2_col76\" class=\"data row2 col76\" >0</td>\n                        <td id=\"T_7111c_row2_col77\" class=\"data row2 col77\" >0</td>\n                        <td id=\"T_7111c_row2_col78\" class=\"data row2 col78\" >0</td>\n                        <td id=\"T_7111c_row2_col79\" class=\"data row2 col79\" >0</td>\n                        <td id=\"T_7111c_row2_col80\" class=\"data row2 col80\" >0</td>\n                        <td id=\"T_7111c_row2_col81\" class=\"data row2 col81\" >0</td>\n                        <td id=\"T_7111c_row2_col82\" class=\"data row2 col82\" >0</td>\n                        <td id=\"T_7111c_row2_col83\" class=\"data row2 col83\" >0</td>\n                        <td id=\"T_7111c_row2_col84\" class=\"data row2 col84\" >0</td>\n                        <td id=\"T_7111c_row2_col85\" class=\"data row2 col85\" >0</td>\n                        <td id=\"T_7111c_row2_col86\" class=\"data row2 col86\" >0</td>\n                        <td id=\"T_7111c_row2_col87\" class=\"data row2 col87\" >0</td>\n                        <td id=\"T_7111c_row2_col88\" class=\"data row2 col88\" >0</td>\n                        <td id=\"T_7111c_row2_col89\" class=\"data row2 col89\" >0</td>\n                        <td id=\"T_7111c_row2_col90\" class=\"data row2 col90\" >0</td>\n                        <td id=\"T_7111c_row2_col91\" class=\"data row2 col91\" >0</td>\n                        <td id=\"T_7111c_row2_col92\" class=\"data row2 col92\" >0</td>\n                        <td id=\"T_7111c_row2_col93\" class=\"data row2 col93\" >0</td>\n                        <td id=\"T_7111c_row2_col94\" class=\"data row2 col94\" >0</td>\n                        <td id=\"T_7111c_row2_col95\" class=\"data row2 col95\" >0</td>\n                        <td id=\"T_7111c_row2_col96\" class=\"data row2 col96\" >0</td>\n                        <td id=\"T_7111c_row2_col97\" class=\"data row2 col97\" >0</td>\n                        <td id=\"T_7111c_row2_col98\" class=\"data row2 col98\" >0</td>\n                        <td id=\"T_7111c_row2_col99\" class=\"data row2 col99\" >0</td>\n                        <td id=\"T_7111c_row2_col100\" class=\"data row2 col100\" >0</td>\n                        <td id=\"T_7111c_row2_col101\" class=\"data row2 col101\" >0</td>\n                        <td id=\"T_7111c_row2_col102\" class=\"data row2 col102\" >0</td>\n                        <td id=\"T_7111c_row2_col103\" class=\"data row2 col103\" >0</td>\n                        <td id=\"T_7111c_row2_col104\" class=\"data row2 col104\" >1</td>\n                        <td id=\"T_7111c_row2_col105\" class=\"data row2 col105\" >0</td>\n                        <td id=\"T_7111c_row2_col106\" class=\"data row2 col106\" >0</td>\n                        <td id=\"T_7111c_row2_col107\" class=\"data row2 col107\" >0</td>\n                        <td id=\"T_7111c_row2_col108\" class=\"data row2 col108\" >0</td>\n                        <td id=\"T_7111c_row2_col109\" class=\"data row2 col109\" >0</td>\n                        <td id=\"T_7111c_row2_col110\" class=\"data row2 col110\" >0</td>\n                        <td id=\"T_7111c_row2_col111\" class=\"data row2 col111\" >0</td>\n                        <td id=\"T_7111c_row2_col112\" class=\"data row2 col112\" >0</td>\n                        <td id=\"T_7111c_row2_col113\" class=\"data row2 col113\" >0</td>\n                        <td id=\"T_7111c_row2_col114\" class=\"data row2 col114\" >0</td>\n                        <td id=\"T_7111c_row2_col115\" class=\"data row2 col115\" >0</td>\n                        <td id=\"T_7111c_row2_col116\" class=\"data row2 col116\" >0</td>\n                        <td id=\"T_7111c_row2_col117\" class=\"data row2 col117\" >0</td>\n                        <td id=\"T_7111c_row2_col118\" class=\"data row2 col118\" >0</td>\n                        <td id=\"T_7111c_row2_col119\" class=\"data row2 col119\" >0</td>\n                        <td id=\"T_7111c_row2_col120\" class=\"data row2 col120\" >0</td>\n                        <td id=\"T_7111c_row2_col121\" class=\"data row2 col121\" >0</td>\n                        <td id=\"T_7111c_row2_col122\" class=\"data row2 col122\" >0</td>\n                        <td id=\"T_7111c_row2_col123\" class=\"data row2 col123\" >0</td>\n                        <td id=\"T_7111c_row2_col124\" class=\"data row2 col124\" >0</td>\n                        <td id=\"T_7111c_row2_col125\" class=\"data row2 col125\" >0</td>\n                        <td id=\"T_7111c_row2_col126\" class=\"data row2 col126\" >0</td>\n                        <td id=\"T_7111c_row2_col127\" class=\"data row2 col127\" >0</td>\n                        <td id=\"T_7111c_row2_col128\" class=\"data row2 col128\" >0</td>\n                        <td id=\"T_7111c_row2_col129\" class=\"data row2 col129\" >0</td>\n                        <td id=\"T_7111c_row2_col130\" class=\"data row2 col130\" >0</td>\n                        <td id=\"T_7111c_row2_col131\" class=\"data row2 col131\" >0</td>\n                        <td id=\"T_7111c_row2_col132\" class=\"data row2 col132\" >0</td>\n                        <td id=\"T_7111c_row2_col133\" class=\"data row2 col133\" >0</td>\n                        <td id=\"T_7111c_row2_col134\" class=\"data row2 col134\" >0</td>\n                        <td id=\"T_7111c_row2_col135\" class=\"data row2 col135\" >0</td>\n                        <td id=\"T_7111c_row2_col136\" class=\"data row2 col136\" >0</td>\n                        <td id=\"T_7111c_row2_col137\" class=\"data row2 col137\" >0</td>\n                        <td id=\"T_7111c_row2_col138\" class=\"data row2 col138\" >0</td>\n                        <td id=\"T_7111c_row2_col139\" class=\"data row2 col139\" >0</td>\n                        <td id=\"T_7111c_row2_col140\" class=\"data row2 col140\" >0</td>\n                        <td id=\"T_7111c_row2_col141\" class=\"data row2 col141\" >0</td>\n                        <td id=\"T_7111c_row2_col142\" class=\"data row2 col142\" >0</td>\n                        <td id=\"T_7111c_row2_col143\" class=\"data row2 col143\" >0</td>\n                        <td id=\"T_7111c_row2_col144\" class=\"data row2 col144\" >0</td>\n                        <td id=\"T_7111c_row2_col145\" class=\"data row2 col145\" >0</td>\n                        <td id=\"T_7111c_row2_col146\" class=\"data row2 col146\" >0</td>\n                        <td id=\"T_7111c_row2_col147\" class=\"data row2 col147\" >0</td>\n                        <td id=\"T_7111c_row2_col148\" class=\"data row2 col148\" >0</td>\n                        <td id=\"T_7111c_row2_col149\" class=\"data row2 col149\" >0</td>\n                        <td id=\"T_7111c_row2_col150\" class=\"data row2 col150\" >0</td>\n                        <td id=\"T_7111c_row2_col151\" class=\"data row2 col151\" >0</td>\n                        <td id=\"T_7111c_row2_col152\" class=\"data row2 col152\" >0</td>\n                        <td id=\"T_7111c_row2_col153\" class=\"data row2 col153\" >0</td>\n                        <td id=\"T_7111c_row2_col154\" class=\"data row2 col154\" >0</td>\n                        <td id=\"T_7111c_row2_col155\" class=\"data row2 col155\" >0</td>\n                        <td id=\"T_7111c_row2_col156\" class=\"data row2 col156\" >0</td>\n                        <td id=\"T_7111c_row2_col157\" class=\"data row2 col157\" >0</td>\n                        <td id=\"T_7111c_row2_col158\" class=\"data row2 col158\" >0</td>\n                        <td id=\"T_7111c_row2_col159\" class=\"data row2 col159\" >0</td>\n                        <td id=\"T_7111c_row2_col160\" class=\"data row2 col160\" >0</td>\n                        <td id=\"T_7111c_row2_col161\" class=\"data row2 col161\" >0</td>\n                        <td id=\"T_7111c_row2_col162\" class=\"data row2 col162\" >0</td>\n                        <td id=\"T_7111c_row2_col163\" class=\"data row2 col163\" >0</td>\n                        <td id=\"T_7111c_row2_col164\" class=\"data row2 col164\" >0</td>\n                        <td id=\"T_7111c_row2_col165\" class=\"data row2 col165\" >0</td>\n                        <td id=\"T_7111c_row2_col166\" class=\"data row2 col166\" >1</td>\n                        <td id=\"T_7111c_row2_col167\" class=\"data row2 col167\" >0</td>\n                        <td id=\"T_7111c_row2_col168\" class=\"data row2 col168\" >0</td>\n                        <td id=\"T_7111c_row2_col169\" class=\"data row2 col169\" >0</td>\n                        <td id=\"T_7111c_row2_col170\" class=\"data row2 col170\" >0</td>\n                        <td id=\"T_7111c_row2_col171\" class=\"data row2 col171\" >0</td>\n                        <td id=\"T_7111c_row2_col172\" class=\"data row2 col172\" >0</td>\n                        <td id=\"T_7111c_row2_col173\" class=\"data row2 col173\" >0</td>\n                        <td id=\"T_7111c_row2_col174\" class=\"data row2 col174\" >0</td>\n                        <td id=\"T_7111c_row2_col175\" class=\"data row2 col175\" >0</td>\n                        <td id=\"T_7111c_row2_col176\" class=\"data row2 col176\" >0</td>\n                        <td id=\"T_7111c_row2_col177\" class=\"data row2 col177\" >0</td>\n                        <td id=\"T_7111c_row2_col178\" class=\"data row2 col178\" >0</td>\n                        <td id=\"T_7111c_row2_col179\" class=\"data row2 col179\" >0</td>\n                        <td id=\"T_7111c_row2_col180\" class=\"data row2 col180\" >0</td>\n                        <td id=\"T_7111c_row2_col181\" class=\"data row2 col181\" >0</td>\n                        <td id=\"T_7111c_row2_col182\" class=\"data row2 col182\" >0</td>\n                        <td id=\"T_7111c_row2_col183\" class=\"data row2 col183\" >0</td>\n                        <td id=\"T_7111c_row2_col184\" class=\"data row2 col184\" >0</td>\n                        <td id=\"T_7111c_row2_col185\" class=\"data row2 col185\" >0</td>\n                        <td id=\"T_7111c_row2_col186\" class=\"data row2 col186\" >0</td>\n                        <td id=\"T_7111c_row2_col187\" class=\"data row2 col187\" >0</td>\n                        <td id=\"T_7111c_row2_col188\" class=\"data row2 col188\" >0</td>\n                        <td id=\"T_7111c_row2_col189\" class=\"data row2 col189\" >0</td>\n                        <td id=\"T_7111c_row2_col190\" class=\"data row2 col190\" >0</td>\n                        <td id=\"T_7111c_row2_col191\" class=\"data row2 col191\" >0</td>\n                        <td id=\"T_7111c_row2_col192\" class=\"data row2 col192\" >1</td>\n                        <td id=\"T_7111c_row2_col193\" class=\"data row2 col193\" >0</td>\n                        <td id=\"T_7111c_row2_col194\" class=\"data row2 col194\" >0</td>\n                        <td id=\"T_7111c_row2_col195\" class=\"data row2 col195\" >0</td>\n                        <td id=\"T_7111c_row2_col196\" class=\"data row2 col196\" >0</td>\n                        <td id=\"T_7111c_row2_col197\" class=\"data row2 col197\" >0</td>\n                        <td id=\"T_7111c_row2_col198\" class=\"data row2 col198\" >0</td>\n                        <td id=\"T_7111c_row2_col199\" class=\"data row2 col199\" >0</td>\n                        <td id=\"T_7111c_row2_col200\" class=\"data row2 col200\" >0</td>\n                        <td id=\"T_7111c_row2_col201\" class=\"data row2 col201\" >0</td>\n                        <td id=\"T_7111c_row2_col202\" class=\"data row2 col202\" >0</td>\n                        <td id=\"T_7111c_row2_col203\" class=\"data row2 col203\" >0</td>\n            </tr>\n            <tr>\n                        <th id=\"T_7111c_level0_row3\" class=\"row_heading level0 row3\" >F8</th>\n                        <td id=\"T_7111c_row3_col0\" class=\"data row3 col0\" >0</td>\n                        <td id=\"T_7111c_row3_col1\" class=\"data row3 col1\" >0</td>\n                        <td id=\"T_7111c_row3_col2\" class=\"data row3 col2\" >0</td>\n                        <td id=\"T_7111c_row3_col3\" class=\"data row3 col3\" >0</td>\n                        <td id=\"T_7111c_row3_col4\" class=\"data row3 col4\" >0</td>\n                        <td id=\"T_7111c_row3_col5\" class=\"data row3 col5\" >0</td>\n                        <td id=\"T_7111c_row3_col6\" class=\"data row3 col6\" >0</td>\n                        <td id=\"T_7111c_row3_col7\" class=\"data row3 col7\" >0</td>\n                        <td id=\"T_7111c_row3_col8\" class=\"data row3 col8\" >0</td>\n                        <td id=\"T_7111c_row3_col9\" class=\"data row3 col9\" >0</td>\n                        <td id=\"T_7111c_row3_col10\" class=\"data row3 col10\" >0</td>\n                        <td id=\"T_7111c_row3_col11\" class=\"data row3 col11\" >0</td>\n                        <td id=\"T_7111c_row3_col12\" class=\"data row3 col12\" >0</td>\n                        <td id=\"T_7111c_row3_col13\" class=\"data row3 col13\" >0</td>\n                        <td id=\"T_7111c_row3_col14\" class=\"data row3 col14\" >0</td>\n                        <td id=\"T_7111c_row3_col15\" class=\"data row3 col15\" >0</td>\n                        <td id=\"T_7111c_row3_col16\" class=\"data row3 col16\" >0</td>\n                        <td id=\"T_7111c_row3_col17\" class=\"data row3 col17\" >0</td>\n                        <td id=\"T_7111c_row3_col18\" class=\"data row3 col18\" >0</td>\n                        <td id=\"T_7111c_row3_col19\" class=\"data row3 col19\" >0</td>\n                        <td id=\"T_7111c_row3_col20\" class=\"data row3 col20\" >0</td>\n                        <td id=\"T_7111c_row3_col21\" class=\"data row3 col21\" >0</td>\n                        <td id=\"T_7111c_row3_col22\" class=\"data row3 col22\" >0</td>\n                        <td id=\"T_7111c_row3_col23\" class=\"data row3 col23\" >0</td>\n                        <td id=\"T_7111c_row3_col24\" class=\"data row3 col24\" >0</td>\n                        <td id=\"T_7111c_row3_col25\" class=\"data row3 col25\" >0</td>\n                        <td id=\"T_7111c_row3_col26\" class=\"data row3 col26\" >0</td>\n                        <td id=\"T_7111c_row3_col27\" class=\"data row3 col27\" >0</td>\n                        <td id=\"T_7111c_row3_col28\" class=\"data row3 col28\" >0</td>\n                        <td id=\"T_7111c_row3_col29\" class=\"data row3 col29\" >0</td>\n                        <td id=\"T_7111c_row3_col30\" class=\"data row3 col30\" >0</td>\n                        <td id=\"T_7111c_row3_col31\" class=\"data row3 col31\" >0</td>\n                        <td id=\"T_7111c_row3_col32\" class=\"data row3 col32\" >0</td>\n                        <td id=\"T_7111c_row3_col33\" class=\"data row3 col33\" >0</td>\n                        <td id=\"T_7111c_row3_col34\" class=\"data row3 col34\" >0</td>\n                        <td id=\"T_7111c_row3_col35\" class=\"data row3 col35\" >0</td>\n                        <td id=\"T_7111c_row3_col36\" class=\"data row3 col36\" >0</td>\n                        <td id=\"T_7111c_row3_col37\" class=\"data row3 col37\" >1</td>\n                        <td id=\"T_7111c_row3_col38\" class=\"data row3 col38\" >0</td>\n                        <td id=\"T_7111c_row3_col39\" class=\"data row3 col39\" >0</td>\n                        <td id=\"T_7111c_row3_col40\" class=\"data row3 col40\" >0</td>\n                        <td id=\"T_7111c_row3_col41\" class=\"data row3 col41\" >0</td>\n                        <td id=\"T_7111c_row3_col42\" class=\"data row3 col42\" >1</td>\n                        <td id=\"T_7111c_row3_col43\" class=\"data row3 col43\" >0</td>\n                        <td id=\"T_7111c_row3_col44\" class=\"data row3 col44\" >0</td>\n                        <td id=\"T_7111c_row3_col45\" class=\"data row3 col45\" >0</td>\n                        <td id=\"T_7111c_row3_col46\" class=\"data row3 col46\" >1</td>\n                        <td id=\"T_7111c_row3_col47\" class=\"data row3 col47\" >0</td>\n                        <td id=\"T_7111c_row3_col48\" class=\"data row3 col48\" >0</td>\n                        <td id=\"T_7111c_row3_col49\" class=\"data row3 col49\" >0</td>\n                        <td id=\"T_7111c_row3_col50\" class=\"data row3 col50\" >1</td>\n                        <td id=\"T_7111c_row3_col51\" class=\"data row3 col51\" >0</td>\n                        <td id=\"T_7111c_row3_col52\" class=\"data row3 col52\" >0</td>\n                        <td id=\"T_7111c_row3_col53\" class=\"data row3 col53\" >0</td>\n                        <td id=\"T_7111c_row3_col54\" class=\"data row3 col54\" >0</td>\n                        <td id=\"T_7111c_row3_col55\" class=\"data row3 col55\" >0</td>\n                        <td id=\"T_7111c_row3_col56\" class=\"data row3 col56\" >0</td>\n                        <td id=\"T_7111c_row3_col57\" class=\"data row3 col57\" >0</td>\n                        <td id=\"T_7111c_row3_col58\" class=\"data row3 col58\" >0</td>\n                        <td id=\"T_7111c_row3_col59\" class=\"data row3 col59\" >0</td>\n                        <td id=\"T_7111c_row3_col60\" class=\"data row3 col60\" >0</td>\n                        <td id=\"T_7111c_row3_col61\" class=\"data row3 col61\" >0</td>\n                        <td id=\"T_7111c_row3_col62\" class=\"data row3 col62\" >0</td>\n                        <td id=\"T_7111c_row3_col63\" class=\"data row3 col63\" >0</td>\n                        <td id=\"T_7111c_row3_col64\" class=\"data row3 col64\" >0</td>\n                        <td id=\"T_7111c_row3_col65\" class=\"data row3 col65\" >0</td>\n                        <td id=\"T_7111c_row3_col66\" class=\"data row3 col66\" >0</td>\n                        <td id=\"T_7111c_row3_col67\" class=\"data row3 col67\" >0</td>\n                        <td id=\"T_7111c_row3_col68\" class=\"data row3 col68\" >0</td>\n                        <td id=\"T_7111c_row3_col69\" class=\"data row3 col69\" >0</td>\n                        <td id=\"T_7111c_row3_col70\" class=\"data row3 col70\" >0</td>\n                        <td id=\"T_7111c_row3_col71\" class=\"data row3 col71\" >0</td>\n                        <td id=\"T_7111c_row3_col72\" class=\"data row3 col72\" >0</td>\n                        <td id=\"T_7111c_row3_col73\" class=\"data row3 col73\" >0</td>\n                        <td id=\"T_7111c_row3_col74\" class=\"data row3 col74\" >0</td>\n                        <td id=\"T_7111c_row3_col75\" class=\"data row3 col75\" >0</td>\n                        <td id=\"T_7111c_row3_col76\" class=\"data row3 col76\" >0</td>\n                        <td id=\"T_7111c_row3_col77\" class=\"data row3 col77\" >0</td>\n                        <td id=\"T_7111c_row3_col78\" class=\"data row3 col78\" >0</td>\n                        <td id=\"T_7111c_row3_col79\" class=\"data row3 col79\" >0</td>\n                        <td id=\"T_7111c_row3_col80\" class=\"data row3 col80\" >0</td>\n                        <td id=\"T_7111c_row3_col81\" class=\"data row3 col81\" >0</td>\n                        <td id=\"T_7111c_row3_col82\" class=\"data row3 col82\" >0</td>\n                        <td id=\"T_7111c_row3_col83\" class=\"data row3 col83\" >0</td>\n                        <td id=\"T_7111c_row3_col84\" class=\"data row3 col84\" >0</td>\n                        <td id=\"T_7111c_row3_col85\" class=\"data row3 col85\" >1</td>\n                        <td id=\"T_7111c_row3_col86\" class=\"data row3 col86\" >0</td>\n                        <td id=\"T_7111c_row3_col87\" class=\"data row3 col87\" >0</td>\n                        <td id=\"T_7111c_row3_col88\" class=\"data row3 col88\" >0</td>\n                        <td id=\"T_7111c_row3_col89\" class=\"data row3 col89\" >0</td>\n                        <td id=\"T_7111c_row3_col90\" class=\"data row3 col90\" >0</td>\n                        <td id=\"T_7111c_row3_col91\" class=\"data row3 col91\" >0</td>\n                        <td id=\"T_7111c_row3_col92\" class=\"data row3 col92\" >0</td>\n                        <td id=\"T_7111c_row3_col93\" class=\"data row3 col93\" >0</td>\n                        <td id=\"T_7111c_row3_col94\" class=\"data row3 col94\" >0</td>\n                        <td id=\"T_7111c_row3_col95\" class=\"data row3 col95\" >0</td>\n                        <td id=\"T_7111c_row3_col96\" class=\"data row3 col96\" >0</td>\n                        <td id=\"T_7111c_row3_col97\" class=\"data row3 col97\" >0</td>\n                        <td id=\"T_7111c_row3_col98\" class=\"data row3 col98\" >0</td>\n                        <td id=\"T_7111c_row3_col99\" class=\"data row3 col99\" >0</td>\n                        <td id=\"T_7111c_row3_col100\" class=\"data row3 col100\" >0</td>\n                        <td id=\"T_7111c_row3_col101\" class=\"data row3 col101\" >0</td>\n                        <td id=\"T_7111c_row3_col102\" class=\"data row3 col102\" >0</td>\n                        <td id=\"T_7111c_row3_col103\" class=\"data row3 col103\" >0</td>\n                        <td id=\"T_7111c_row3_col104\" class=\"data row3 col104\" >1</td>\n                        <td id=\"T_7111c_row3_col105\" class=\"data row3 col105\" >0</td>\n                        <td id=\"T_7111c_row3_col106\" class=\"data row3 col106\" >0</td>\n                        <td id=\"T_7111c_row3_col107\" class=\"data row3 col107\" >0</td>\n                        <td id=\"T_7111c_row3_col108\" class=\"data row3 col108\" >0</td>\n                        <td id=\"T_7111c_row3_col109\" class=\"data row3 col109\" >0</td>\n                        <td id=\"T_7111c_row3_col110\" class=\"data row3 col110\" >0</td>\n                        <td id=\"T_7111c_row3_col111\" class=\"data row3 col111\" >0</td>\n                        <td id=\"T_7111c_row3_col112\" class=\"data row3 col112\" >0</td>\n                        <td id=\"T_7111c_row3_col113\" class=\"data row3 col113\" >0</td>\n                        <td id=\"T_7111c_row3_col114\" class=\"data row3 col114\" >0</td>\n                        <td id=\"T_7111c_row3_col115\" class=\"data row3 col115\" >0</td>\n                        <td id=\"T_7111c_row3_col116\" class=\"data row3 col116\" >0</td>\n                        <td id=\"T_7111c_row3_col117\" class=\"data row3 col117\" >0</td>\n                        <td id=\"T_7111c_row3_col118\" class=\"data row3 col118\" >0</td>\n                        <td id=\"T_7111c_row3_col119\" class=\"data row3 col119\" >0</td>\n                        <td id=\"T_7111c_row3_col120\" class=\"data row3 col120\" >0</td>\n                        <td id=\"T_7111c_row3_col121\" class=\"data row3 col121\" >0</td>\n                        <td id=\"T_7111c_row3_col122\" class=\"data row3 col122\" >0</td>\n                        <td id=\"T_7111c_row3_col123\" class=\"data row3 col123\" >0</td>\n                        <td id=\"T_7111c_row3_col124\" class=\"data row3 col124\" >0</td>\n                        <td id=\"T_7111c_row3_col125\" class=\"data row3 col125\" >0</td>\n                        <td id=\"T_7111c_row3_col126\" class=\"data row3 col126\" >0</td>\n                        <td id=\"T_7111c_row3_col127\" class=\"data row3 col127\" >0</td>\n                        <td id=\"T_7111c_row3_col128\" class=\"data row3 col128\" >0</td>\n                        <td id=\"T_7111c_row3_col129\" class=\"data row3 col129\" >0</td>\n                        <td id=\"T_7111c_row3_col130\" class=\"data row3 col130\" >0</td>\n                        <td id=\"T_7111c_row3_col131\" class=\"data row3 col131\" >0</td>\n                        <td id=\"T_7111c_row3_col132\" class=\"data row3 col132\" >0</td>\n                        <td id=\"T_7111c_row3_col133\" class=\"data row3 col133\" >0</td>\n                        <td id=\"T_7111c_row3_col134\" class=\"data row3 col134\" >0</td>\n                        <td id=\"T_7111c_row3_col135\" class=\"data row3 col135\" >0</td>\n                        <td id=\"T_7111c_row3_col136\" class=\"data row3 col136\" >0</td>\n                        <td id=\"T_7111c_row3_col137\" class=\"data row3 col137\" >0</td>\n                        <td id=\"T_7111c_row3_col138\" class=\"data row3 col138\" >0</td>\n                        <td id=\"T_7111c_row3_col139\" class=\"data row3 col139\" >0</td>\n                        <td id=\"T_7111c_row3_col140\" class=\"data row3 col140\" >0</td>\n                        <td id=\"T_7111c_row3_col141\" class=\"data row3 col141\" >0</td>\n                        <td id=\"T_7111c_row3_col142\" class=\"data row3 col142\" >0</td>\n                        <td id=\"T_7111c_row3_col143\" class=\"data row3 col143\" >0</td>\n                        <td id=\"T_7111c_row3_col144\" class=\"data row3 col144\" >0</td>\n                        <td id=\"T_7111c_row3_col145\" class=\"data row3 col145\" >0</td>\n                        <td id=\"T_7111c_row3_col146\" class=\"data row3 col146\" >0</td>\n                        <td id=\"T_7111c_row3_col147\" class=\"data row3 col147\" >0</td>\n                        <td id=\"T_7111c_row3_col148\" class=\"data row3 col148\" >0</td>\n                        <td id=\"T_7111c_row3_col149\" class=\"data row3 col149\" >0</td>\n                        <td id=\"T_7111c_row3_col150\" class=\"data row3 col150\" >0</td>\n                        <td id=\"T_7111c_row3_col151\" class=\"data row3 col151\" >0</td>\n                        <td id=\"T_7111c_row3_col152\" class=\"data row3 col152\" >0</td>\n                        <td id=\"T_7111c_row3_col153\" class=\"data row3 col153\" >0</td>\n                        <td id=\"T_7111c_row3_col154\" class=\"data row3 col154\" >0</td>\n                        <td id=\"T_7111c_row3_col155\" class=\"data row3 col155\" >0</td>\n                        <td id=\"T_7111c_row3_col156\" class=\"data row3 col156\" >0</td>\n                        <td id=\"T_7111c_row3_col157\" class=\"data row3 col157\" >0</td>\n                        <td id=\"T_7111c_row3_col158\" class=\"data row3 col158\" >0</td>\n                        <td id=\"T_7111c_row3_col159\" class=\"data row3 col159\" >0</td>\n                        <td id=\"T_7111c_row3_col160\" class=\"data row3 col160\" >0</td>\n                        <td id=\"T_7111c_row3_col161\" class=\"data row3 col161\" >0</td>\n                        <td id=\"T_7111c_row3_col162\" class=\"data row3 col162\" >1</td>\n                        <td id=\"T_7111c_row3_col163\" class=\"data row3 col163\" >0</td>\n                        <td id=\"T_7111c_row3_col164\" class=\"data row3 col164\" >0</td>\n                        <td id=\"T_7111c_row3_col165\" class=\"data row3 col165\" >0</td>\n                        <td id=\"T_7111c_row3_col166\" class=\"data row3 col166\" >1</td>\n                        <td id=\"T_7111c_row3_col167\" class=\"data row3 col167\" >0</td>\n                        <td id=\"T_7111c_row3_col168\" class=\"data row3 col168\" >0</td>\n                        <td id=\"T_7111c_row3_col169\" class=\"data row3 col169\" >0</td>\n                        <td id=\"T_7111c_row3_col170\" class=\"data row3 col170\" >0</td>\n                        <td id=\"T_7111c_row3_col171\" class=\"data row3 col171\" >0</td>\n                        <td id=\"T_7111c_row3_col172\" class=\"data row3 col172\" >0</td>\n                        <td id=\"T_7111c_row3_col173\" class=\"data row3 col173\" >0</td>\n                        <td id=\"T_7111c_row3_col174\" class=\"data row3 col174\" >0</td>\n                        <td id=\"T_7111c_row3_col175\" class=\"data row3 col175\" >0</td>\n                        <td id=\"T_7111c_row3_col176\" class=\"data row3 col176\" >0</td>\n                        <td id=\"T_7111c_row3_col177\" class=\"data row3 col177\" >0</td>\n                        <td id=\"T_7111c_row3_col178\" class=\"data row3 col178\" >1</td>\n                        <td id=\"T_7111c_row3_col179\" class=\"data row3 col179\" >0</td>\n                        <td id=\"T_7111c_row3_col180\" class=\"data row3 col180\" >0</td>\n                        <td id=\"T_7111c_row3_col181\" class=\"data row3 col181\" >0</td>\n                        <td id=\"T_7111c_row3_col182\" class=\"data row3 col182\" >0</td>\n                        <td id=\"T_7111c_row3_col183\" class=\"data row3 col183\" >0</td>\n                        <td id=\"T_7111c_row3_col184\" class=\"data row3 col184\" >0</td>\n                        <td id=\"T_7111c_row3_col185\" class=\"data row3 col185\" >0</td>\n                        <td id=\"T_7111c_row3_col186\" class=\"data row3 col186\" >0</td>\n                        <td id=\"T_7111c_row3_col187\" class=\"data row3 col187\" >0</td>\n                        <td id=\"T_7111c_row3_col188\" class=\"data row3 col188\" >0</td>\n                        <td id=\"T_7111c_row3_col189\" class=\"data row3 col189\" >0</td>\n                        <td id=\"T_7111c_row3_col190\" class=\"data row3 col190\" >0</td>\n                        <td id=\"T_7111c_row3_col191\" class=\"data row3 col191\" >0</td>\n                        <td id=\"T_7111c_row3_col192\" class=\"data row3 col192\" >1</td>\n                        <td id=\"T_7111c_row3_col193\" class=\"data row3 col193\" >0</td>\n                        <td id=\"T_7111c_row3_col194\" class=\"data row3 col194\" >0</td>\n                        <td id=\"T_7111c_row3_col195\" class=\"data row3 col195\" >0</td>\n                        <td id=\"T_7111c_row3_col196\" class=\"data row3 col196\" >0</td>\n                        <td id=\"T_7111c_row3_col197\" class=\"data row3 col197\" >0</td>\n                        <td id=\"T_7111c_row3_col198\" class=\"data row3 col198\" >0</td>\n                        <td id=\"T_7111c_row3_col199\" class=\"data row3 col199\" >0</td>\n                        <td id=\"T_7111c_row3_col200\" class=\"data row3 col200\" >0</td>\n                        <td id=\"T_7111c_row3_col201\" class=\"data row3 col201\" >0</td>\n                        <td id=\"T_7111c_row3_col202\" class=\"data row3 col202\" >0</td>\n                        <td id=\"T_7111c_row3_col203\" class=\"data row3 col203\" >0</td>\n            </tr>\n            <tr>\n                        <th id=\"T_7111c_level0_row4\" class=\"row_heading level0 row4\" >F7</th>\n                        <td id=\"T_7111c_row4_col0\" class=\"data row4 col0\" >0</td>\n                        <td id=\"T_7111c_row4_col1\" class=\"data row4 col1\" >0</td>\n                        <td id=\"T_7111c_row4_col2\" class=\"data row4 col2\" >0</td>\n                        <td id=\"T_7111c_row4_col3\" class=\"data row4 col3\" >0</td>\n                        <td id=\"T_7111c_row4_col4\" class=\"data row4 col4\" >0</td>\n                        <td id=\"T_7111c_row4_col5\" class=\"data row4 col5\" >0</td>\n                        <td id=\"T_7111c_row4_col6\" class=\"data row4 col6\" >0</td>\n                        <td id=\"T_7111c_row4_col7\" class=\"data row4 col7\" >0</td>\n                        <td id=\"T_7111c_row4_col8\" class=\"data row4 col8\" >0</td>\n                        <td id=\"T_7111c_row4_col9\" class=\"data row4 col9\" >0</td>\n                        <td id=\"T_7111c_row4_col10\" class=\"data row4 col10\" >0</td>\n                        <td id=\"T_7111c_row4_col11\" class=\"data row4 col11\" >0</td>\n                        <td id=\"T_7111c_row4_col12\" class=\"data row4 col12\" >0</td>\n                        <td id=\"T_7111c_row4_col13\" class=\"data row4 col13\" >0</td>\n                        <td id=\"T_7111c_row4_col14\" class=\"data row4 col14\" >0</td>\n                        <td id=\"T_7111c_row4_col15\" class=\"data row4 col15\" >0</td>\n                        <td id=\"T_7111c_row4_col16\" class=\"data row4 col16\" >0</td>\n                        <td id=\"T_7111c_row4_col17\" class=\"data row4 col17\" >0</td>\n                        <td id=\"T_7111c_row4_col18\" class=\"data row4 col18\" >0</td>\n                        <td id=\"T_7111c_row4_col19\" class=\"data row4 col19\" >0</td>\n                        <td id=\"T_7111c_row4_col20\" class=\"data row4 col20\" >0</td>\n                        <td id=\"T_7111c_row4_col21\" class=\"data row4 col21\" >0</td>\n                        <td id=\"T_7111c_row4_col22\" class=\"data row4 col22\" >0</td>\n                        <td id=\"T_7111c_row4_col23\" class=\"data row4 col23\" >0</td>\n                        <td id=\"T_7111c_row4_col24\" class=\"data row4 col24\" >0</td>\n                        <td id=\"T_7111c_row4_col25\" class=\"data row4 col25\" >0</td>\n                        <td id=\"T_7111c_row4_col26\" class=\"data row4 col26\" >0</td>\n                        <td id=\"T_7111c_row4_col27\" class=\"data row4 col27\" >0</td>\n                        <td id=\"T_7111c_row4_col28\" class=\"data row4 col28\" >0</td>\n                        <td id=\"T_7111c_row4_col29\" class=\"data row4 col29\" >1</td>\n                        <td id=\"T_7111c_row4_col30\" class=\"data row4 col30\" >0</td>\n                        <td id=\"T_7111c_row4_col31\" class=\"data row4 col31\" >0</td>\n                        <td id=\"T_7111c_row4_col32\" class=\"data row4 col32\" >0</td>\n                        <td id=\"T_7111c_row4_col33\" class=\"data row4 col33\" >0</td>\n                        <td id=\"T_7111c_row4_col34\" class=\"data row4 col34\" >0</td>\n                        <td id=\"T_7111c_row4_col35\" class=\"data row4 col35\" >0</td>\n                        <td id=\"T_7111c_row4_col36\" class=\"data row4 col36\" >0</td>\n                        <td id=\"T_7111c_row4_col37\" class=\"data row4 col37\" >1</td>\n                        <td id=\"T_7111c_row4_col38\" class=\"data row4 col38\" >0</td>\n                        <td id=\"T_7111c_row4_col39\" class=\"data row4 col39\" >0</td>\n                        <td id=\"T_7111c_row4_col40\" class=\"data row4 col40\" >0</td>\n                        <td id=\"T_7111c_row4_col41\" class=\"data row4 col41\" >0</td>\n                        <td id=\"T_7111c_row4_col42\" class=\"data row4 col42\" >1</td>\n                        <td id=\"T_7111c_row4_col43\" class=\"data row4 col43\" >0</td>\n                        <td id=\"T_7111c_row4_col44\" class=\"data row4 col44\" >0</td>\n                        <td id=\"T_7111c_row4_col45\" class=\"data row4 col45\" >0</td>\n                        <td id=\"T_7111c_row4_col46\" class=\"data row4 col46\" >1</td>\n                        <td id=\"T_7111c_row4_col47\" class=\"data row4 col47\" >0</td>\n                        <td id=\"T_7111c_row4_col48\" class=\"data row4 col48\" >0</td>\n                        <td id=\"T_7111c_row4_col49\" class=\"data row4 col49\" >0</td>\n                        <td id=\"T_7111c_row4_col50\" class=\"data row4 col50\" >1</td>\n                        <td id=\"T_7111c_row4_col51\" class=\"data row4 col51\" >0</td>\n                        <td id=\"T_7111c_row4_col52\" class=\"data row4 col52\" >0</td>\n                        <td id=\"T_7111c_row4_col53\" class=\"data row4 col53\" >0</td>\n                        <td id=\"T_7111c_row4_col54\" class=\"data row4 col54\" >0</td>\n                        <td id=\"T_7111c_row4_col55\" class=\"data row4 col55\" >0</td>\n                        <td id=\"T_7111c_row4_col56\" class=\"data row4 col56\" >0</td>\n                        <td id=\"T_7111c_row4_col57\" class=\"data row4 col57\" >0</td>\n                        <td id=\"T_7111c_row4_col58\" class=\"data row4 col58\" >0</td>\n                        <td id=\"T_7111c_row4_col59\" class=\"data row4 col59\" >0</td>\n                        <td id=\"T_7111c_row4_col60\" class=\"data row4 col60\" >0</td>\n                        <td id=\"T_7111c_row4_col61\" class=\"data row4 col61\" >0</td>\n                        <td id=\"T_7111c_row4_col62\" class=\"data row4 col62\" >0</td>\n                        <td id=\"T_7111c_row4_col63\" class=\"data row4 col63\" >0</td>\n                        <td id=\"T_7111c_row4_col64\" class=\"data row4 col64\" >0</td>\n                        <td id=\"T_7111c_row4_col65\" class=\"data row4 col65\" >0</td>\n                        <td id=\"T_7111c_row4_col66\" class=\"data row4 col66\" >0</td>\n                        <td id=\"T_7111c_row4_col67\" class=\"data row4 col67\" >0</td>\n                        <td id=\"T_7111c_row4_col68\" class=\"data row4 col68\" >0</td>\n                        <td id=\"T_7111c_row4_col69\" class=\"data row4 col69\" >0</td>\n                        <td id=\"T_7111c_row4_col70\" class=\"data row4 col70\" >0</td>\n                        <td id=\"T_7111c_row4_col71\" class=\"data row4 col71\" >0</td>\n                        <td id=\"T_7111c_row4_col72\" class=\"data row4 col72\" >0</td>\n                        <td id=\"T_7111c_row4_col73\" class=\"data row4 col73\" >0</td>\n                        <td id=\"T_7111c_row4_col74\" class=\"data row4 col74\" >0</td>\n                        <td id=\"T_7111c_row4_col75\" class=\"data row4 col75\" >0</td>\n                        <td id=\"T_7111c_row4_col76\" class=\"data row4 col76\" >0</td>\n                        <td id=\"T_7111c_row4_col77\" class=\"data row4 col77\" >0</td>\n                        <td id=\"T_7111c_row4_col78\" class=\"data row4 col78\" >0</td>\n                        <td id=\"T_7111c_row4_col79\" class=\"data row4 col79\" >0</td>\n                        <td id=\"T_7111c_row4_col80\" class=\"data row4 col80\" >0</td>\n                        <td id=\"T_7111c_row4_col81\" class=\"data row4 col81\" >0</td>\n                        <td id=\"T_7111c_row4_col82\" class=\"data row4 col82\" >0</td>\n                        <td id=\"T_7111c_row4_col83\" class=\"data row4 col83\" >0</td>\n                        <td id=\"T_7111c_row4_col84\" class=\"data row4 col84\" >0</td>\n                        <td id=\"T_7111c_row4_col85\" class=\"data row4 col85\" >1</td>\n                        <td id=\"T_7111c_row4_col86\" class=\"data row4 col86\" >0</td>\n                        <td id=\"T_7111c_row4_col87\" class=\"data row4 col87\" >1</td>\n                        <td id=\"T_7111c_row4_col88\" class=\"data row4 col88\" >0</td>\n                        <td id=\"T_7111c_row4_col89\" class=\"data row4 col89\" >0</td>\n                        <td id=\"T_7111c_row4_col90\" class=\"data row4 col90\" >0</td>\n                        <td id=\"T_7111c_row4_col91\" class=\"data row4 col91\" >0</td>\n                        <td id=\"T_7111c_row4_col92\" class=\"data row4 col92\" >0</td>\n                        <td id=\"T_7111c_row4_col93\" class=\"data row4 col93\" >0</td>\n                        <td id=\"T_7111c_row4_col94\" class=\"data row4 col94\" >0</td>\n                        <td id=\"T_7111c_row4_col95\" class=\"data row4 col95\" >0</td>\n                        <td id=\"T_7111c_row4_col96\" class=\"data row4 col96\" >0</td>\n                        <td id=\"T_7111c_row4_col97\" class=\"data row4 col97\" >0</td>\n                        <td id=\"T_7111c_row4_col98\" class=\"data row4 col98\" >1</td>\n                        <td id=\"T_7111c_row4_col99\" class=\"data row4 col99\" >0</td>\n                        <td id=\"T_7111c_row4_col100\" class=\"data row4 col100\" >0</td>\n                        <td id=\"T_7111c_row4_col101\" class=\"data row4 col101\" >0</td>\n                        <td id=\"T_7111c_row4_col102\" class=\"data row4 col102\" >0</td>\n                        <td id=\"T_7111c_row4_col103\" class=\"data row4 col103\" >0</td>\n                        <td id=\"T_7111c_row4_col104\" class=\"data row4 col104\" >1</td>\n                        <td id=\"T_7111c_row4_col105\" class=\"data row4 col105\" >0</td>\n                        <td id=\"T_7111c_row4_col106\" class=\"data row4 col106\" >0</td>\n                        <td id=\"T_7111c_row4_col107\" class=\"data row4 col107\" >0</td>\n                        <td id=\"T_7111c_row4_col108\" class=\"data row4 col108\" >1</td>\n                        <td id=\"T_7111c_row4_col109\" class=\"data row4 col109\" >0</td>\n                        <td id=\"T_7111c_row4_col110\" class=\"data row4 col110\" >0</td>\n                        <td id=\"T_7111c_row4_col111\" class=\"data row4 col111\" >0</td>\n                        <td id=\"T_7111c_row4_col112\" class=\"data row4 col112\" >0</td>\n                        <td id=\"T_7111c_row4_col113\" class=\"data row4 col113\" >0</td>\n                        <td id=\"T_7111c_row4_col114\" class=\"data row4 col114\" >0</td>\n                        <td id=\"T_7111c_row4_col115\" class=\"data row4 col115\" >0</td>\n                        <td id=\"T_7111c_row4_col116\" class=\"data row4 col116\" >1</td>\n                        <td id=\"T_7111c_row4_col117\" class=\"data row4 col117\" >0</td>\n                        <td id=\"T_7111c_row4_col118\" class=\"data row4 col118\" >0</td>\n                        <td id=\"T_7111c_row4_col119\" class=\"data row4 col119\" >0</td>\n                        <td id=\"T_7111c_row4_col120\" class=\"data row4 col120\" >0</td>\n                        <td id=\"T_7111c_row4_col121\" class=\"data row4 col121\" >0</td>\n                        <td id=\"T_7111c_row4_col122\" class=\"data row4 col122\" >0</td>\n                        <td id=\"T_7111c_row4_col123\" class=\"data row4 col123\" >0</td>\n                        <td id=\"T_7111c_row4_col124\" class=\"data row4 col124\" >0</td>\n                        <td id=\"T_7111c_row4_col125\" class=\"data row4 col125\" >0</td>\n                        <td id=\"T_7111c_row4_col126\" class=\"data row4 col126\" >0</td>\n                        <td id=\"T_7111c_row4_col127\" class=\"data row4 col127\" >0</td>\n                        <td id=\"T_7111c_row4_col128\" class=\"data row4 col128\" >0</td>\n                        <td id=\"T_7111c_row4_col129\" class=\"data row4 col129\" >0</td>\n                        <td id=\"T_7111c_row4_col130\" class=\"data row4 col130\" >0</td>\n                        <td id=\"T_7111c_row4_col131\" class=\"data row4 col131\" >0</td>\n                        <td id=\"T_7111c_row4_col132\" class=\"data row4 col132\" >0</td>\n                        <td id=\"T_7111c_row4_col133\" class=\"data row4 col133\" >0</td>\n                        <td id=\"T_7111c_row4_col134\" class=\"data row4 col134\" >0</td>\n                        <td id=\"T_7111c_row4_col135\" class=\"data row4 col135\" >0</td>\n                        <td id=\"T_7111c_row4_col136\" class=\"data row4 col136\" >0</td>\n                        <td id=\"T_7111c_row4_col137\" class=\"data row4 col137\" >0</td>\n                        <td id=\"T_7111c_row4_col138\" class=\"data row4 col138\" >0</td>\n                        <td id=\"T_7111c_row4_col139\" class=\"data row4 col139\" >0</td>\n                        <td id=\"T_7111c_row4_col140\" class=\"data row4 col140\" >0</td>\n                        <td id=\"T_7111c_row4_col141\" class=\"data row4 col141\" >0</td>\n                        <td id=\"T_7111c_row4_col142\" class=\"data row4 col142\" >0</td>\n                        <td id=\"T_7111c_row4_col143\" class=\"data row4 col143\" >0</td>\n                        <td id=\"T_7111c_row4_col144\" class=\"data row4 col144\" >0</td>\n                        <td id=\"T_7111c_row4_col145\" class=\"data row4 col145\" >0</td>\n                        <td id=\"T_7111c_row4_col146\" class=\"data row4 col146\" >0</td>\n                        <td id=\"T_7111c_row4_col147\" class=\"data row4 col147\" >0</td>\n                        <td id=\"T_7111c_row4_col148\" class=\"data row4 col148\" >0</td>\n                        <td id=\"T_7111c_row4_col149\" class=\"data row4 col149\" >0</td>\n                        <td id=\"T_7111c_row4_col150\" class=\"data row4 col150\" >0</td>\n                        <td id=\"T_7111c_row4_col151\" class=\"data row4 col151\" >0</td>\n                        <td id=\"T_7111c_row4_col152\" class=\"data row4 col152\" >0</td>\n                        <td id=\"T_7111c_row4_col153\" class=\"data row4 col153\" >0</td>\n                        <td id=\"T_7111c_row4_col154\" class=\"data row4 col154\" >0</td>\n                        <td id=\"T_7111c_row4_col155\" class=\"data row4 col155\" >0</td>\n                        <td id=\"T_7111c_row4_col156\" class=\"data row4 col156\" >1</td>\n                        <td id=\"T_7111c_row4_col157\" class=\"data row4 col157\" >0</td>\n                        <td id=\"T_7111c_row4_col158\" class=\"data row4 col158\" >0</td>\n                        <td id=\"T_7111c_row4_col159\" class=\"data row4 col159\" >0</td>\n                        <td id=\"T_7111c_row4_col160\" class=\"data row4 col160\" >1</td>\n                        <td id=\"T_7111c_row4_col161\" class=\"data row4 col161\" >1</td>\n                        <td id=\"T_7111c_row4_col162\" class=\"data row4 col162\" >1</td>\n                        <td id=\"T_7111c_row4_col163\" class=\"data row4 col163\" >0</td>\n                        <td id=\"T_7111c_row4_col164\" class=\"data row4 col164\" >0</td>\n                        <td id=\"T_7111c_row4_col165\" class=\"data row4 col165\" >0</td>\n                        <td id=\"T_7111c_row4_col166\" class=\"data row4 col166\" >1</td>\n                        <td id=\"T_7111c_row4_col167\" class=\"data row4 col167\" >0</td>\n                        <td id=\"T_7111c_row4_col168\" class=\"data row4 col168\" >0</td>\n                        <td id=\"T_7111c_row4_col169\" class=\"data row4 col169\" >0</td>\n                        <td id=\"T_7111c_row4_col170\" class=\"data row4 col170\" >0</td>\n                        <td id=\"T_7111c_row4_col171\" class=\"data row4 col171\" >0</td>\n                        <td id=\"T_7111c_row4_col172\" class=\"data row4 col172\" >0</td>\n                        <td id=\"T_7111c_row4_col173\" class=\"data row4 col173\" >0</td>\n                        <td id=\"T_7111c_row4_col174\" class=\"data row4 col174\" >0</td>\n                        <td id=\"T_7111c_row4_col175\" class=\"data row4 col175\" >0</td>\n                        <td id=\"T_7111c_row4_col176\" class=\"data row4 col176\" >0</td>\n                        <td id=\"T_7111c_row4_col177\" class=\"data row4 col177\" >0</td>\n                        <td id=\"T_7111c_row4_col178\" class=\"data row4 col178\" >1</td>\n                        <td id=\"T_7111c_row4_col179\" class=\"data row4 col179\" >0</td>\n                        <td id=\"T_7111c_row4_col180\" class=\"data row4 col180\" >0</td>\n                        <td id=\"T_7111c_row4_col181\" class=\"data row4 col181\" >0</td>\n                        <td id=\"T_7111c_row4_col182\" class=\"data row4 col182\" >0</td>\n                        <td id=\"T_7111c_row4_col183\" class=\"data row4 col183\" >0</td>\n                        <td id=\"T_7111c_row4_col184\" class=\"data row4 col184\" >0</td>\n                        <td id=\"T_7111c_row4_col185\" class=\"data row4 col185\" >0</td>\n                        <td id=\"T_7111c_row4_col186\" class=\"data row4 col186\" >0</td>\n                        <td id=\"T_7111c_row4_col187\" class=\"data row4 col187\" >0</td>\n                        <td id=\"T_7111c_row4_col188\" class=\"data row4 col188\" >0</td>\n                        <td id=\"T_7111c_row4_col189\" class=\"data row4 col189\" >0</td>\n                        <td id=\"T_7111c_row4_col190\" class=\"data row4 col190\" >0</td>\n                        <td id=\"T_7111c_row4_col191\" class=\"data row4 col191\" >0</td>\n                        <td id=\"T_7111c_row4_col192\" class=\"data row4 col192\" >1</td>\n                        <td id=\"T_7111c_row4_col193\" class=\"data row4 col193\" >0</td>\n                        <td id=\"T_7111c_row4_col194\" class=\"data row4 col194\" >0</td>\n                        <td id=\"T_7111c_row4_col195\" class=\"data row4 col195\" >0</td>\n                        <td id=\"T_7111c_row4_col196\" class=\"data row4 col196\" >0</td>\n                        <td id=\"T_7111c_row4_col197\" class=\"data row4 col197\" >0</td>\n                        <td id=\"T_7111c_row4_col198\" class=\"data row4 col198\" >0</td>\n                        <td id=\"T_7111c_row4_col199\" class=\"data row4 col199\" >0</td>\n                        <td id=\"T_7111c_row4_col200\" class=\"data row4 col200\" >0</td>\n                        <td id=\"T_7111c_row4_col201\" class=\"data row4 col201\" >0</td>\n                        <td id=\"T_7111c_row4_col202\" class=\"data row4 col202\" >0</td>\n                        <td id=\"T_7111c_row4_col203\" class=\"data row4 col203\" >0</td>\n            </tr>\n            <tr>\n                        <th id=\"T_7111c_level0_row5\" class=\"row_heading level0 row5\" >F6</th>\n                        <td id=\"T_7111c_row5_col0\" class=\"data row5 col0\" >0</td>\n                        <td id=\"T_7111c_row5_col1\" class=\"data row5 col1\" >0</td>\n                        <td id=\"T_7111c_row5_col2\" class=\"data row5 col2\" >0</td>\n                        <td id=\"T_7111c_row5_col3\" class=\"data row5 col3\" >0</td>\n                        <td id=\"T_7111c_row5_col4\" class=\"data row5 col4\" >0</td>\n                        <td id=\"T_7111c_row5_col5\" class=\"data row5 col5\" >0</td>\n                        <td id=\"T_7111c_row5_col6\" class=\"data row5 col6\" >1</td>\n                        <td id=\"T_7111c_row5_col7\" class=\"data row5 col7\" >0</td>\n                        <td id=\"T_7111c_row5_col8\" class=\"data row5 col8\" >0</td>\n                        <td id=\"T_7111c_row5_col9\" class=\"data row5 col9\" >0</td>\n                        <td id=\"T_7111c_row5_col10\" class=\"data row5 col10\" >0</td>\n                        <td id=\"T_7111c_row5_col11\" class=\"data row5 col11\" >1</td>\n                        <td id=\"T_7111c_row5_col12\" class=\"data row5 col12\" >0</td>\n                        <td id=\"T_7111c_row5_col13\" class=\"data row5 col13\" >0</td>\n                        <td id=\"T_7111c_row5_col14\" class=\"data row5 col14\" >0</td>\n                        <td id=\"T_7111c_row5_col15\" class=\"data row5 col15\" >0</td>\n                        <td id=\"T_7111c_row5_col16\" class=\"data row5 col16\" >0</td>\n                        <td id=\"T_7111c_row5_col17\" class=\"data row5 col17\" >0</td>\n                        <td id=\"T_7111c_row5_col18\" class=\"data row5 col18\" >0</td>\n                        <td id=\"T_7111c_row5_col19\" class=\"data row5 col19\" >0</td>\n                        <td id=\"T_7111c_row5_col20\" class=\"data row5 col20\" >0</td>\n                        <td id=\"T_7111c_row5_col21\" class=\"data row5 col21\" >0</td>\n                        <td id=\"T_7111c_row5_col22\" class=\"data row5 col22\" >0</td>\n                        <td id=\"T_7111c_row5_col23\" class=\"data row5 col23\" >0</td>\n                        <td id=\"T_7111c_row5_col24\" class=\"data row5 col24\" >0</td>\n                        <td id=\"T_7111c_row5_col25\" class=\"data row5 col25\" >0</td>\n                        <td id=\"T_7111c_row5_col26\" class=\"data row5 col26\" >0</td>\n                        <td id=\"T_7111c_row5_col27\" class=\"data row5 col27\" >0</td>\n                        <td id=\"T_7111c_row5_col28\" class=\"data row5 col28\" >0</td>\n                        <td id=\"T_7111c_row5_col29\" class=\"data row5 col29\" >1</td>\n                        <td id=\"T_7111c_row5_col30\" class=\"data row5 col30\" >0</td>\n                        <td id=\"T_7111c_row5_col31\" class=\"data row5 col31\" >0</td>\n                        <td id=\"T_7111c_row5_col32\" class=\"data row5 col32\" >0</td>\n                        <td id=\"T_7111c_row5_col33\" class=\"data row5 col33\" >0</td>\n                        <td id=\"T_7111c_row5_col34\" class=\"data row5 col34\" >0</td>\n                        <td id=\"T_7111c_row5_col35\" class=\"data row5 col35\" >0</td>\n                        <td id=\"T_7111c_row5_col36\" class=\"data row5 col36\" >0</td>\n                        <td id=\"T_7111c_row5_col37\" class=\"data row5 col37\" >1</td>\n                        <td id=\"T_7111c_row5_col38\" class=\"data row5 col38\" >0</td>\n                        <td id=\"T_7111c_row5_col39\" class=\"data row5 col39\" >0</td>\n                        <td id=\"T_7111c_row5_col40\" class=\"data row5 col40\" >1</td>\n                        <td id=\"T_7111c_row5_col41\" class=\"data row5 col41\" >0</td>\n                        <td id=\"T_7111c_row5_col42\" class=\"data row5 col42\" >1</td>\n                        <td id=\"T_7111c_row5_col43\" class=\"data row5 col43\" >0</td>\n                        <td id=\"T_7111c_row5_col44\" class=\"data row5 col44\" >0</td>\n                        <td id=\"T_7111c_row5_col45\" class=\"data row5 col45\" >0</td>\n                        <td id=\"T_7111c_row5_col46\" class=\"data row5 col46\" >1</td>\n                        <td id=\"T_7111c_row5_col47\" class=\"data row5 col47\" >0</td>\n                        <td id=\"T_7111c_row5_col48\" class=\"data row5 col48\" >0</td>\n                        <td id=\"T_7111c_row5_col49\" class=\"data row5 col49\" >0</td>\n                        <td id=\"T_7111c_row5_col50\" class=\"data row5 col50\" >1</td>\n                        <td id=\"T_7111c_row5_col51\" class=\"data row5 col51\" >0</td>\n                        <td id=\"T_7111c_row5_col52\" class=\"data row5 col52\" >0</td>\n                        <td id=\"T_7111c_row5_col53\" class=\"data row5 col53\" >1</td>\n                        <td id=\"T_7111c_row5_col54\" class=\"data row5 col54\" >0</td>\n                        <td id=\"T_7111c_row5_col55\" class=\"data row5 col55\" >0</td>\n                        <td id=\"T_7111c_row5_col56\" class=\"data row5 col56\" >0</td>\n                        <td id=\"T_7111c_row5_col57\" class=\"data row5 col57\" >0</td>\n                        <td id=\"T_7111c_row5_col58\" class=\"data row5 col58\" >0</td>\n                        <td id=\"T_7111c_row5_col59\" class=\"data row5 col59\" >0</td>\n                        <td id=\"T_7111c_row5_col60\" class=\"data row5 col60\" >0</td>\n                        <td id=\"T_7111c_row5_col61\" class=\"data row5 col61\" >0</td>\n                        <td id=\"T_7111c_row5_col62\" class=\"data row5 col62\" >0</td>\n                        <td id=\"T_7111c_row5_col63\" class=\"data row5 col63\" >0</td>\n                        <td id=\"T_7111c_row5_col64\" class=\"data row5 col64\" >0</td>\n                        <td id=\"T_7111c_row5_col65\" class=\"data row5 col65\" >0</td>\n                        <td id=\"T_7111c_row5_col66\" class=\"data row5 col66\" >0</td>\n                        <td id=\"T_7111c_row5_col67\" class=\"data row5 col67\" >1</td>\n                        <td id=\"T_7111c_row5_col68\" class=\"data row5 col68\" >0</td>\n                        <td id=\"T_7111c_row5_col69\" class=\"data row5 col69\" >1</td>\n                        <td id=\"T_7111c_row5_col70\" class=\"data row5 col70\" >0</td>\n                        <td id=\"T_7111c_row5_col71\" class=\"data row5 col71\" >0</td>\n                        <td id=\"T_7111c_row5_col72\" class=\"data row5 col72\" >0</td>\n                        <td id=\"T_7111c_row5_col73\" class=\"data row5 col73\" >0</td>\n                        <td id=\"T_7111c_row5_col74\" class=\"data row5 col74\" >0</td>\n                        <td id=\"T_7111c_row5_col75\" class=\"data row5 col75\" >0</td>\n                        <td id=\"T_7111c_row5_col76\" class=\"data row5 col76\" >1</td>\n                        <td id=\"T_7111c_row5_col77\" class=\"data row5 col77\" >0</td>\n                        <td id=\"T_7111c_row5_col78\" class=\"data row5 col78\" >0</td>\n                        <td id=\"T_7111c_row5_col79\" class=\"data row5 col79\" >0</td>\n                        <td id=\"T_7111c_row5_col80\" class=\"data row5 col80\" >0</td>\n                        <td id=\"T_7111c_row5_col81\" class=\"data row5 col81\" >0</td>\n                        <td id=\"T_7111c_row5_col82\" class=\"data row5 col82\" >0</td>\n                        <td id=\"T_7111c_row5_col83\" class=\"data row5 col83\" >0</td>\n                        <td id=\"T_7111c_row5_col84\" class=\"data row5 col84\" >0</td>\n                        <td id=\"T_7111c_row5_col85\" class=\"data row5 col85\" >1</td>\n                        <td id=\"T_7111c_row5_col86\" class=\"data row5 col86\" >0</td>\n                        <td id=\"T_7111c_row5_col87\" class=\"data row5 col87\" >1</td>\n                        <td id=\"T_7111c_row5_col88\" class=\"data row5 col88\" >0</td>\n                        <td id=\"T_7111c_row5_col89\" class=\"data row5 col89\" >0</td>\n                        <td id=\"T_7111c_row5_col90\" class=\"data row5 col90\" >0</td>\n                        <td id=\"T_7111c_row5_col91\" class=\"data row5 col91\" >1</td>\n                        <td id=\"T_7111c_row5_col92\" class=\"data row5 col92\" >0</td>\n                        <td id=\"T_7111c_row5_col93\" class=\"data row5 col93\" >0</td>\n                        <td id=\"T_7111c_row5_col94\" class=\"data row5 col94\" >0</td>\n                        <td id=\"T_7111c_row5_col95\" class=\"data row5 col95\" >0</td>\n                        <td id=\"T_7111c_row5_col96\" class=\"data row5 col96\" >0</td>\n                        <td id=\"T_7111c_row5_col97\" class=\"data row5 col97\" >0</td>\n                        <td id=\"T_7111c_row5_col98\" class=\"data row5 col98\" >1</td>\n                        <td id=\"T_7111c_row5_col99\" class=\"data row5 col99\" >0</td>\n                        <td id=\"T_7111c_row5_col100\" class=\"data row5 col100\" >0</td>\n                        <td id=\"T_7111c_row5_col101\" class=\"data row5 col101\" >0</td>\n                        <td id=\"T_7111c_row5_col102\" class=\"data row5 col102\" >0</td>\n                        <td id=\"T_7111c_row5_col103\" class=\"data row5 col103\" >0</td>\n                        <td id=\"T_7111c_row5_col104\" class=\"data row5 col104\" >1</td>\n                        <td id=\"T_7111c_row5_col105\" class=\"data row5 col105\" >0</td>\n                        <td id=\"T_7111c_row5_col106\" class=\"data row5 col106\" >1</td>\n                        <td id=\"T_7111c_row5_col107\" class=\"data row5 col107\" >0</td>\n                        <td id=\"T_7111c_row5_col108\" class=\"data row5 col108\" >1</td>\n                        <td id=\"T_7111c_row5_col109\" class=\"data row5 col109\" >0</td>\n                        <td id=\"T_7111c_row5_col110\" class=\"data row5 col110\" >0</td>\n                        <td id=\"T_7111c_row5_col111\" class=\"data row5 col111\" >0</td>\n                        <td id=\"T_7111c_row5_col112\" class=\"data row5 col112\" >0</td>\n                        <td id=\"T_7111c_row5_col113\" class=\"data row5 col113\" >0</td>\n                        <td id=\"T_7111c_row5_col114\" class=\"data row5 col114\" >0</td>\n                        <td id=\"T_7111c_row5_col115\" class=\"data row5 col115\" >0</td>\n                        <td id=\"T_7111c_row5_col116\" class=\"data row5 col116\" >1</td>\n                        <td id=\"T_7111c_row5_col117\" class=\"data row5 col117\" >1</td>\n                        <td id=\"T_7111c_row5_col118\" class=\"data row5 col118\" >0</td>\n                        <td id=\"T_7111c_row5_col119\" class=\"data row5 col119\" >0</td>\n                        <td id=\"T_7111c_row5_col120\" class=\"data row5 col120\" >0</td>\n                        <td id=\"T_7111c_row5_col121\" class=\"data row5 col121\" >0</td>\n                        <td id=\"T_7111c_row5_col122\" class=\"data row5 col122\" >0</td>\n                        <td id=\"T_7111c_row5_col123\" class=\"data row5 col123\" >0</td>\n                        <td id=\"T_7111c_row5_col124\" class=\"data row5 col124\" >0</td>\n                        <td id=\"T_7111c_row5_col125\" class=\"data row5 col125\" >0</td>\n                        <td id=\"T_7111c_row5_col126\" class=\"data row5 col126\" >0</td>\n                        <td id=\"T_7111c_row5_col127\" class=\"data row5 col127\" >0</td>\n                        <td id=\"T_7111c_row5_col128\" class=\"data row5 col128\" >0</td>\n                        <td id=\"T_7111c_row5_col129\" class=\"data row5 col129\" >0</td>\n                        <td id=\"T_7111c_row5_col130\" class=\"data row5 col130\" >0</td>\n                        <td id=\"T_7111c_row5_col131\" class=\"data row5 col131\" >1</td>\n                        <td id=\"T_7111c_row5_col132\" class=\"data row5 col132\" >0</td>\n                        <td id=\"T_7111c_row5_col133\" class=\"data row5 col133\" >0</td>\n                        <td id=\"T_7111c_row5_col134\" class=\"data row5 col134\" >0</td>\n                        <td id=\"T_7111c_row5_col135\" class=\"data row5 col135\" >0</td>\n                        <td id=\"T_7111c_row5_col136\" class=\"data row5 col136\" >1</td>\n                        <td id=\"T_7111c_row5_col137\" class=\"data row5 col137\" >0</td>\n                        <td id=\"T_7111c_row5_col138\" class=\"data row5 col138\" >0</td>\n                        <td id=\"T_7111c_row5_col139\" class=\"data row5 col139\" >0</td>\n                        <td id=\"T_7111c_row5_col140\" class=\"data row5 col140\" >1</td>\n                        <td id=\"T_7111c_row5_col141\" class=\"data row5 col141\" >0</td>\n                        <td id=\"T_7111c_row5_col142\" class=\"data row5 col142\" >0</td>\n                        <td id=\"T_7111c_row5_col143\" class=\"data row5 col143\" >0</td>\n                        <td id=\"T_7111c_row5_col144\" class=\"data row5 col144\" >0</td>\n                        <td id=\"T_7111c_row5_col145\" class=\"data row5 col145\" >0</td>\n                        <td id=\"T_7111c_row5_col146\" class=\"data row5 col146\" >0</td>\n                        <td id=\"T_7111c_row5_col147\" class=\"data row5 col147\" >0</td>\n                        <td id=\"T_7111c_row5_col148\" class=\"data row5 col148\" >0</td>\n                        <td id=\"T_7111c_row5_col149\" class=\"data row5 col149\" >0</td>\n                        <td id=\"T_7111c_row5_col150\" class=\"data row5 col150\" >0</td>\n                        <td id=\"T_7111c_row5_col151\" class=\"data row5 col151\" >0</td>\n                        <td id=\"T_7111c_row5_col152\" class=\"data row5 col152\" >0</td>\n                        <td id=\"T_7111c_row5_col153\" class=\"data row5 col153\" >0</td>\n                        <td id=\"T_7111c_row5_col154\" class=\"data row5 col154\" >0</td>\n                        <td id=\"T_7111c_row5_col155\" class=\"data row5 col155\" >0</td>\n                        <td id=\"T_7111c_row5_col156\" class=\"data row5 col156\" >1</td>\n                        <td id=\"T_7111c_row5_col157\" class=\"data row5 col157\" >0</td>\n                        <td id=\"T_7111c_row5_col158\" class=\"data row5 col158\" >0</td>\n                        <td id=\"T_7111c_row5_col159\" class=\"data row5 col159\" >0</td>\n                        <td id=\"T_7111c_row5_col160\" class=\"data row5 col160\" >1</td>\n                        <td id=\"T_7111c_row5_col161\" class=\"data row5 col161\" >1</td>\n                        <td id=\"T_7111c_row5_col162\" class=\"data row5 col162\" >1</td>\n                        <td id=\"T_7111c_row5_col163\" class=\"data row5 col163\" >0</td>\n                        <td id=\"T_7111c_row5_col164\" class=\"data row5 col164\" >0</td>\n                        <td id=\"T_7111c_row5_col165\" class=\"data row5 col165\" >0</td>\n                        <td id=\"T_7111c_row5_col166\" class=\"data row5 col166\" >1</td>\n                        <td id=\"T_7111c_row5_col167\" class=\"data row5 col167\" >0</td>\n                        <td id=\"T_7111c_row5_col168\" class=\"data row5 col168\" >0</td>\n                        <td id=\"T_7111c_row5_col169\" class=\"data row5 col169\" >0</td>\n                        <td id=\"T_7111c_row5_col170\" class=\"data row5 col170\" >0</td>\n                        <td id=\"T_7111c_row5_col171\" class=\"data row5 col171\" >1</td>\n                        <td id=\"T_7111c_row5_col172\" class=\"data row5 col172\" >0</td>\n                        <td id=\"T_7111c_row5_col173\" class=\"data row5 col173\" >0</td>\n                        <td id=\"T_7111c_row5_col174\" class=\"data row5 col174\" >0</td>\n                        <td id=\"T_7111c_row5_col175\" class=\"data row5 col175\" >0</td>\n                        <td id=\"T_7111c_row5_col176\" class=\"data row5 col176\" >0</td>\n                        <td id=\"T_7111c_row5_col177\" class=\"data row5 col177\" >0</td>\n                        <td id=\"T_7111c_row5_col178\" class=\"data row5 col178\" >1</td>\n                        <td id=\"T_7111c_row5_col179\" class=\"data row5 col179\" >0</td>\n                        <td id=\"T_7111c_row5_col180\" class=\"data row5 col180\" >0</td>\n                        <td id=\"T_7111c_row5_col181\" class=\"data row5 col181\" >0</td>\n                        <td id=\"T_7111c_row5_col182\" class=\"data row5 col182\" >0</td>\n                        <td id=\"T_7111c_row5_col183\" class=\"data row5 col183\" >0</td>\n                        <td id=\"T_7111c_row5_col184\" class=\"data row5 col184\" >0</td>\n                        <td id=\"T_7111c_row5_col185\" class=\"data row5 col185\" >0</td>\n                        <td id=\"T_7111c_row5_col186\" class=\"data row5 col186\" >0</td>\n                        <td id=\"T_7111c_row5_col187\" class=\"data row5 col187\" >0</td>\n                        <td id=\"T_7111c_row5_col188\" class=\"data row5 col188\" >0</td>\n                        <td id=\"T_7111c_row5_col189\" class=\"data row5 col189\" >0</td>\n                        <td id=\"T_7111c_row5_col190\" class=\"data row5 col190\" >1</td>\n                        <td id=\"T_7111c_row5_col191\" class=\"data row5 col191\" >0</td>\n                        <td id=\"T_7111c_row5_col192\" class=\"data row5 col192\" >1</td>\n                        <td id=\"T_7111c_row5_col193\" class=\"data row5 col193\" >0</td>\n                        <td id=\"T_7111c_row5_col194\" class=\"data row5 col194\" >0</td>\n                        <td id=\"T_7111c_row5_col195\" class=\"data row5 col195\" >0</td>\n                        <td id=\"T_7111c_row5_col196\" class=\"data row5 col196\" >0</td>\n                        <td id=\"T_7111c_row5_col197\" class=\"data row5 col197\" >0</td>\n                        <td id=\"T_7111c_row5_col198\" class=\"data row5 col198\" >0</td>\n                        <td id=\"T_7111c_row5_col199\" class=\"data row5 col199\" >0</td>\n                        <td id=\"T_7111c_row5_col200\" class=\"data row5 col200\" >0</td>\n                        <td id=\"T_7111c_row5_col201\" class=\"data row5 col201\" >0</td>\n                        <td id=\"T_7111c_row5_col202\" class=\"data row5 col202\" >0</td>\n                        <td id=\"T_7111c_row5_col203\" class=\"data row5 col203\" >0</td>\n            </tr>\n            <tr>\n                        <th id=\"T_7111c_level0_row6\" class=\"row_heading level0 row6\" >F5</th>\n                        <td id=\"T_7111c_row6_col0\" class=\"data row6 col0\" >0</td>\n                        <td id=\"T_7111c_row6_col1\" class=\"data row6 col1\" >0</td>\n                        <td id=\"T_7111c_row6_col2\" class=\"data row6 col2\" >1</td>\n                        <td id=\"T_7111c_row6_col3\" class=\"data row6 col3\" >0</td>\n                        <td id=\"T_7111c_row6_col4\" class=\"data row6 col4\" >0</td>\n                        <td id=\"T_7111c_row6_col5\" class=\"data row6 col5\" >0</td>\n                        <td id=\"T_7111c_row6_col6\" class=\"data row6 col6\" >1</td>\n                        <td id=\"T_7111c_row6_col7\" class=\"data row6 col7\" >1</td>\n                        <td id=\"T_7111c_row6_col8\" class=\"data row6 col8\" >0</td>\n                        <td id=\"T_7111c_row6_col9\" class=\"data row6 col9\" >1</td>\n                        <td id=\"T_7111c_row6_col10\" class=\"data row6 col10\" >0</td>\n                        <td id=\"T_7111c_row6_col11\" class=\"data row6 col11\" >1</td>\n                        <td id=\"T_7111c_row6_col12\" class=\"data row6 col12\" >0</td>\n                        <td id=\"T_7111c_row6_col13\" class=\"data row6 col13\" >1</td>\n                        <td id=\"T_7111c_row6_col14\" class=\"data row6 col14\" >0</td>\n                        <td id=\"T_7111c_row6_col15\" class=\"data row6 col15\" >0</td>\n                        <td id=\"T_7111c_row6_col16\" class=\"data row6 col16\" >0</td>\n                        <td id=\"T_7111c_row6_col17\" class=\"data row6 col17\" >0</td>\n                        <td id=\"T_7111c_row6_col18\" class=\"data row6 col18\" >0</td>\n                        <td id=\"T_7111c_row6_col19\" class=\"data row6 col19\" >0</td>\n                        <td id=\"T_7111c_row6_col20\" class=\"data row6 col20\" >0</td>\n                        <td id=\"T_7111c_row6_col21\" class=\"data row6 col21\" >0</td>\n                        <td id=\"T_7111c_row6_col22\" class=\"data row6 col22\" >1</td>\n                        <td id=\"T_7111c_row6_col23\" class=\"data row6 col23\" >1</td>\n                        <td id=\"T_7111c_row6_col24\" class=\"data row6 col24\" >0</td>\n                        <td id=\"T_7111c_row6_col25\" class=\"data row6 col25\" >0</td>\n                        <td id=\"T_7111c_row6_col26\" class=\"data row6 col26\" >0</td>\n                        <td id=\"T_7111c_row6_col27\" class=\"data row6 col27\" >0</td>\n                        <td id=\"T_7111c_row6_col28\" class=\"data row6 col28\" >0</td>\n                        <td id=\"T_7111c_row6_col29\" class=\"data row6 col29\" >1</td>\n                        <td id=\"T_7111c_row6_col30\" class=\"data row6 col30\" >0</td>\n                        <td id=\"T_7111c_row6_col31\" class=\"data row6 col31\" >0</td>\n                        <td id=\"T_7111c_row6_col32\" class=\"data row6 col32\" >1</td>\n                        <td id=\"T_7111c_row6_col33\" class=\"data row6 col33\" >0</td>\n                        <td id=\"T_7111c_row6_col34\" class=\"data row6 col34\" >0</td>\n                        <td id=\"T_7111c_row6_col35\" class=\"data row6 col35\" >0</td>\n                        <td id=\"T_7111c_row6_col36\" class=\"data row6 col36\" >0</td>\n                        <td id=\"T_7111c_row6_col37\" class=\"data row6 col37\" >1</td>\n                        <td id=\"T_7111c_row6_col38\" class=\"data row6 col38\" >0</td>\n                        <td id=\"T_7111c_row6_col39\" class=\"data row6 col39\" >0</td>\n                        <td id=\"T_7111c_row6_col40\" class=\"data row6 col40\" >1</td>\n                        <td id=\"T_7111c_row6_col41\" class=\"data row6 col41\" >0</td>\n                        <td id=\"T_7111c_row6_col42\" class=\"data row6 col42\" >1</td>\n                        <td id=\"T_7111c_row6_col43\" class=\"data row6 col43\" >1</td>\n                        <td id=\"T_7111c_row6_col44\" class=\"data row6 col44\" >0</td>\n                        <td id=\"T_7111c_row6_col45\" class=\"data row6 col45\" >1</td>\n                        <td id=\"T_7111c_row6_col46\" class=\"data row6 col46\" >1</td>\n                        <td id=\"T_7111c_row6_col47\" class=\"data row6 col47\" >0</td>\n                        <td id=\"T_7111c_row6_col48\" class=\"data row6 col48\" >0</td>\n                        <td id=\"T_7111c_row6_col49\" class=\"data row6 col49\" >0</td>\n                        <td id=\"T_7111c_row6_col50\" class=\"data row6 col50\" >1</td>\n                        <td id=\"T_7111c_row6_col51\" class=\"data row6 col51\" >0</td>\n                        <td id=\"T_7111c_row6_col52\" class=\"data row6 col52\" >0</td>\n                        <td id=\"T_7111c_row6_col53\" class=\"data row6 col53\" >1</td>\n                        <td id=\"T_7111c_row6_col54\" class=\"data row6 col54\" >0</td>\n                        <td id=\"T_7111c_row6_col55\" class=\"data row6 col55\" >0</td>\n                        <td id=\"T_7111c_row6_col56\" class=\"data row6 col56\" >0</td>\n                        <td id=\"T_7111c_row6_col57\" class=\"data row6 col57\" >0</td>\n                        <td id=\"T_7111c_row6_col58\" class=\"data row6 col58\" >0</td>\n                        <td id=\"T_7111c_row6_col59\" class=\"data row6 col59\" >0</td>\n                        <td id=\"T_7111c_row6_col60\" class=\"data row6 col60\" >1</td>\n                        <td id=\"T_7111c_row6_col61\" class=\"data row6 col61\" >0</td>\n                        <td id=\"T_7111c_row6_col62\" class=\"data row6 col62\" >0</td>\n                        <td id=\"T_7111c_row6_col63\" class=\"data row6 col63\" >0</td>\n                        <td id=\"T_7111c_row6_col64\" class=\"data row6 col64\" >0</td>\n                        <td id=\"T_7111c_row6_col65\" class=\"data row6 col65\" >0</td>\n                        <td id=\"T_7111c_row6_col66\" class=\"data row6 col66\" >0</td>\n                        <td id=\"T_7111c_row6_col67\" class=\"data row6 col67\" >1</td>\n                        <td id=\"T_7111c_row6_col68\" class=\"data row6 col68\" >0</td>\n                        <td id=\"T_7111c_row6_col69\" class=\"data row6 col69\" >1</td>\n                        <td id=\"T_7111c_row6_col70\" class=\"data row6 col70\" >0</td>\n                        <td id=\"T_7111c_row6_col71\" class=\"data row6 col71\" >0</td>\n                        <td id=\"T_7111c_row6_col72\" class=\"data row6 col72\" >1</td>\n                        <td id=\"T_7111c_row6_col73\" class=\"data row6 col73\" >0</td>\n                        <td id=\"T_7111c_row6_col74\" class=\"data row6 col74\" >0</td>\n                        <td id=\"T_7111c_row6_col75\" class=\"data row6 col75\" >1</td>\n                        <td id=\"T_7111c_row6_col76\" class=\"data row6 col76\" >1</td>\n                        <td id=\"T_7111c_row6_col77\" class=\"data row6 col77\" >0</td>\n                        <td id=\"T_7111c_row6_col78\" class=\"data row6 col78\" >1</td>\n                        <td id=\"T_7111c_row6_col79\" class=\"data row6 col79\" >0</td>\n                        <td id=\"T_7111c_row6_col80\" class=\"data row6 col80\" >0</td>\n                        <td id=\"T_7111c_row6_col81\" class=\"data row6 col81\" >0</td>\n                        <td id=\"T_7111c_row6_col82\" class=\"data row6 col82\" >1</td>\n                        <td id=\"T_7111c_row6_col83\" class=\"data row6 col83\" >0</td>\n                        <td id=\"T_7111c_row6_col84\" class=\"data row6 col84\" >0</td>\n                        <td id=\"T_7111c_row6_col85\" class=\"data row6 col85\" >1</td>\n                        <td id=\"T_7111c_row6_col86\" class=\"data row6 col86\" >0</td>\n                        <td id=\"T_7111c_row6_col87\" class=\"data row6 col87\" >1</td>\n                        <td id=\"T_7111c_row6_col88\" class=\"data row6 col88\" >0</td>\n                        <td id=\"T_7111c_row6_col89\" class=\"data row6 col89\" >1</td>\n                        <td id=\"T_7111c_row6_col90\" class=\"data row6 col90\" >0</td>\n                        <td id=\"T_7111c_row6_col91\" class=\"data row6 col91\" >1</td>\n                        <td id=\"T_7111c_row6_col92\" class=\"data row6 col92\" >0</td>\n                        <td id=\"T_7111c_row6_col93\" class=\"data row6 col93\" >0</td>\n                        <td id=\"T_7111c_row6_col94\" class=\"data row6 col94\" >1</td>\n                        <td id=\"T_7111c_row6_col95\" class=\"data row6 col95\" >0</td>\n                        <td id=\"T_7111c_row6_col96\" class=\"data row6 col96\" >1</td>\n                        <td id=\"T_7111c_row6_col97\" class=\"data row6 col97\" >0</td>\n                        <td id=\"T_7111c_row6_col98\" class=\"data row6 col98\" >1</td>\n                        <td id=\"T_7111c_row6_col99\" class=\"data row6 col99\" >0</td>\n                        <td id=\"T_7111c_row6_col100\" class=\"data row6 col100\" >0</td>\n                        <td id=\"T_7111c_row6_col101\" class=\"data row6 col101\" >1</td>\n                        <td id=\"T_7111c_row6_col102\" class=\"data row6 col102\" >0</td>\n                        <td id=\"T_7111c_row6_col103\" class=\"data row6 col103\" >0</td>\n                        <td id=\"T_7111c_row6_col104\" class=\"data row6 col104\" >1</td>\n                        <td id=\"T_7111c_row6_col105\" class=\"data row6 col105\" >0</td>\n                        <td id=\"T_7111c_row6_col106\" class=\"data row6 col106\" >1</td>\n                        <td id=\"T_7111c_row6_col107\" class=\"data row6 col107\" >0</td>\n                        <td id=\"T_7111c_row6_col108\" class=\"data row6 col108\" >1</td>\n                        <td id=\"T_7111c_row6_col109\" class=\"data row6 col109\" >1</td>\n                        <td id=\"T_7111c_row6_col110\" class=\"data row6 col110\" >0</td>\n                        <td id=\"T_7111c_row6_col111\" class=\"data row6 col111\" >0</td>\n                        <td id=\"T_7111c_row6_col112\" class=\"data row6 col112\" >0</td>\n                        <td id=\"T_7111c_row6_col113\" class=\"data row6 col113\" >0</td>\n                        <td id=\"T_7111c_row6_col114\" class=\"data row6 col114\" >1</td>\n                        <td id=\"T_7111c_row6_col115\" class=\"data row6 col115\" >0</td>\n                        <td id=\"T_7111c_row6_col116\" class=\"data row6 col116\" >1</td>\n                        <td id=\"T_7111c_row6_col117\" class=\"data row6 col117\" >1</td>\n                        <td id=\"T_7111c_row6_col118\" class=\"data row6 col118\" >0</td>\n                        <td id=\"T_7111c_row6_col119\" class=\"data row6 col119\" >0</td>\n                        <td id=\"T_7111c_row6_col120\" class=\"data row6 col120\" >0</td>\n                        <td id=\"T_7111c_row6_col121\" class=\"data row6 col121\" >0</td>\n                        <td id=\"T_7111c_row6_col122\" class=\"data row6 col122\" >0</td>\n                        <td id=\"T_7111c_row6_col123\" class=\"data row6 col123\" >0</td>\n                        <td id=\"T_7111c_row6_col124\" class=\"data row6 col124\" >0</td>\n                        <td id=\"T_7111c_row6_col125\" class=\"data row6 col125\" >0</td>\n                        <td id=\"T_7111c_row6_col126\" class=\"data row6 col126\" >0</td>\n                        <td id=\"T_7111c_row6_col127\" class=\"data row6 col127\" >0</td>\n                        <td id=\"T_7111c_row6_col128\" class=\"data row6 col128\" >0</td>\n                        <td id=\"T_7111c_row6_col129\" class=\"data row6 col129\" >1</td>\n                        <td id=\"T_7111c_row6_col130\" class=\"data row6 col130\" >0</td>\n                        <td id=\"T_7111c_row6_col131\" class=\"data row6 col131\" >1</td>\n                        <td id=\"T_7111c_row6_col132\" class=\"data row6 col132\" >1</td>\n                        <td id=\"T_7111c_row6_col133\" class=\"data row6 col133\" >0</td>\n                        <td id=\"T_7111c_row6_col134\" class=\"data row6 col134\" >0</td>\n                        <td id=\"T_7111c_row6_col135\" class=\"data row6 col135\" >1</td>\n                        <td id=\"T_7111c_row6_col136\" class=\"data row6 col136\" >1</td>\n                        <td id=\"T_7111c_row6_col137\" class=\"data row6 col137\" >0</td>\n                        <td id=\"T_7111c_row6_col138\" class=\"data row6 col138\" >0</td>\n                        <td id=\"T_7111c_row6_col139\" class=\"data row6 col139\" >0</td>\n                        <td id=\"T_7111c_row6_col140\" class=\"data row6 col140\" >1</td>\n                        <td id=\"T_7111c_row6_col141\" class=\"data row6 col141\" >0</td>\n                        <td id=\"T_7111c_row6_col142\" class=\"data row6 col142\" >1</td>\n                        <td id=\"T_7111c_row6_col143\" class=\"data row6 col143\" >0</td>\n                        <td id=\"T_7111c_row6_col144\" class=\"data row6 col144\" >0</td>\n                        <td id=\"T_7111c_row6_col145\" class=\"data row6 col145\" >1</td>\n                        <td id=\"T_7111c_row6_col146\" class=\"data row6 col146\" >0</td>\n                        <td id=\"T_7111c_row6_col147\" class=\"data row6 col147\" >0</td>\n                        <td id=\"T_7111c_row6_col148\" class=\"data row6 col148\" >0</td>\n                        <td id=\"T_7111c_row6_col149\" class=\"data row6 col149\" >1</td>\n                        <td id=\"T_7111c_row6_col150\" class=\"data row6 col150\" >0</td>\n                        <td id=\"T_7111c_row6_col151\" class=\"data row6 col151\" >0</td>\n                        <td id=\"T_7111c_row6_col152\" class=\"data row6 col152\" >0</td>\n                        <td id=\"T_7111c_row6_col153\" class=\"data row6 col153\" >0</td>\n                        <td id=\"T_7111c_row6_col154\" class=\"data row6 col154\" >1</td>\n                        <td id=\"T_7111c_row6_col155\" class=\"data row6 col155\" >0</td>\n                        <td id=\"T_7111c_row6_col156\" class=\"data row6 col156\" >1</td>\n                        <td id=\"T_7111c_row6_col157\" class=\"data row6 col157\" >1</td>\n                        <td id=\"T_7111c_row6_col158\" class=\"data row6 col158\" >0</td>\n                        <td id=\"T_7111c_row6_col159\" class=\"data row6 col159\" >0</td>\n                        <td id=\"T_7111c_row6_col160\" class=\"data row6 col160\" >1</td>\n                        <td id=\"T_7111c_row6_col161\" class=\"data row6 col161\" >1</td>\n                        <td id=\"T_7111c_row6_col162\" class=\"data row6 col162\" >1</td>\n                        <td id=\"T_7111c_row6_col163\" class=\"data row6 col163\" >0</td>\n                        <td id=\"T_7111c_row6_col164\" class=\"data row6 col164\" >0</td>\n                        <td id=\"T_7111c_row6_col165\" class=\"data row6 col165\" >1</td>\n                        <td id=\"T_7111c_row6_col166\" class=\"data row6 col166\" >1</td>\n                        <td id=\"T_7111c_row6_col167\" class=\"data row6 col167\" >1</td>\n                        <td id=\"T_7111c_row6_col168\" class=\"data row6 col168\" >0</td>\n                        <td id=\"T_7111c_row6_col169\" class=\"data row6 col169\" >0</td>\n                        <td id=\"T_7111c_row6_col170\" class=\"data row6 col170\" >0</td>\n                        <td id=\"T_7111c_row6_col171\" class=\"data row6 col171\" >1</td>\n                        <td id=\"T_7111c_row6_col172\" class=\"data row6 col172\" >0</td>\n                        <td id=\"T_7111c_row6_col173\" class=\"data row6 col173\" >1</td>\n                        <td id=\"T_7111c_row6_col174\" class=\"data row6 col174\" >0</td>\n                        <td id=\"T_7111c_row6_col175\" class=\"data row6 col175\" >0</td>\n                        <td id=\"T_7111c_row6_col176\" class=\"data row6 col176\" >1</td>\n                        <td id=\"T_7111c_row6_col177\" class=\"data row6 col177\" >0</td>\n                        <td id=\"T_7111c_row6_col178\" class=\"data row6 col178\" >1</td>\n                        <td id=\"T_7111c_row6_col179\" class=\"data row6 col179\" >1</td>\n                        <td id=\"T_7111c_row6_col180\" class=\"data row6 col180\" >0</td>\n                        <td id=\"T_7111c_row6_col181\" class=\"data row6 col181\" >1</td>\n                        <td id=\"T_7111c_row6_col182\" class=\"data row6 col182\" >0</td>\n                        <td id=\"T_7111c_row6_col183\" class=\"data row6 col183\" >1</td>\n                        <td id=\"T_7111c_row6_col184\" class=\"data row6 col184\" >0</td>\n                        <td id=\"T_7111c_row6_col185\" class=\"data row6 col185\" >1</td>\n                        <td id=\"T_7111c_row6_col186\" class=\"data row6 col186\" >0</td>\n                        <td id=\"T_7111c_row6_col187\" class=\"data row6 col187\" >0</td>\n                        <td id=\"T_7111c_row6_col188\" class=\"data row6 col188\" >1</td>\n                        <td id=\"T_7111c_row6_col189\" class=\"data row6 col189\" >0</td>\n                        <td id=\"T_7111c_row6_col190\" class=\"data row6 col190\" >1</td>\n                        <td id=\"T_7111c_row6_col191\" class=\"data row6 col191\" >1</td>\n                        <td id=\"T_7111c_row6_col192\" class=\"data row6 col192\" >1</td>\n                        <td id=\"T_7111c_row6_col193\" class=\"data row6 col193\" >1</td>\n                        <td id=\"T_7111c_row6_col194\" class=\"data row6 col194\" >0</td>\n                        <td id=\"T_7111c_row6_col195\" class=\"data row6 col195\" >1</td>\n                        <td id=\"T_7111c_row6_col196\" class=\"data row6 col196\" >0</td>\n                        <td id=\"T_7111c_row6_col197\" class=\"data row6 col197\" >0</td>\n                        <td id=\"T_7111c_row6_col198\" class=\"data row6 col198\" >0</td>\n                        <td id=\"T_7111c_row6_col199\" class=\"data row6 col199\" >1</td>\n                        <td id=\"T_7111c_row6_col200\" class=\"data row6 col200\" >0</td>\n                        <td id=\"T_7111c_row6_col201\" class=\"data row6 col201\" >0</td>\n                        <td id=\"T_7111c_row6_col202\" class=\"data row6 col202\" >0</td>\n                        <td id=\"T_7111c_row6_col203\" class=\"data row6 col203\" >0</td>\n            </tr>\n            <tr>\n                        <th id=\"T_7111c_level0_row7\" class=\"row_heading level0 row7\" >F4</th>\n                        <td id=\"T_7111c_row7_col0\" class=\"data row7 col0\" >0</td>\n                        <td id=\"T_7111c_row7_col1\" class=\"data row7 col1\" >1</td>\n                        <td id=\"T_7111c_row7_col2\" class=\"data row7 col2\" >1</td>\n                        <td id=\"T_7111c_row7_col3\" class=\"data row7 col3\" >0</td>\n                        <td id=\"T_7111c_row7_col4\" class=\"data row7 col4\" >1</td>\n                        <td id=\"T_7111c_row7_col5\" class=\"data row7 col5\" >1</td>\n                        <td id=\"T_7111c_row7_col6\" class=\"data row7 col6\" >1</td>\n                        <td id=\"T_7111c_row7_col7\" class=\"data row7 col7\" >1</td>\n                        <td id=\"T_7111c_row7_col8\" class=\"data row7 col8\" >0</td>\n                        <td id=\"T_7111c_row7_col9\" class=\"data row7 col9\" >1</td>\n                        <td id=\"T_7111c_row7_col10\" class=\"data row7 col10\" >1</td>\n                        <td id=\"T_7111c_row7_col11\" class=\"data row7 col11\" >1</td>\n                        <td id=\"T_7111c_row7_col12\" class=\"data row7 col12\" >1</td>\n                        <td id=\"T_7111c_row7_col13\" class=\"data row7 col13\" >1</td>\n                        <td id=\"T_7111c_row7_col14\" class=\"data row7 col14\" >0</td>\n                        <td id=\"T_7111c_row7_col15\" class=\"data row7 col15\" >0</td>\n                        <td id=\"T_7111c_row7_col16\" class=\"data row7 col16\" >0</td>\n                        <td id=\"T_7111c_row7_col17\" class=\"data row7 col17\" >0</td>\n                        <td id=\"T_7111c_row7_col18\" class=\"data row7 col18\" >1</td>\n                        <td id=\"T_7111c_row7_col19\" class=\"data row7 col19\" >1</td>\n                        <td id=\"T_7111c_row7_col20\" class=\"data row7 col20\" >1</td>\n                        <td id=\"T_7111c_row7_col21\" class=\"data row7 col21\" >1</td>\n                        <td id=\"T_7111c_row7_col22\" class=\"data row7 col22\" >1</td>\n                        <td id=\"T_7111c_row7_col23\" class=\"data row7 col23\" >1</td>\n                        <td id=\"T_7111c_row7_col24\" class=\"data row7 col24\" >1</td>\n                        <td id=\"T_7111c_row7_col25\" class=\"data row7 col25\" >0</td>\n                        <td id=\"T_7111c_row7_col26\" class=\"data row7 col26\" >0</td>\n                        <td id=\"T_7111c_row7_col27\" class=\"data row7 col27\" >1</td>\n                        <td id=\"T_7111c_row7_col28\" class=\"data row7 col28\" >0</td>\n                        <td id=\"T_7111c_row7_col29\" class=\"data row7 col29\" >1</td>\n                        <td id=\"T_7111c_row7_col30\" class=\"data row7 col30\" >0</td>\n                        <td id=\"T_7111c_row7_col31\" class=\"data row7 col31\" >0</td>\n                        <td id=\"T_7111c_row7_col32\" class=\"data row7 col32\" >1</td>\n                        <td id=\"T_7111c_row7_col33\" class=\"data row7 col33\" >0</td>\n                        <td id=\"T_7111c_row7_col34\" class=\"data row7 col34\" >0</td>\n                        <td id=\"T_7111c_row7_col35\" class=\"data row7 col35\" >0</td>\n                        <td id=\"T_7111c_row7_col36\" class=\"data row7 col36\" >0</td>\n                        <td id=\"T_7111c_row7_col37\" class=\"data row7 col37\" >1</td>\n                        <td id=\"T_7111c_row7_col38\" class=\"data row7 col38\" >0</td>\n                        <td id=\"T_7111c_row7_col39\" class=\"data row7 col39\" >1</td>\n                        <td id=\"T_7111c_row7_col40\" class=\"data row7 col40\" >1</td>\n                        <td id=\"T_7111c_row7_col41\" class=\"data row7 col41\" >0</td>\n                        <td id=\"T_7111c_row7_col42\" class=\"data row7 col42\" >1</td>\n                        <td id=\"T_7111c_row7_col43\" class=\"data row7 col43\" >1</td>\n                        <td id=\"T_7111c_row7_col44\" class=\"data row7 col44\" >0</td>\n                        <td id=\"T_7111c_row7_col45\" class=\"data row7 col45\" >1</td>\n                        <td id=\"T_7111c_row7_col46\" class=\"data row7 col46\" >1</td>\n                        <td id=\"T_7111c_row7_col47\" class=\"data row7 col47\" >1</td>\n                        <td id=\"T_7111c_row7_col48\" class=\"data row7 col48\" >1</td>\n                        <td id=\"T_7111c_row7_col49\" class=\"data row7 col49\" >1</td>\n                        <td id=\"T_7111c_row7_col50\" class=\"data row7 col50\" >1</td>\n                        <td id=\"T_7111c_row7_col51\" class=\"data row7 col51\" >0</td>\n                        <td id=\"T_7111c_row7_col52\" class=\"data row7 col52\" >0</td>\n                        <td id=\"T_7111c_row7_col53\" class=\"data row7 col53\" >1</td>\n                        <td id=\"T_7111c_row7_col54\" class=\"data row7 col54\" >0</td>\n                        <td id=\"T_7111c_row7_col55\" class=\"data row7 col55\" >0</td>\n                        <td id=\"T_7111c_row7_col56\" class=\"data row7 col56\" >0</td>\n                        <td id=\"T_7111c_row7_col57\" class=\"data row7 col57\" >0</td>\n                        <td id=\"T_7111c_row7_col58\" class=\"data row7 col58\" >0</td>\n                        <td id=\"T_7111c_row7_col59\" class=\"data row7 col59\" >1</td>\n                        <td id=\"T_7111c_row7_col60\" class=\"data row7 col60\" >0</td>\n                        <td id=\"T_7111c_row7_col61\" class=\"data row7 col61\" >0</td>\n                        <td id=\"T_7111c_row7_col62\" class=\"data row7 col62\" >0</td>\n                        <td id=\"T_7111c_row7_col63\" class=\"data row7 col63\" >0</td>\n                        <td id=\"T_7111c_row7_col64\" class=\"data row7 col64\" >0</td>\n                        <td id=\"T_7111c_row7_col65\" class=\"data row7 col65\" >0</td>\n                        <td id=\"T_7111c_row7_col66\" class=\"data row7 col66\" >0</td>\n                        <td id=\"T_7111c_row7_col67\" class=\"data row7 col67\" >1</td>\n                        <td id=\"T_7111c_row7_col68\" class=\"data row7 col68\" >0</td>\n                        <td id=\"T_7111c_row7_col69\" class=\"data row7 col69\" >1</td>\n                        <td id=\"T_7111c_row7_col70\" class=\"data row7 col70\" >0</td>\n                        <td id=\"T_7111c_row7_col71\" class=\"data row7 col71\" >1</td>\n                        <td id=\"T_7111c_row7_col72\" class=\"data row7 col72\" >1</td>\n                        <td id=\"T_7111c_row7_col73\" class=\"data row7 col73\" >1</td>\n                        <td id=\"T_7111c_row7_col74\" class=\"data row7 col74\" >1</td>\n                        <td id=\"T_7111c_row7_col75\" class=\"data row7 col75\" >1</td>\n                        <td id=\"T_7111c_row7_col76\" class=\"data row7 col76\" >1</td>\n                        <td id=\"T_7111c_row7_col77\" class=\"data row7 col77\" >1</td>\n                        <td id=\"T_7111c_row7_col78\" class=\"data row7 col78\" >1</td>\n                        <td id=\"T_7111c_row7_col79\" class=\"data row7 col79\" >0</td>\n                        <td id=\"T_7111c_row7_col80\" class=\"data row7 col80\" >0</td>\n                        <td id=\"T_7111c_row7_col81\" class=\"data row7 col81\" >0</td>\n                        <td id=\"T_7111c_row7_col82\" class=\"data row7 col82\" >1</td>\n                        <td id=\"T_7111c_row7_col83\" class=\"data row7 col83\" >1</td>\n                        <td id=\"T_7111c_row7_col84\" class=\"data row7 col84\" >0</td>\n                        <td id=\"T_7111c_row7_col85\" class=\"data row7 col85\" >1</td>\n                        <td id=\"T_7111c_row7_col86\" class=\"data row7 col86\" >0</td>\n                        <td id=\"T_7111c_row7_col87\" class=\"data row7 col87\" >1</td>\n                        <td id=\"T_7111c_row7_col88\" class=\"data row7 col88\" >1</td>\n                        <td id=\"T_7111c_row7_col89\" class=\"data row7 col89\" >1</td>\n                        <td id=\"T_7111c_row7_col90\" class=\"data row7 col90\" >1</td>\n                        <td id=\"T_7111c_row7_col91\" class=\"data row7 col91\" >1</td>\n                        <td id=\"T_7111c_row7_col92\" class=\"data row7 col92\" >0</td>\n                        <td id=\"T_7111c_row7_col93\" class=\"data row7 col93\" >0</td>\n                        <td id=\"T_7111c_row7_col94\" class=\"data row7 col94\" >1</td>\n                        <td id=\"T_7111c_row7_col95\" class=\"data row7 col95\" >1</td>\n                        <td id=\"T_7111c_row7_col96\" class=\"data row7 col96\" >1</td>\n                        <td id=\"T_7111c_row7_col97\" class=\"data row7 col97\" >1</td>\n                        <td id=\"T_7111c_row7_col98\" class=\"data row7 col98\" >1</td>\n                        <td id=\"T_7111c_row7_col99\" class=\"data row7 col99\" >0</td>\n                        <td id=\"T_7111c_row7_col100\" class=\"data row7 col100\" >1</td>\n                        <td id=\"T_7111c_row7_col101\" class=\"data row7 col101\" >1</td>\n                        <td id=\"T_7111c_row7_col102\" class=\"data row7 col102\" >1</td>\n                        <td id=\"T_7111c_row7_col103\" class=\"data row7 col103\" >0</td>\n                        <td id=\"T_7111c_row7_col104\" class=\"data row7 col104\" >1</td>\n                        <td id=\"T_7111c_row7_col105\" class=\"data row7 col105\" >1</td>\n                        <td id=\"T_7111c_row7_col106\" class=\"data row7 col106\" >1</td>\n                        <td id=\"T_7111c_row7_col107\" class=\"data row7 col107\" >1</td>\n                        <td id=\"T_7111c_row7_col108\" class=\"data row7 col108\" >1</td>\n                        <td id=\"T_7111c_row7_col109\" class=\"data row7 col109\" >1</td>\n                        <td id=\"T_7111c_row7_col110\" class=\"data row7 col110\" >0</td>\n                        <td id=\"T_7111c_row7_col111\" class=\"data row7 col111\" >1</td>\n                        <td id=\"T_7111c_row7_col112\" class=\"data row7 col112\" >1</td>\n                        <td id=\"T_7111c_row7_col113\" class=\"data row7 col113\" >0</td>\n                        <td id=\"T_7111c_row7_col114\" class=\"data row7 col114\" >1</td>\n                        <td id=\"T_7111c_row7_col115\" class=\"data row7 col115\" >0</td>\n                        <td id=\"T_7111c_row7_col116\" class=\"data row7 col116\" >1</td>\n                        <td id=\"T_7111c_row7_col117\" class=\"data row7 col117\" >1</td>\n                        <td id=\"T_7111c_row7_col118\" class=\"data row7 col118\" >1</td>\n                        <td id=\"T_7111c_row7_col119\" class=\"data row7 col119\" >0</td>\n                        <td id=\"T_7111c_row7_col120\" class=\"data row7 col120\" >0</td>\n                        <td id=\"T_7111c_row7_col121\" class=\"data row7 col121\" >0</td>\n                        <td id=\"T_7111c_row7_col122\" class=\"data row7 col122\" >0</td>\n                        <td id=\"T_7111c_row7_col123\" class=\"data row7 col123\" >1</td>\n                        <td id=\"T_7111c_row7_col124\" class=\"data row7 col124\" >1</td>\n                        <td id=\"T_7111c_row7_col125\" class=\"data row7 col125\" >0</td>\n                        <td id=\"T_7111c_row7_col126\" class=\"data row7 col126\" >0</td>\n                        <td id=\"T_7111c_row7_col127\" class=\"data row7 col127\" >1</td>\n                        <td id=\"T_7111c_row7_col128\" class=\"data row7 col128\" >0</td>\n                        <td id=\"T_7111c_row7_col129\" class=\"data row7 col129\" >1</td>\n                        <td id=\"T_7111c_row7_col130\" class=\"data row7 col130\" >0</td>\n                        <td id=\"T_7111c_row7_col131\" class=\"data row7 col131\" >1</td>\n                        <td id=\"T_7111c_row7_col132\" class=\"data row7 col132\" >1</td>\n                        <td id=\"T_7111c_row7_col133\" class=\"data row7 col133\" >1</td>\n                        <td id=\"T_7111c_row7_col134\" class=\"data row7 col134\" >0</td>\n                        <td id=\"T_7111c_row7_col135\" class=\"data row7 col135\" >0</td>\n                        <td id=\"T_7111c_row7_col136\" class=\"data row7 col136\" >1</td>\n                        <td id=\"T_7111c_row7_col137\" class=\"data row7 col137\" >0</td>\n                        <td id=\"T_7111c_row7_col138\" class=\"data row7 col138\" >1</td>\n                        <td id=\"T_7111c_row7_col139\" class=\"data row7 col139\" >0</td>\n                        <td id=\"T_7111c_row7_col140\" class=\"data row7 col140\" >1</td>\n                        <td id=\"T_7111c_row7_col141\" class=\"data row7 col141\" >0</td>\n                        <td id=\"T_7111c_row7_col142\" class=\"data row7 col142\" >1</td>\n                        <td id=\"T_7111c_row7_col143\" class=\"data row7 col143\" >0</td>\n                        <td id=\"T_7111c_row7_col144\" class=\"data row7 col144\" >1</td>\n                        <td id=\"T_7111c_row7_col145\" class=\"data row7 col145\" >1</td>\n                        <td id=\"T_7111c_row7_col146\" class=\"data row7 col146\" >0</td>\n                        <td id=\"T_7111c_row7_col147\" class=\"data row7 col147\" >1</td>\n                        <td id=\"T_7111c_row7_col148\" class=\"data row7 col148\" >0</td>\n                        <td id=\"T_7111c_row7_col149\" class=\"data row7 col149\" >1</td>\n                        <td id=\"T_7111c_row7_col150\" class=\"data row7 col150\" >0</td>\n                        <td id=\"T_7111c_row7_col151\" class=\"data row7 col151\" >1</td>\n                        <td id=\"T_7111c_row7_col152\" class=\"data row7 col152\" >0</td>\n                        <td id=\"T_7111c_row7_col153\" class=\"data row7 col153\" >1</td>\n                        <td id=\"T_7111c_row7_col154\" class=\"data row7 col154\" >1</td>\n                        <td id=\"T_7111c_row7_col155\" class=\"data row7 col155\" >1</td>\n                        <td id=\"T_7111c_row7_col156\" class=\"data row7 col156\" >1</td>\n                        <td id=\"T_7111c_row7_col157\" class=\"data row7 col157\" >1</td>\n                        <td id=\"T_7111c_row7_col158\" class=\"data row7 col158\" >0</td>\n                        <td id=\"T_7111c_row7_col159\" class=\"data row7 col159\" >0</td>\n                        <td id=\"T_7111c_row7_col160\" class=\"data row7 col160\" >1</td>\n                        <td id=\"T_7111c_row7_col161\" class=\"data row7 col161\" >1</td>\n                        <td id=\"T_7111c_row7_col162\" class=\"data row7 col162\" >1</td>\n                        <td id=\"T_7111c_row7_col163\" class=\"data row7 col163\" >0</td>\n                        <td id=\"T_7111c_row7_col164\" class=\"data row7 col164\" >1</td>\n                        <td id=\"T_7111c_row7_col165\" class=\"data row7 col165\" >1</td>\n                        <td id=\"T_7111c_row7_col166\" class=\"data row7 col166\" >1</td>\n                        <td id=\"T_7111c_row7_col167\" class=\"data row7 col167\" >1</td>\n                        <td id=\"T_7111c_row7_col168\" class=\"data row7 col168\" >1</td>\n                        <td id=\"T_7111c_row7_col169\" class=\"data row7 col169\" >0</td>\n                        <td id=\"T_7111c_row7_col170\" class=\"data row7 col170\" >1</td>\n                        <td id=\"T_7111c_row7_col171\" class=\"data row7 col171\" >1</td>\n                        <td id=\"T_7111c_row7_col172\" class=\"data row7 col172\" >1</td>\n                        <td id=\"T_7111c_row7_col173\" class=\"data row7 col173\" >1</td>\n                        <td id=\"T_7111c_row7_col174\" class=\"data row7 col174\" >1</td>\n                        <td id=\"T_7111c_row7_col175\" class=\"data row7 col175\" >1</td>\n                        <td id=\"T_7111c_row7_col176\" class=\"data row7 col176\" >1</td>\n                        <td id=\"T_7111c_row7_col177\" class=\"data row7 col177\" >0</td>\n                        <td id=\"T_7111c_row7_col178\" class=\"data row7 col178\" >1</td>\n                        <td id=\"T_7111c_row7_col179\" class=\"data row7 col179\" >1</td>\n                        <td id=\"T_7111c_row7_col180\" class=\"data row7 col180\" >1</td>\n                        <td id=\"T_7111c_row7_col181\" class=\"data row7 col181\" >1</td>\n                        <td id=\"T_7111c_row7_col182\" class=\"data row7 col182\" >0</td>\n                        <td id=\"T_7111c_row7_col183\" class=\"data row7 col183\" >1</td>\n                        <td id=\"T_7111c_row7_col184\" class=\"data row7 col184\" >0</td>\n                        <td id=\"T_7111c_row7_col185\" class=\"data row7 col185\" >1</td>\n                        <td id=\"T_7111c_row7_col186\" class=\"data row7 col186\" >0</td>\n                        <td id=\"T_7111c_row7_col187\" class=\"data row7 col187\" >0</td>\n                        <td id=\"T_7111c_row7_col188\" class=\"data row7 col188\" >1</td>\n                        <td id=\"T_7111c_row7_col189\" class=\"data row7 col189\" >0</td>\n                        <td id=\"T_7111c_row7_col190\" class=\"data row7 col190\" >1</td>\n                        <td id=\"T_7111c_row7_col191\" class=\"data row7 col191\" >1</td>\n                        <td id=\"T_7111c_row7_col192\" class=\"data row7 col192\" >1</td>\n                        <td id=\"T_7111c_row7_col193\" class=\"data row7 col193\" >1</td>\n                        <td id=\"T_7111c_row7_col194\" class=\"data row7 col194\" >0</td>\n                        <td id=\"T_7111c_row7_col195\" class=\"data row7 col195\" >1</td>\n                        <td id=\"T_7111c_row7_col196\" class=\"data row7 col196\" >1</td>\n                        <td id=\"T_7111c_row7_col197\" class=\"data row7 col197\" >0</td>\n                        <td id=\"T_7111c_row7_col198\" class=\"data row7 col198\" >0</td>\n                        <td id=\"T_7111c_row7_col199\" class=\"data row7 col199\" >1</td>\n                        <td id=\"T_7111c_row7_col200\" class=\"data row7 col200\" >0</td>\n                        <td id=\"T_7111c_row7_col201\" class=\"data row7 col201\" >1</td>\n                        <td id=\"T_7111c_row7_col202\" class=\"data row7 col202\" >0</td>\n                        <td id=\"T_7111c_row7_col203\" class=\"data row7 col203\" >1</td>\n            </tr>\n            <tr>\n                        <th id=\"T_7111c_level0_row8\" class=\"row_heading level0 row8\" >F3</th>\n                        <td id=\"T_7111c_row8_col0\" class=\"data row8 col0\" >1</td>\n                        <td id=\"T_7111c_row8_col1\" class=\"data row8 col1\" >1</td>\n                        <td id=\"T_7111c_row8_col2\" class=\"data row8 col2\" >1</td>\n                        <td id=\"T_7111c_row8_col3\" class=\"data row8 col3\" >1</td>\n                        <td id=\"T_7111c_row8_col4\" class=\"data row8 col4\" >1</td>\n                        <td id=\"T_7111c_row8_col5\" class=\"data row8 col5\" >1</td>\n                        <td id=\"T_7111c_row8_col6\" class=\"data row8 col6\" >1</td>\n                        <td id=\"T_7111c_row8_col7\" class=\"data row8 col7\" >1</td>\n                        <td id=\"T_7111c_row8_col8\" class=\"data row8 col8\" >0</td>\n                        <td id=\"T_7111c_row8_col9\" class=\"data row8 col9\" >1</td>\n                        <td id=\"T_7111c_row8_col10\" class=\"data row8 col10\" >1</td>\n                        <td id=\"T_7111c_row8_col11\" class=\"data row8 col11\" >1</td>\n                        <td id=\"T_7111c_row8_col12\" class=\"data row8 col12\" >1</td>\n                        <td id=\"T_7111c_row8_col13\" class=\"data row8 col13\" >1</td>\n                        <td id=\"T_7111c_row8_col14\" class=\"data row8 col14\" >0</td>\n                        <td id=\"T_7111c_row8_col15\" class=\"data row8 col15\" >0</td>\n                        <td id=\"T_7111c_row8_col16\" class=\"data row8 col16\" >1</td>\n                        <td id=\"T_7111c_row8_col17\" class=\"data row8 col17\" >1</td>\n                        <td id=\"T_7111c_row8_col18\" class=\"data row8 col18\" >1</td>\n                        <td id=\"T_7111c_row8_col19\" class=\"data row8 col19\" >1</td>\n                        <td id=\"T_7111c_row8_col20\" class=\"data row8 col20\" >1</td>\n                        <td id=\"T_7111c_row8_col21\" class=\"data row8 col21\" >1</td>\n                        <td id=\"T_7111c_row8_col22\" class=\"data row8 col22\" >1</td>\n                        <td id=\"T_7111c_row8_col23\" class=\"data row8 col23\" >1</td>\n                        <td id=\"T_7111c_row8_col24\" class=\"data row8 col24\" >1</td>\n                        <td id=\"T_7111c_row8_col25\" class=\"data row8 col25\" >0</td>\n                        <td id=\"T_7111c_row8_col26\" class=\"data row8 col26\" >0</td>\n                        <td id=\"T_7111c_row8_col27\" class=\"data row8 col27\" >1</td>\n                        <td id=\"T_7111c_row8_col28\" class=\"data row8 col28\" >1</td>\n                        <td id=\"T_7111c_row8_col29\" class=\"data row8 col29\" >1</td>\n                        <td id=\"T_7111c_row8_col30\" class=\"data row8 col30\" >1</td>\n                        <td id=\"T_7111c_row8_col31\" class=\"data row8 col31\" >1</td>\n                        <td id=\"T_7111c_row8_col32\" class=\"data row8 col32\" >1</td>\n                        <td id=\"T_7111c_row8_col33\" class=\"data row8 col33\" >1</td>\n                        <td id=\"T_7111c_row8_col34\" class=\"data row8 col34\" >1</td>\n                        <td id=\"T_7111c_row8_col35\" class=\"data row8 col35\" >0</td>\n                        <td id=\"T_7111c_row8_col36\" class=\"data row8 col36\" >1</td>\n                        <td id=\"T_7111c_row8_col37\" class=\"data row8 col37\" >1</td>\n                        <td id=\"T_7111c_row8_col38\" class=\"data row8 col38\" >1</td>\n                        <td id=\"T_7111c_row8_col39\" class=\"data row8 col39\" >1</td>\n                        <td id=\"T_7111c_row8_col40\" class=\"data row8 col40\" >1</td>\n                        <td id=\"T_7111c_row8_col41\" class=\"data row8 col41\" >1</td>\n                        <td id=\"T_7111c_row8_col42\" class=\"data row8 col42\" >1</td>\n                        <td id=\"T_7111c_row8_col43\" class=\"data row8 col43\" >1</td>\n                        <td id=\"T_7111c_row8_col44\" class=\"data row8 col44\" >0</td>\n                        <td id=\"T_7111c_row8_col45\" class=\"data row8 col45\" >1</td>\n                        <td id=\"T_7111c_row8_col46\" class=\"data row8 col46\" >1</td>\n                        <td id=\"T_7111c_row8_col47\" class=\"data row8 col47\" >1</td>\n                        <td id=\"T_7111c_row8_col48\" class=\"data row8 col48\" >1</td>\n                        <td id=\"T_7111c_row8_col49\" class=\"data row8 col49\" >1</td>\n                        <td id=\"T_7111c_row8_col50\" class=\"data row8 col50\" >1</td>\n                        <td id=\"T_7111c_row8_col51\" class=\"data row8 col51\" >1</td>\n                        <td id=\"T_7111c_row8_col52\" class=\"data row8 col52\" >1</td>\n                        <td id=\"T_7111c_row8_col53\" class=\"data row8 col53\" >1</td>\n                        <td id=\"T_7111c_row8_col54\" class=\"data row8 col54\" >0</td>\n                        <td id=\"T_7111c_row8_col55\" class=\"data row8 col55\" >0</td>\n                        <td id=\"T_7111c_row8_col56\" class=\"data row8 col56\" >1</td>\n                        <td id=\"T_7111c_row8_col57\" class=\"data row8 col57\" >0</td>\n                        <td id=\"T_7111c_row8_col58\" class=\"data row8 col58\" >0</td>\n                        <td id=\"T_7111c_row8_col59\" class=\"data row8 col59\" >1</td>\n                        <td id=\"T_7111c_row8_col60\" class=\"data row8 col60\" >0</td>\n                        <td id=\"T_7111c_row8_col61\" class=\"data row8 col61\" >1</td>\n                        <td id=\"T_7111c_row8_col62\" class=\"data row8 col62\" >1</td>\n                        <td id=\"T_7111c_row8_col63\" class=\"data row8 col63\" >1</td>\n                        <td id=\"T_7111c_row8_col64\" class=\"data row8 col64\" >1</td>\n                        <td id=\"T_7111c_row8_col65\" class=\"data row8 col65\" >1</td>\n                        <td id=\"T_7111c_row8_col66\" class=\"data row8 col66\" >0</td>\n                        <td id=\"T_7111c_row8_col67\" class=\"data row8 col67\" >1</td>\n                        <td id=\"T_7111c_row8_col68\" class=\"data row8 col68\" >0</td>\n                        <td id=\"T_7111c_row8_col69\" class=\"data row8 col69\" >1</td>\n                        <td id=\"T_7111c_row8_col70\" class=\"data row8 col70\" >1</td>\n                        <td id=\"T_7111c_row8_col71\" class=\"data row8 col71\" >1</td>\n                        <td id=\"T_7111c_row8_col72\" class=\"data row8 col72\" >1</td>\n                        <td id=\"T_7111c_row8_col73\" class=\"data row8 col73\" >1</td>\n                        <td id=\"T_7111c_row8_col74\" class=\"data row8 col74\" >1</td>\n                        <td id=\"T_7111c_row8_col75\" class=\"data row8 col75\" >1</td>\n                        <td id=\"T_7111c_row8_col76\" class=\"data row8 col76\" >1</td>\n                        <td id=\"T_7111c_row8_col77\" class=\"data row8 col77\" >1</td>\n                        <td id=\"T_7111c_row8_col78\" class=\"data row8 col78\" >1</td>\n                        <td id=\"T_7111c_row8_col79\" class=\"data row8 col79\" >1</td>\n                        <td id=\"T_7111c_row8_col80\" class=\"data row8 col80\" >1</td>\n                        <td id=\"T_7111c_row8_col81\" class=\"data row8 col81\" >1</td>\n                        <td id=\"T_7111c_row8_col82\" class=\"data row8 col82\" >1</td>\n                        <td id=\"T_7111c_row8_col83\" class=\"data row8 col83\" >1</td>\n                        <td id=\"T_7111c_row8_col84\" class=\"data row8 col84\" >1</td>\n                        <td id=\"T_7111c_row8_col85\" class=\"data row8 col85\" >1</td>\n                        <td id=\"T_7111c_row8_col86\" class=\"data row8 col86\" >1</td>\n                        <td id=\"T_7111c_row8_col87\" class=\"data row8 col87\" >1</td>\n                        <td id=\"T_7111c_row8_col88\" class=\"data row8 col88\" >1</td>\n                        <td id=\"T_7111c_row8_col89\" class=\"data row8 col89\" >1</td>\n                        <td id=\"T_7111c_row8_col90\" class=\"data row8 col90\" >1</td>\n                        <td id=\"T_7111c_row8_col91\" class=\"data row8 col91\" >1</td>\n                        <td id=\"T_7111c_row8_col92\" class=\"data row8 col92\" >0</td>\n                        <td id=\"T_7111c_row8_col93\" class=\"data row8 col93\" >0</td>\n                        <td id=\"T_7111c_row8_col94\" class=\"data row8 col94\" >1</td>\n                        <td id=\"T_7111c_row8_col95\" class=\"data row8 col95\" >1</td>\n                        <td id=\"T_7111c_row8_col96\" class=\"data row8 col96\" >1</td>\n                        <td id=\"T_7111c_row8_col97\" class=\"data row8 col97\" >1</td>\n                        <td id=\"T_7111c_row8_col98\" class=\"data row8 col98\" >1</td>\n                        <td id=\"T_7111c_row8_col99\" class=\"data row8 col99\" >0</td>\n                        <td id=\"T_7111c_row8_col100\" class=\"data row8 col100\" >1</td>\n                        <td id=\"T_7111c_row8_col101\" class=\"data row8 col101\" >1</td>\n                        <td id=\"T_7111c_row8_col102\" class=\"data row8 col102\" >1</td>\n                        <td id=\"T_7111c_row8_col103\" class=\"data row8 col103\" >1</td>\n                        <td id=\"T_7111c_row8_col104\" class=\"data row8 col104\" >1</td>\n                        <td id=\"T_7111c_row8_col105\" class=\"data row8 col105\" >0</td>\n                        <td id=\"T_7111c_row8_col106\" class=\"data row8 col106\" >1</td>\n                        <td id=\"T_7111c_row8_col107\" class=\"data row8 col107\" >1</td>\n                        <td id=\"T_7111c_row8_col108\" class=\"data row8 col108\" >1</td>\n                        <td id=\"T_7111c_row8_col109\" class=\"data row8 col109\" >1</td>\n                        <td id=\"T_7111c_row8_col110\" class=\"data row8 col110\" >1</td>\n                        <td id=\"T_7111c_row8_col111\" class=\"data row8 col111\" >1</td>\n                        <td id=\"T_7111c_row8_col112\" class=\"data row8 col112\" >1</td>\n                        <td id=\"T_7111c_row8_col113\" class=\"data row8 col113\" >1</td>\n                        <td id=\"T_7111c_row8_col114\" class=\"data row8 col114\" >1</td>\n                        <td id=\"T_7111c_row8_col115\" class=\"data row8 col115\" >1</td>\n                        <td id=\"T_7111c_row8_col116\" class=\"data row8 col116\" >1</td>\n                        <td id=\"T_7111c_row8_col117\" class=\"data row8 col117\" >1</td>\n                        <td id=\"T_7111c_row8_col118\" class=\"data row8 col118\" >1</td>\n                        <td id=\"T_7111c_row8_col119\" class=\"data row8 col119\" >0</td>\n                        <td id=\"T_7111c_row8_col120\" class=\"data row8 col120\" >1</td>\n                        <td id=\"T_7111c_row8_col121\" class=\"data row8 col121\" >1</td>\n                        <td id=\"T_7111c_row8_col122\" class=\"data row8 col122\" >1</td>\n                        <td id=\"T_7111c_row8_col123\" class=\"data row8 col123\" >1</td>\n                        <td id=\"T_7111c_row8_col124\" class=\"data row8 col124\" >1</td>\n                        <td id=\"T_7111c_row8_col125\" class=\"data row8 col125\" >0</td>\n                        <td id=\"T_7111c_row8_col126\" class=\"data row8 col126\" >1</td>\n                        <td id=\"T_7111c_row8_col127\" class=\"data row8 col127\" >1</td>\n                        <td id=\"T_7111c_row8_col128\" class=\"data row8 col128\" >1</td>\n                        <td id=\"T_7111c_row8_col129\" class=\"data row8 col129\" >1</td>\n                        <td id=\"T_7111c_row8_col130\" class=\"data row8 col130\" >1</td>\n                        <td id=\"T_7111c_row8_col131\" class=\"data row8 col131\" >1</td>\n                        <td id=\"T_7111c_row8_col132\" class=\"data row8 col132\" >1</td>\n                        <td id=\"T_7111c_row8_col133\" class=\"data row8 col133\" >1</td>\n                        <td id=\"T_7111c_row8_col134\" class=\"data row8 col134\" >1</td>\n                        <td id=\"T_7111c_row8_col135\" class=\"data row8 col135\" >1</td>\n                        <td id=\"T_7111c_row8_col136\" class=\"data row8 col136\" >0</td>\n                        <td id=\"T_7111c_row8_col137\" class=\"data row8 col137\" >1</td>\n                        <td id=\"T_7111c_row8_col138\" class=\"data row8 col138\" >1</td>\n                        <td id=\"T_7111c_row8_col139\" class=\"data row8 col139\" >0</td>\n                        <td id=\"T_7111c_row8_col140\" class=\"data row8 col140\" >1</td>\n                        <td id=\"T_7111c_row8_col141\" class=\"data row8 col141\" >0</td>\n                        <td id=\"T_7111c_row8_col142\" class=\"data row8 col142\" >1</td>\n                        <td id=\"T_7111c_row8_col143\" class=\"data row8 col143\" >1</td>\n                        <td id=\"T_7111c_row8_col144\" class=\"data row8 col144\" >1</td>\n                        <td id=\"T_7111c_row8_col145\" class=\"data row8 col145\" >1</td>\n                        <td id=\"T_7111c_row8_col146\" class=\"data row8 col146\" >0</td>\n                        <td id=\"T_7111c_row8_col147\" class=\"data row8 col147\" >1</td>\n                        <td id=\"T_7111c_row8_col148\" class=\"data row8 col148\" >1</td>\n                        <td id=\"T_7111c_row8_col149\" class=\"data row8 col149\" >1</td>\n                        <td id=\"T_7111c_row8_col150\" class=\"data row8 col150\" >0</td>\n                        <td id=\"T_7111c_row8_col151\" class=\"data row8 col151\" >1</td>\n                        <td id=\"T_7111c_row8_col152\" class=\"data row8 col152\" >1</td>\n                        <td id=\"T_7111c_row8_col153\" class=\"data row8 col153\" >1</td>\n                        <td id=\"T_7111c_row8_col154\" class=\"data row8 col154\" >1</td>\n                        <td id=\"T_7111c_row8_col155\" class=\"data row8 col155\" >1</td>\n                        <td id=\"T_7111c_row8_col156\" class=\"data row8 col156\" >1</td>\n                        <td id=\"T_7111c_row8_col157\" class=\"data row8 col157\" >1</td>\n                        <td id=\"T_7111c_row8_col158\" class=\"data row8 col158\" >1</td>\n                        <td id=\"T_7111c_row8_col159\" class=\"data row8 col159\" >0</td>\n                        <td id=\"T_7111c_row8_col160\" class=\"data row8 col160\" >1</td>\n                        <td id=\"T_7111c_row8_col161\" class=\"data row8 col161\" >1</td>\n                        <td id=\"T_7111c_row8_col162\" class=\"data row8 col162\" >1</td>\n                        <td id=\"T_7111c_row8_col163\" class=\"data row8 col163\" >1</td>\n                        <td id=\"T_7111c_row8_col164\" class=\"data row8 col164\" >1</td>\n                        <td id=\"T_7111c_row8_col165\" class=\"data row8 col165\" >1</td>\n                        <td id=\"T_7111c_row8_col166\" class=\"data row8 col166\" >1</td>\n                        <td id=\"T_7111c_row8_col167\" class=\"data row8 col167\" >1</td>\n                        <td id=\"T_7111c_row8_col168\" class=\"data row8 col168\" >1</td>\n                        <td id=\"T_7111c_row8_col169\" class=\"data row8 col169\" >0</td>\n                        <td id=\"T_7111c_row8_col170\" class=\"data row8 col170\" >1</td>\n                        <td id=\"T_7111c_row8_col171\" class=\"data row8 col171\" >1</td>\n                        <td id=\"T_7111c_row8_col172\" class=\"data row8 col172\" >1</td>\n                        <td id=\"T_7111c_row8_col173\" class=\"data row8 col173\" >1</td>\n                        <td id=\"T_7111c_row8_col174\" class=\"data row8 col174\" >1</td>\n                        <td id=\"T_7111c_row8_col175\" class=\"data row8 col175\" >1</td>\n                        <td id=\"T_7111c_row8_col176\" class=\"data row8 col176\" >1</td>\n                        <td id=\"T_7111c_row8_col177\" class=\"data row8 col177\" >1</td>\n                        <td id=\"T_7111c_row8_col178\" class=\"data row8 col178\" >1</td>\n                        <td id=\"T_7111c_row8_col179\" class=\"data row8 col179\" >1</td>\n                        <td id=\"T_7111c_row8_col180\" class=\"data row8 col180\" >1</td>\n                        <td id=\"T_7111c_row8_col181\" class=\"data row8 col181\" >1</td>\n                        <td id=\"T_7111c_row8_col182\" class=\"data row8 col182\" >1</td>\n                        <td id=\"T_7111c_row8_col183\" class=\"data row8 col183\" >1</td>\n                        <td id=\"T_7111c_row8_col184\" class=\"data row8 col184\" >0</td>\n                        <td id=\"T_7111c_row8_col185\" class=\"data row8 col185\" >1</td>\n                        <td id=\"T_7111c_row8_col186\" class=\"data row8 col186\" >0</td>\n                        <td id=\"T_7111c_row8_col187\" class=\"data row8 col187\" >1</td>\n                        <td id=\"T_7111c_row8_col188\" class=\"data row8 col188\" >1</td>\n                        <td id=\"T_7111c_row8_col189\" class=\"data row8 col189\" >1</td>\n                        <td id=\"T_7111c_row8_col190\" class=\"data row8 col190\" >1</td>\n                        <td id=\"T_7111c_row8_col191\" class=\"data row8 col191\" >1</td>\n                        <td id=\"T_7111c_row8_col192\" class=\"data row8 col192\" >1</td>\n                        <td id=\"T_7111c_row8_col193\" class=\"data row8 col193\" >1</td>\n                        <td id=\"T_7111c_row8_col194\" class=\"data row8 col194\" >1</td>\n                        <td id=\"T_7111c_row8_col195\" class=\"data row8 col195\" >1</td>\n                        <td id=\"T_7111c_row8_col196\" class=\"data row8 col196\" >1</td>\n                        <td id=\"T_7111c_row8_col197\" class=\"data row8 col197\" >0</td>\n                        <td id=\"T_7111c_row8_col198\" class=\"data row8 col198\" >0</td>\n                        <td id=\"T_7111c_row8_col199\" class=\"data row8 col199\" >1</td>\n                        <td id=\"T_7111c_row8_col200\" class=\"data row8 col200\" >1</td>\n                        <td id=\"T_7111c_row8_col201\" class=\"data row8 col201\" >1</td>\n                        <td id=\"T_7111c_row8_col202\" class=\"data row8 col202\" >1</td>\n                        <td id=\"T_7111c_row8_col203\" class=\"data row8 col203\" >1</td>\n            </tr>\n            <tr>\n                        <th id=\"T_7111c_level0_row9\" class=\"row_heading level0 row9\" >F2</th>\n                        <td id=\"T_7111c_row9_col0\" class=\"data row9 col0\" >1</td>\n                        <td id=\"T_7111c_row9_col1\" class=\"data row9 col1\" >1</td>\n                        <td id=\"T_7111c_row9_col2\" class=\"data row9 col2\" >1</td>\n                        <td id=\"T_7111c_row9_col3\" class=\"data row9 col3\" >1</td>\n                        <td id=\"T_7111c_row9_col4\" class=\"data row9 col4\" >1</td>\n                        <td id=\"T_7111c_row9_col5\" class=\"data row9 col5\" >1</td>\n                        <td id=\"T_7111c_row9_col6\" class=\"data row9 col6\" >1</td>\n                        <td id=\"T_7111c_row9_col7\" class=\"data row9 col7\" >1</td>\n                        <td id=\"T_7111c_row9_col8\" class=\"data row9 col8\" >1</td>\n                        <td id=\"T_7111c_row9_col9\" class=\"data row9 col9\" >1</td>\n                        <td id=\"T_7111c_row9_col10\" class=\"data row9 col10\" >1</td>\n                        <td id=\"T_7111c_row9_col11\" class=\"data row9 col11\" >1</td>\n                        <td id=\"T_7111c_row9_col12\" class=\"data row9 col12\" >1</td>\n                        <td id=\"T_7111c_row9_col13\" class=\"data row9 col13\" >1</td>\n                        <td id=\"T_7111c_row9_col14\" class=\"data row9 col14\" >0</td>\n                        <td id=\"T_7111c_row9_col15\" class=\"data row9 col15\" >1</td>\n                        <td id=\"T_7111c_row9_col16\" class=\"data row9 col16\" >1</td>\n                        <td id=\"T_7111c_row9_col17\" class=\"data row9 col17\" >1</td>\n                        <td id=\"T_7111c_row9_col18\" class=\"data row9 col18\" >1</td>\n                        <td id=\"T_7111c_row9_col19\" class=\"data row9 col19\" >1</td>\n                        <td id=\"T_7111c_row9_col20\" class=\"data row9 col20\" >1</td>\n                        <td id=\"T_7111c_row9_col21\" class=\"data row9 col21\" >1</td>\n                        <td id=\"T_7111c_row9_col22\" class=\"data row9 col22\" >1</td>\n                        <td id=\"T_7111c_row9_col23\" class=\"data row9 col23\" >1</td>\n                        <td id=\"T_7111c_row9_col24\" class=\"data row9 col24\" >1</td>\n                        <td id=\"T_7111c_row9_col25\" class=\"data row9 col25\" >1</td>\n                        <td id=\"T_7111c_row9_col26\" class=\"data row9 col26\" >0</td>\n                        <td id=\"T_7111c_row9_col27\" class=\"data row9 col27\" >1</td>\n                        <td id=\"T_7111c_row9_col28\" class=\"data row9 col28\" >1</td>\n                        <td id=\"T_7111c_row9_col29\" class=\"data row9 col29\" >1</td>\n                        <td id=\"T_7111c_row9_col30\" class=\"data row9 col30\" >1</td>\n                        <td id=\"T_7111c_row9_col31\" class=\"data row9 col31\" >1</td>\n                        <td id=\"T_7111c_row9_col32\" class=\"data row9 col32\" >1</td>\n                        <td id=\"T_7111c_row9_col33\" class=\"data row9 col33\" >1</td>\n                        <td id=\"T_7111c_row9_col34\" class=\"data row9 col34\" >1</td>\n                        <td id=\"T_7111c_row9_col35\" class=\"data row9 col35\" >0</td>\n                        <td id=\"T_7111c_row9_col36\" class=\"data row9 col36\" >1</td>\n                        <td id=\"T_7111c_row9_col37\" class=\"data row9 col37\" >1</td>\n                        <td id=\"T_7111c_row9_col38\" class=\"data row9 col38\" >1</td>\n                        <td id=\"T_7111c_row9_col39\" class=\"data row9 col39\" >1</td>\n                        <td id=\"T_7111c_row9_col40\" class=\"data row9 col40\" >1</td>\n                        <td id=\"T_7111c_row9_col41\" class=\"data row9 col41\" >1</td>\n                        <td id=\"T_7111c_row9_col42\" class=\"data row9 col42\" >1</td>\n                        <td id=\"T_7111c_row9_col43\" class=\"data row9 col43\" >1</td>\n                        <td id=\"T_7111c_row9_col44\" class=\"data row9 col44\" >1</td>\n                        <td id=\"T_7111c_row9_col45\" class=\"data row9 col45\" >1</td>\n                        <td id=\"T_7111c_row9_col46\" class=\"data row9 col46\" >1</td>\n                        <td id=\"T_7111c_row9_col47\" class=\"data row9 col47\" >1</td>\n                        <td id=\"T_7111c_row9_col48\" class=\"data row9 col48\" >1</td>\n                        <td id=\"T_7111c_row9_col49\" class=\"data row9 col49\" >1</td>\n                        <td id=\"T_7111c_row9_col50\" class=\"data row9 col50\" >1</td>\n                        <td id=\"T_7111c_row9_col51\" class=\"data row9 col51\" >1</td>\n                        <td id=\"T_7111c_row9_col52\" class=\"data row9 col52\" >1</td>\n                        <td id=\"T_7111c_row9_col53\" class=\"data row9 col53\" >1</td>\n                        <td id=\"T_7111c_row9_col54\" class=\"data row9 col54\" >1</td>\n                        <td id=\"T_7111c_row9_col55\" class=\"data row9 col55\" >0</td>\n                        <td id=\"T_7111c_row9_col56\" class=\"data row9 col56\" >1</td>\n                        <td id=\"T_7111c_row9_col57\" class=\"data row9 col57\" >1</td>\n                        <td id=\"T_7111c_row9_col58\" class=\"data row9 col58\" >1</td>\n                        <td id=\"T_7111c_row9_col59\" class=\"data row9 col59\" >1</td>\n                        <td id=\"T_7111c_row9_col60\" class=\"data row9 col60\" >1</td>\n                        <td id=\"T_7111c_row9_col61\" class=\"data row9 col61\" >1</td>\n                        <td id=\"T_7111c_row9_col62\" class=\"data row9 col62\" >1</td>\n                        <td id=\"T_7111c_row9_col63\" class=\"data row9 col63\" >1</td>\n                        <td id=\"T_7111c_row9_col64\" class=\"data row9 col64\" >1</td>\n                        <td id=\"T_7111c_row9_col65\" class=\"data row9 col65\" >1</td>\n                        <td id=\"T_7111c_row9_col66\" class=\"data row9 col66\" >1</td>\n                        <td id=\"T_7111c_row9_col67\" class=\"data row9 col67\" >1</td>\n                        <td id=\"T_7111c_row9_col68\" class=\"data row9 col68\" >1</td>\n                        <td id=\"T_7111c_row9_col69\" class=\"data row9 col69\" >1</td>\n                        <td id=\"T_7111c_row9_col70\" class=\"data row9 col70\" >1</td>\n                        <td id=\"T_7111c_row9_col71\" class=\"data row9 col71\" >1</td>\n                        <td id=\"T_7111c_row9_col72\" class=\"data row9 col72\" >1</td>\n                        <td id=\"T_7111c_row9_col73\" class=\"data row9 col73\" >1</td>\n                        <td id=\"T_7111c_row9_col74\" class=\"data row9 col74\" >1</td>\n                        <td id=\"T_7111c_row9_col75\" class=\"data row9 col75\" >1</td>\n                        <td id=\"T_7111c_row9_col76\" class=\"data row9 col76\" >1</td>\n                        <td id=\"T_7111c_row9_col77\" class=\"data row9 col77\" >1</td>\n                        <td id=\"T_7111c_row9_col78\" class=\"data row9 col78\" >1</td>\n                        <td id=\"T_7111c_row9_col79\" class=\"data row9 col79\" >1</td>\n                        <td id=\"T_7111c_row9_col80\" class=\"data row9 col80\" >1</td>\n                        <td id=\"T_7111c_row9_col81\" class=\"data row9 col81\" >1</td>\n                        <td id=\"T_7111c_row9_col82\" class=\"data row9 col82\" >1</td>\n                        <td id=\"T_7111c_row9_col83\" class=\"data row9 col83\" >0</td>\n                        <td id=\"T_7111c_row9_col84\" class=\"data row9 col84\" >1</td>\n                        <td id=\"T_7111c_row9_col85\" class=\"data row9 col85\" >1</td>\n                        <td id=\"T_7111c_row9_col86\" class=\"data row9 col86\" >1</td>\n                        <td id=\"T_7111c_row9_col87\" class=\"data row9 col87\" >1</td>\n                        <td id=\"T_7111c_row9_col88\" class=\"data row9 col88\" >1</td>\n                        <td id=\"T_7111c_row9_col89\" class=\"data row9 col89\" >1</td>\n                        <td id=\"T_7111c_row9_col90\" class=\"data row9 col90\" >1</td>\n                        <td id=\"T_7111c_row9_col91\" class=\"data row9 col91\" >1</td>\n                        <td id=\"T_7111c_row9_col92\" class=\"data row9 col92\" >1</td>\n                        <td id=\"T_7111c_row9_col93\" class=\"data row9 col93\" >1</td>\n                        <td id=\"T_7111c_row9_col94\" class=\"data row9 col94\" >1</td>\n                        <td id=\"T_7111c_row9_col95\" class=\"data row9 col95\" >1</td>\n                        <td id=\"T_7111c_row9_col96\" class=\"data row9 col96\" >1</td>\n                        <td id=\"T_7111c_row9_col97\" class=\"data row9 col97\" >1</td>\n                        <td id=\"T_7111c_row9_col98\" class=\"data row9 col98\" >1</td>\n                        <td id=\"T_7111c_row9_col99\" class=\"data row9 col99\" >1</td>\n                        <td id=\"T_7111c_row9_col100\" class=\"data row9 col100\" >1</td>\n                        <td id=\"T_7111c_row9_col101\" class=\"data row9 col101\" >1</td>\n                        <td id=\"T_7111c_row9_col102\" class=\"data row9 col102\" >1</td>\n                        <td id=\"T_7111c_row9_col103\" class=\"data row9 col103\" >1</td>\n                        <td id=\"T_7111c_row9_col104\" class=\"data row9 col104\" >1</td>\n                        <td id=\"T_7111c_row9_col105\" class=\"data row9 col105\" >1</td>\n                        <td id=\"T_7111c_row9_col106\" class=\"data row9 col106\" >1</td>\n                        <td id=\"T_7111c_row9_col107\" class=\"data row9 col107\" >1</td>\n                        <td id=\"T_7111c_row9_col108\" class=\"data row9 col108\" >1</td>\n                        <td id=\"T_7111c_row9_col109\" class=\"data row9 col109\" >1</td>\n                        <td id=\"T_7111c_row9_col110\" class=\"data row9 col110\" >1</td>\n                        <td id=\"T_7111c_row9_col111\" class=\"data row9 col111\" >1</td>\n                        <td id=\"T_7111c_row9_col112\" class=\"data row9 col112\" >1</td>\n                        <td id=\"T_7111c_row9_col113\" class=\"data row9 col113\" >1</td>\n                        <td id=\"T_7111c_row9_col114\" class=\"data row9 col114\" >1</td>\n                        <td id=\"T_7111c_row9_col115\" class=\"data row9 col115\" >1</td>\n                        <td id=\"T_7111c_row9_col116\" class=\"data row9 col116\" >1</td>\n                        <td id=\"T_7111c_row9_col117\" class=\"data row9 col117\" >1</td>\n                        <td id=\"T_7111c_row9_col118\" class=\"data row9 col118\" >1</td>\n                        <td id=\"T_7111c_row9_col119\" class=\"data row9 col119\" >0</td>\n                        <td id=\"T_7111c_row9_col120\" class=\"data row9 col120\" >1</td>\n                        <td id=\"T_7111c_row9_col121\" class=\"data row9 col121\" >1</td>\n                        <td id=\"T_7111c_row9_col122\" class=\"data row9 col122\" >1</td>\n                        <td id=\"T_7111c_row9_col123\" class=\"data row9 col123\" >1</td>\n                        <td id=\"T_7111c_row9_col124\" class=\"data row9 col124\" >1</td>\n                        <td id=\"T_7111c_row9_col125\" class=\"data row9 col125\" >0</td>\n                        <td id=\"T_7111c_row9_col126\" class=\"data row9 col126\" >1</td>\n                        <td id=\"T_7111c_row9_col127\" class=\"data row9 col127\" >1</td>\n                        <td id=\"T_7111c_row9_col128\" class=\"data row9 col128\" >1</td>\n                        <td id=\"T_7111c_row9_col129\" class=\"data row9 col129\" >1</td>\n                        <td id=\"T_7111c_row9_col130\" class=\"data row9 col130\" >1</td>\n                        <td id=\"T_7111c_row9_col131\" class=\"data row9 col131\" >1</td>\n                        <td id=\"T_7111c_row9_col132\" class=\"data row9 col132\" >1</td>\n                        <td id=\"T_7111c_row9_col133\" class=\"data row9 col133\" >1</td>\n                        <td id=\"T_7111c_row9_col134\" class=\"data row9 col134\" >1</td>\n                        <td id=\"T_7111c_row9_col135\" class=\"data row9 col135\" >1</td>\n                        <td id=\"T_7111c_row9_col136\" class=\"data row9 col136\" >0</td>\n                        <td id=\"T_7111c_row9_col137\" class=\"data row9 col137\" >1</td>\n                        <td id=\"T_7111c_row9_col138\" class=\"data row9 col138\" >1</td>\n                        <td id=\"T_7111c_row9_col139\" class=\"data row9 col139\" >1</td>\n                        <td id=\"T_7111c_row9_col140\" class=\"data row9 col140\" >1</td>\n                        <td id=\"T_7111c_row9_col141\" class=\"data row9 col141\" >0</td>\n                        <td id=\"T_7111c_row9_col142\" class=\"data row9 col142\" >1</td>\n                        <td id=\"T_7111c_row9_col143\" class=\"data row9 col143\" >1</td>\n                        <td id=\"T_7111c_row9_col144\" class=\"data row9 col144\" >1</td>\n                        <td id=\"T_7111c_row9_col145\" class=\"data row9 col145\" >1</td>\n                        <td id=\"T_7111c_row9_col146\" class=\"data row9 col146\" >1</td>\n                        <td id=\"T_7111c_row9_col147\" class=\"data row9 col147\" >1</td>\n                        <td id=\"T_7111c_row9_col148\" class=\"data row9 col148\" >1</td>\n                        <td id=\"T_7111c_row9_col149\" class=\"data row9 col149\" >1</td>\n                        <td id=\"T_7111c_row9_col150\" class=\"data row9 col150\" >1</td>\n                        <td id=\"T_7111c_row9_col151\" class=\"data row9 col151\" >1</td>\n                        <td id=\"T_7111c_row9_col152\" class=\"data row9 col152\" >1</td>\n                        <td id=\"T_7111c_row9_col153\" class=\"data row9 col153\" >0</td>\n                        <td id=\"T_7111c_row9_col154\" class=\"data row9 col154\" >0</td>\n                        <td id=\"T_7111c_row9_col155\" class=\"data row9 col155\" >1</td>\n                        <td id=\"T_7111c_row9_col156\" class=\"data row9 col156\" >1</td>\n                        <td id=\"T_7111c_row9_col157\" class=\"data row9 col157\" >1</td>\n                        <td id=\"T_7111c_row9_col158\" class=\"data row9 col158\" >1</td>\n                        <td id=\"T_7111c_row9_col159\" class=\"data row9 col159\" >1</td>\n                        <td id=\"T_7111c_row9_col160\" class=\"data row9 col160\" >1</td>\n                        <td id=\"T_7111c_row9_col161\" class=\"data row9 col161\" >1</td>\n                        <td id=\"T_7111c_row9_col162\" class=\"data row9 col162\" >1</td>\n                        <td id=\"T_7111c_row9_col163\" class=\"data row9 col163\" >1</td>\n                        <td id=\"T_7111c_row9_col164\" class=\"data row9 col164\" >1</td>\n                        <td id=\"T_7111c_row9_col165\" class=\"data row9 col165\" >1</td>\n                        <td id=\"T_7111c_row9_col166\" class=\"data row9 col166\" >1</td>\n                        <td id=\"T_7111c_row9_col167\" class=\"data row9 col167\" >1</td>\n                        <td id=\"T_7111c_row9_col168\" class=\"data row9 col168\" >1</td>\n                        <td id=\"T_7111c_row9_col169\" class=\"data row9 col169\" >1</td>\n                        <td id=\"T_7111c_row9_col170\" class=\"data row9 col170\" >1</td>\n                        <td id=\"T_7111c_row9_col171\" class=\"data row9 col171\" >1</td>\n                        <td id=\"T_7111c_row9_col172\" class=\"data row9 col172\" >1</td>\n                        <td id=\"T_7111c_row9_col173\" class=\"data row9 col173\" >0</td>\n                        <td id=\"T_7111c_row9_col174\" class=\"data row9 col174\" >1</td>\n                        <td id=\"T_7111c_row9_col175\" class=\"data row9 col175\" >1</td>\n                        <td id=\"T_7111c_row9_col176\" class=\"data row9 col176\" >1</td>\n                        <td id=\"T_7111c_row9_col177\" class=\"data row9 col177\" >1</td>\n                        <td id=\"T_7111c_row9_col178\" class=\"data row9 col178\" >1</td>\n                        <td id=\"T_7111c_row9_col179\" class=\"data row9 col179\" >1</td>\n                        <td id=\"T_7111c_row9_col180\" class=\"data row9 col180\" >1</td>\n                        <td id=\"T_7111c_row9_col181\" class=\"data row9 col181\" >1</td>\n                        <td id=\"T_7111c_row9_col182\" class=\"data row9 col182\" >1</td>\n                        <td id=\"T_7111c_row9_col183\" class=\"data row9 col183\" >1</td>\n                        <td id=\"T_7111c_row9_col184\" class=\"data row9 col184\" >1</td>\n                        <td id=\"T_7111c_row9_col185\" class=\"data row9 col185\" >1</td>\n                        <td id=\"T_7111c_row9_col186\" class=\"data row9 col186\" >1</td>\n                        <td id=\"T_7111c_row9_col187\" class=\"data row9 col187\" >1</td>\n                        <td id=\"T_7111c_row9_col188\" class=\"data row9 col188\" >1</td>\n                        <td id=\"T_7111c_row9_col189\" class=\"data row9 col189\" >1</td>\n                        <td id=\"T_7111c_row9_col190\" class=\"data row9 col190\" >1</td>\n                        <td id=\"T_7111c_row9_col191\" class=\"data row9 col191\" >1</td>\n                        <td id=\"T_7111c_row9_col192\" class=\"data row9 col192\" >1</td>\n                        <td id=\"T_7111c_row9_col193\" class=\"data row9 col193\" >1</td>\n                        <td id=\"T_7111c_row9_col194\" class=\"data row9 col194\" >1</td>\n                        <td id=\"T_7111c_row9_col195\" class=\"data row9 col195\" >1</td>\n                        <td id=\"T_7111c_row9_col196\" class=\"data row9 col196\" >1</td>\n                        <td id=\"T_7111c_row9_col197\" class=\"data row9 col197\" >1</td>\n                        <td id=\"T_7111c_row9_col198\" class=\"data row9 col198\" >1</td>\n                        <td id=\"T_7111c_row9_col199\" class=\"data row9 col199\" >1</td>\n                        <td id=\"T_7111c_row9_col200\" class=\"data row9 col200\" >1</td>\n                        <td id=\"T_7111c_row9_col201\" class=\"data row9 col201\" >1</td>\n                        <td id=\"T_7111c_row9_col202\" class=\"data row9 col202\" >1</td>\n                        <td id=\"T_7111c_row9_col203\" class=\"data row9 col203\" >1</td>\n            </tr>\n            <tr>\n                        <th id=\"T_7111c_level0_row10\" class=\"row_heading level0 row10\" >F1</th>\n                        <td id=\"T_7111c_row10_col0\" class=\"data row10 col0\" >0</td>\n                        <td id=\"T_7111c_row10_col1\" class=\"data row10 col1\" >1</td>\n                        <td id=\"T_7111c_row10_col2\" class=\"data row10 col2\" >1</td>\n                        <td id=\"T_7111c_row10_col3\" class=\"data row10 col3\" >1</td>\n                        <td id=\"T_7111c_row10_col4\" class=\"data row10 col4\" >1</td>\n                        <td id=\"T_7111c_row10_col5\" class=\"data row10 col5\" >1</td>\n                        <td id=\"T_7111c_row10_col6\" class=\"data row10 col6\" >1</td>\n                        <td id=\"T_7111c_row10_col7\" class=\"data row10 col7\" >1</td>\n                        <td id=\"T_7111c_row10_col8\" class=\"data row10 col8\" >1</td>\n                        <td id=\"T_7111c_row10_col9\" class=\"data row10 col9\" >1</td>\n                        <td id=\"T_7111c_row10_col10\" class=\"data row10 col10\" >1</td>\n                        <td id=\"T_7111c_row10_col11\" class=\"data row10 col11\" >1</td>\n                        <td id=\"T_7111c_row10_col12\" class=\"data row10 col12\" >1</td>\n                        <td id=\"T_7111c_row10_col13\" class=\"data row10 col13\" >1</td>\n                        <td id=\"T_7111c_row10_col14\" class=\"data row10 col14\" >1</td>\n                        <td id=\"T_7111c_row10_col15\" class=\"data row10 col15\" >1</td>\n                        <td id=\"T_7111c_row10_col16\" class=\"data row10 col16\" >1</td>\n                        <td id=\"T_7111c_row10_col17\" class=\"data row10 col17\" >1</td>\n                        <td id=\"T_7111c_row10_col18\" class=\"data row10 col18\" >1</td>\n                        <td id=\"T_7111c_row10_col19\" class=\"data row10 col19\" >1</td>\n                        <td id=\"T_7111c_row10_col20\" class=\"data row10 col20\" >1</td>\n                        <td id=\"T_7111c_row10_col21\" class=\"data row10 col21\" >1</td>\n                        <td id=\"T_7111c_row10_col22\" class=\"data row10 col22\" >1</td>\n                        <td id=\"T_7111c_row10_col23\" class=\"data row10 col23\" >1</td>\n                        <td id=\"T_7111c_row10_col24\" class=\"data row10 col24\" >1</td>\n                        <td id=\"T_7111c_row10_col25\" class=\"data row10 col25\" >1</td>\n                        <td id=\"T_7111c_row10_col26\" class=\"data row10 col26\" >1</td>\n                        <td id=\"T_7111c_row10_col27\" class=\"data row10 col27\" >1</td>\n                        <td id=\"T_7111c_row10_col28\" class=\"data row10 col28\" >1</td>\n                        <td id=\"T_7111c_row10_col29\" class=\"data row10 col29\" >1</td>\n                        <td id=\"T_7111c_row10_col30\" class=\"data row10 col30\" >1</td>\n                        <td id=\"T_7111c_row10_col31\" class=\"data row10 col31\" >1</td>\n                        <td id=\"T_7111c_row10_col32\" class=\"data row10 col32\" >1</td>\n                        <td id=\"T_7111c_row10_col33\" class=\"data row10 col33\" >1</td>\n                        <td id=\"T_7111c_row10_col34\" class=\"data row10 col34\" >1</td>\n                        <td id=\"T_7111c_row10_col35\" class=\"data row10 col35\" >1</td>\n                        <td id=\"T_7111c_row10_col36\" class=\"data row10 col36\" >1</td>\n                        <td id=\"T_7111c_row10_col37\" class=\"data row10 col37\" >1</td>\n                        <td id=\"T_7111c_row10_col38\" class=\"data row10 col38\" >1</td>\n                        <td id=\"T_7111c_row10_col39\" class=\"data row10 col39\" >1</td>\n                        <td id=\"T_7111c_row10_col40\" class=\"data row10 col40\" >1</td>\n                        <td id=\"T_7111c_row10_col41\" class=\"data row10 col41\" >1</td>\n                        <td id=\"T_7111c_row10_col42\" class=\"data row10 col42\" >1</td>\n                        <td id=\"T_7111c_row10_col43\" class=\"data row10 col43\" >1</td>\n                        <td id=\"T_7111c_row10_col44\" class=\"data row10 col44\" >1</td>\n                        <td id=\"T_7111c_row10_col45\" class=\"data row10 col45\" >1</td>\n                        <td id=\"T_7111c_row10_col46\" class=\"data row10 col46\" >1</td>\n                        <td id=\"T_7111c_row10_col47\" class=\"data row10 col47\" >1</td>\n                        <td id=\"T_7111c_row10_col48\" class=\"data row10 col48\" >1</td>\n                        <td id=\"T_7111c_row10_col49\" class=\"data row10 col49\" >1</td>\n                        <td id=\"T_7111c_row10_col50\" class=\"data row10 col50\" >1</td>\n                        <td id=\"T_7111c_row10_col51\" class=\"data row10 col51\" >1</td>\n                        <td id=\"T_7111c_row10_col52\" class=\"data row10 col52\" >1</td>\n                        <td id=\"T_7111c_row10_col53\" class=\"data row10 col53\" >1</td>\n                        <td id=\"T_7111c_row10_col54\" class=\"data row10 col54\" >1</td>\n                        <td id=\"T_7111c_row10_col55\" class=\"data row10 col55\" >1</td>\n                        <td id=\"T_7111c_row10_col56\" class=\"data row10 col56\" >1</td>\n                        <td id=\"T_7111c_row10_col57\" class=\"data row10 col57\" >1</td>\n                        <td id=\"T_7111c_row10_col58\" class=\"data row10 col58\" >1</td>\n                        <td id=\"T_7111c_row10_col59\" class=\"data row10 col59\" >1</td>\n                        <td id=\"T_7111c_row10_col60\" class=\"data row10 col60\" >1</td>\n                        <td id=\"T_7111c_row10_col61\" class=\"data row10 col61\" >1</td>\n                        <td id=\"T_7111c_row10_col62\" class=\"data row10 col62\" >1</td>\n                        <td id=\"T_7111c_row10_col63\" class=\"data row10 col63\" >1</td>\n                        <td id=\"T_7111c_row10_col64\" class=\"data row10 col64\" >0</td>\n                        <td id=\"T_7111c_row10_col65\" class=\"data row10 col65\" >1</td>\n                        <td id=\"T_7111c_row10_col66\" class=\"data row10 col66\" >1</td>\n                        <td id=\"T_7111c_row10_col67\" class=\"data row10 col67\" >1</td>\n                        <td id=\"T_7111c_row10_col68\" class=\"data row10 col68\" >1</td>\n                        <td id=\"T_7111c_row10_col69\" class=\"data row10 col69\" >1</td>\n                        <td id=\"T_7111c_row10_col70\" class=\"data row10 col70\" >1</td>\n                        <td id=\"T_7111c_row10_col71\" class=\"data row10 col71\" >1</td>\n                        <td id=\"T_7111c_row10_col72\" class=\"data row10 col72\" >1</td>\n                        <td id=\"T_7111c_row10_col73\" class=\"data row10 col73\" >1</td>\n                        <td id=\"T_7111c_row10_col74\" class=\"data row10 col74\" >1</td>\n                        <td id=\"T_7111c_row10_col75\" class=\"data row10 col75\" >1</td>\n                        <td id=\"T_7111c_row10_col76\" class=\"data row10 col76\" >1</td>\n                        <td id=\"T_7111c_row10_col77\" class=\"data row10 col77\" >1</td>\n                        <td id=\"T_7111c_row10_col78\" class=\"data row10 col78\" >1</td>\n                        <td id=\"T_7111c_row10_col79\" class=\"data row10 col79\" >1</td>\n                        <td id=\"T_7111c_row10_col80\" class=\"data row10 col80\" >1</td>\n                        <td id=\"T_7111c_row10_col81\" class=\"data row10 col81\" >1</td>\n                        <td id=\"T_7111c_row10_col82\" class=\"data row10 col82\" >1</td>\n                        <td id=\"T_7111c_row10_col83\" class=\"data row10 col83\" >1</td>\n                        <td id=\"T_7111c_row10_col84\" class=\"data row10 col84\" >1</td>\n                        <td id=\"T_7111c_row10_col85\" class=\"data row10 col85\" >1</td>\n                        <td id=\"T_7111c_row10_col86\" class=\"data row10 col86\" >1</td>\n                        <td id=\"T_7111c_row10_col87\" class=\"data row10 col87\" >1</td>\n                        <td id=\"T_7111c_row10_col88\" class=\"data row10 col88\" >1</td>\n                        <td id=\"T_7111c_row10_col89\" class=\"data row10 col89\" >1</td>\n                        <td id=\"T_7111c_row10_col90\" class=\"data row10 col90\" >1</td>\n                        <td id=\"T_7111c_row10_col91\" class=\"data row10 col91\" >1</td>\n                        <td id=\"T_7111c_row10_col92\" class=\"data row10 col92\" >1</td>\n                        <td id=\"T_7111c_row10_col93\" class=\"data row10 col93\" >1</td>\n                        <td id=\"T_7111c_row10_col94\" class=\"data row10 col94\" >1</td>\n                        <td id=\"T_7111c_row10_col95\" class=\"data row10 col95\" >1</td>\n                        <td id=\"T_7111c_row10_col96\" class=\"data row10 col96\" >1</td>\n                        <td id=\"T_7111c_row10_col97\" class=\"data row10 col97\" >1</td>\n                        <td id=\"T_7111c_row10_col98\" class=\"data row10 col98\" >1</td>\n                        <td id=\"T_7111c_row10_col99\" class=\"data row10 col99\" >1</td>\n                        <td id=\"T_7111c_row10_col100\" class=\"data row10 col100\" >1</td>\n                        <td id=\"T_7111c_row10_col101\" class=\"data row10 col101\" >1</td>\n                        <td id=\"T_7111c_row10_col102\" class=\"data row10 col102\" >0</td>\n                        <td id=\"T_7111c_row10_col103\" class=\"data row10 col103\" >1</td>\n                        <td id=\"T_7111c_row10_col104\" class=\"data row10 col104\" >1</td>\n                        <td id=\"T_7111c_row10_col105\" class=\"data row10 col105\" >1</td>\n                        <td id=\"T_7111c_row10_col106\" class=\"data row10 col106\" >1</td>\n                        <td id=\"T_7111c_row10_col107\" class=\"data row10 col107\" >1</td>\n                        <td id=\"T_7111c_row10_col108\" class=\"data row10 col108\" >1</td>\n                        <td id=\"T_7111c_row10_col109\" class=\"data row10 col109\" >1</td>\n                        <td id=\"T_7111c_row10_col110\" class=\"data row10 col110\" >1</td>\n                        <td id=\"T_7111c_row10_col111\" class=\"data row10 col111\" >1</td>\n                        <td id=\"T_7111c_row10_col112\" class=\"data row10 col112\" >1</td>\n                        <td id=\"T_7111c_row10_col113\" class=\"data row10 col113\" >1</td>\n                        <td id=\"T_7111c_row10_col114\" class=\"data row10 col114\" >1</td>\n                        <td id=\"T_7111c_row10_col115\" class=\"data row10 col115\" >0</td>\n                        <td id=\"T_7111c_row10_col116\" class=\"data row10 col116\" >1</td>\n                        <td id=\"T_7111c_row10_col117\" class=\"data row10 col117\" >1</td>\n                        <td id=\"T_7111c_row10_col118\" class=\"data row10 col118\" >1</td>\n                        <td id=\"T_7111c_row10_col119\" class=\"data row10 col119\" >1</td>\n                        <td id=\"T_7111c_row10_col120\" class=\"data row10 col120\" >1</td>\n                        <td id=\"T_7111c_row10_col121\" class=\"data row10 col121\" >1</td>\n                        <td id=\"T_7111c_row10_col122\" class=\"data row10 col122\" >1</td>\n                        <td id=\"T_7111c_row10_col123\" class=\"data row10 col123\" >1</td>\n                        <td id=\"T_7111c_row10_col124\" class=\"data row10 col124\" >1</td>\n                        <td id=\"T_7111c_row10_col125\" class=\"data row10 col125\" >1</td>\n                        <td id=\"T_7111c_row10_col126\" class=\"data row10 col126\" >1</td>\n                        <td id=\"T_7111c_row10_col127\" class=\"data row10 col127\" >1</td>\n                        <td id=\"T_7111c_row10_col128\" class=\"data row10 col128\" >1</td>\n                        <td id=\"T_7111c_row10_col129\" class=\"data row10 col129\" >1</td>\n                        <td id=\"T_7111c_row10_col130\" class=\"data row10 col130\" >1</td>\n                        <td id=\"T_7111c_row10_col131\" class=\"data row10 col131\" >1</td>\n                        <td id=\"T_7111c_row10_col132\" class=\"data row10 col132\" >1</td>\n                        <td id=\"T_7111c_row10_col133\" class=\"data row10 col133\" >1</td>\n                        <td id=\"T_7111c_row10_col134\" class=\"data row10 col134\" >1</td>\n                        <td id=\"T_7111c_row10_col135\" class=\"data row10 col135\" >1</td>\n                        <td id=\"T_7111c_row10_col136\" class=\"data row10 col136\" >1</td>\n                        <td id=\"T_7111c_row10_col137\" class=\"data row10 col137\" >1</td>\n                        <td id=\"T_7111c_row10_col138\" class=\"data row10 col138\" >1</td>\n                        <td id=\"T_7111c_row10_col139\" class=\"data row10 col139\" >1</td>\n                        <td id=\"T_7111c_row10_col140\" class=\"data row10 col140\" >1</td>\n                        <td id=\"T_7111c_row10_col141\" class=\"data row10 col141\" >1</td>\n                        <td id=\"T_7111c_row10_col142\" class=\"data row10 col142\" >1</td>\n                        <td id=\"T_7111c_row10_col143\" class=\"data row10 col143\" >1</td>\n                        <td id=\"T_7111c_row10_col144\" class=\"data row10 col144\" >1</td>\n                        <td id=\"T_7111c_row10_col145\" class=\"data row10 col145\" >1</td>\n                        <td id=\"T_7111c_row10_col146\" class=\"data row10 col146\" >1</td>\n                        <td id=\"T_7111c_row10_col147\" class=\"data row10 col147\" >1</td>\n                        <td id=\"T_7111c_row10_col148\" class=\"data row10 col148\" >1</td>\n                        <td id=\"T_7111c_row10_col149\" class=\"data row10 col149\" >1</td>\n                        <td id=\"T_7111c_row10_col150\" class=\"data row10 col150\" >1</td>\n                        <td id=\"T_7111c_row10_col151\" class=\"data row10 col151\" >1</td>\n                        <td id=\"T_7111c_row10_col152\" class=\"data row10 col152\" >1</td>\n                        <td id=\"T_7111c_row10_col153\" class=\"data row10 col153\" >1</td>\n                        <td id=\"T_7111c_row10_col154\" class=\"data row10 col154\" >1</td>\n                        <td id=\"T_7111c_row10_col155\" class=\"data row10 col155\" >1</td>\n                        <td id=\"T_7111c_row10_col156\" class=\"data row10 col156\" >1</td>\n                        <td id=\"T_7111c_row10_col157\" class=\"data row10 col157\" >1</td>\n                        <td id=\"T_7111c_row10_col158\" class=\"data row10 col158\" >1</td>\n                        <td id=\"T_7111c_row10_col159\" class=\"data row10 col159\" >1</td>\n                        <td id=\"T_7111c_row10_col160\" class=\"data row10 col160\" >1</td>\n                        <td id=\"T_7111c_row10_col161\" class=\"data row10 col161\" >1</td>\n                        <td id=\"T_7111c_row10_col162\" class=\"data row10 col162\" >0</td>\n                        <td id=\"T_7111c_row10_col163\" class=\"data row10 col163\" >1</td>\n                        <td id=\"T_7111c_row10_col164\" class=\"data row10 col164\" >1</td>\n                        <td id=\"T_7111c_row10_col165\" class=\"data row10 col165\" >1</td>\n                        <td id=\"T_7111c_row10_col166\" class=\"data row10 col166\" >1</td>\n                        <td id=\"T_7111c_row10_col167\" class=\"data row10 col167\" >1</td>\n                        <td id=\"T_7111c_row10_col168\" class=\"data row10 col168\" >1</td>\n                        <td id=\"T_7111c_row10_col169\" class=\"data row10 col169\" >1</td>\n                        <td id=\"T_7111c_row10_col170\" class=\"data row10 col170\" >1</td>\n                        <td id=\"T_7111c_row10_col171\" class=\"data row10 col171\" >1</td>\n                        <td id=\"T_7111c_row10_col172\" class=\"data row10 col172\" >1</td>\n                        <td id=\"T_7111c_row10_col173\" class=\"data row10 col173\" >1</td>\n                        <td id=\"T_7111c_row10_col174\" class=\"data row10 col174\" >1</td>\n                        <td id=\"T_7111c_row10_col175\" class=\"data row10 col175\" >1</td>\n                        <td id=\"T_7111c_row10_col176\" class=\"data row10 col176\" >1</td>\n                        <td id=\"T_7111c_row10_col177\" class=\"data row10 col177\" >1</td>\n                        <td id=\"T_7111c_row10_col178\" class=\"data row10 col178\" >1</td>\n                        <td id=\"T_7111c_row10_col179\" class=\"data row10 col179\" >1</td>\n                        <td id=\"T_7111c_row10_col180\" class=\"data row10 col180\" >1</td>\n                        <td id=\"T_7111c_row10_col181\" class=\"data row10 col181\" >1</td>\n                        <td id=\"T_7111c_row10_col182\" class=\"data row10 col182\" >1</td>\n                        <td id=\"T_7111c_row10_col183\" class=\"data row10 col183\" >1</td>\n                        <td id=\"T_7111c_row10_col184\" class=\"data row10 col184\" >1</td>\n                        <td id=\"T_7111c_row10_col185\" class=\"data row10 col185\" >1</td>\n                        <td id=\"T_7111c_row10_col186\" class=\"data row10 col186\" >1</td>\n                        <td id=\"T_7111c_row10_col187\" class=\"data row10 col187\" >1</td>\n                        <td id=\"T_7111c_row10_col188\" class=\"data row10 col188\" >1</td>\n                        <td id=\"T_7111c_row10_col189\" class=\"data row10 col189\" >1</td>\n                        <td id=\"T_7111c_row10_col190\" class=\"data row10 col190\" >1</td>\n                        <td id=\"T_7111c_row10_col191\" class=\"data row10 col191\" >1</td>\n                        <td id=\"T_7111c_row10_col192\" class=\"data row10 col192\" >1</td>\n                        <td id=\"T_7111c_row10_col193\" class=\"data row10 col193\" >1</td>\n                        <td id=\"T_7111c_row10_col194\" class=\"data row10 col194\" >1</td>\n                        <td id=\"T_7111c_row10_col195\" class=\"data row10 col195\" >1</td>\n                        <td id=\"T_7111c_row10_col196\" class=\"data row10 col196\" >1</td>\n                        <td id=\"T_7111c_row10_col197\" class=\"data row10 col197\" >1</td>\n                        <td id=\"T_7111c_row10_col198\" class=\"data row10 col198\" >1</td>\n                        <td id=\"T_7111c_row10_col199\" class=\"data row10 col199\" >1</td>\n                        <td id=\"T_7111c_row10_col200\" class=\"data row10 col200\" >1</td>\n                        <td id=\"T_7111c_row10_col201\" class=\"data row10 col201\" >1</td>\n                        <td id=\"T_7111c_row10_col202\" class=\"data row10 col202\" >1</td>\n                        <td id=\"T_7111c_row10_col203\" class=\"data row10 col203\" >1</td>\n            </tr>\n            <tr>\n                        <th id=\"T_7111c_level0_row11\" class=\"row_heading level0 row11\" >B1</th>\n                        <td id=\"T_7111c_row11_col0\" class=\"data row11 col0\" >1</td>\n                        <td id=\"T_7111c_row11_col1\" class=\"data row11 col1\" >1</td>\n                        <td id=\"T_7111c_row11_col2\" class=\"data row11 col2\" >0</td>\n                        <td id=\"T_7111c_row11_col3\" class=\"data row11 col3\" >1</td>\n                        <td id=\"T_7111c_row11_col4\" class=\"data row11 col4\" >0</td>\n                        <td id=\"T_7111c_row11_col5\" class=\"data row11 col5\" >0</td>\n                        <td id=\"T_7111c_row11_col6\" class=\"data row11 col6\" >0</td>\n                        <td id=\"T_7111c_row11_col7\" class=\"data row11 col7\" >1</td>\n                        <td id=\"T_7111c_row11_col8\" class=\"data row11 col8\" >1</td>\n                        <td id=\"T_7111c_row11_col9\" class=\"data row11 col9\" >1</td>\n                        <td id=\"T_7111c_row11_col10\" class=\"data row11 col10\" >1</td>\n                        <td id=\"T_7111c_row11_col11\" class=\"data row11 col11\" >1</td>\n                        <td id=\"T_7111c_row11_col12\" class=\"data row11 col12\" >0</td>\n                        <td id=\"T_7111c_row11_col13\" class=\"data row11 col13\" >1</td>\n                        <td id=\"T_7111c_row11_col14\" class=\"data row11 col14\" >0</td>\n                        <td id=\"T_7111c_row11_col15\" class=\"data row11 col15\" >1</td>\n                        <td id=\"T_7111c_row11_col16\" class=\"data row11 col16\" >0</td>\n                        <td id=\"T_7111c_row11_col17\" class=\"data row11 col17\" >1</td>\n                        <td id=\"T_7111c_row11_col18\" class=\"data row11 col18\" >0</td>\n                        <td id=\"T_7111c_row11_col19\" class=\"data row11 col19\" >1</td>\n                        <td id=\"T_7111c_row11_col20\" class=\"data row11 col20\" >1</td>\n                        <td id=\"T_7111c_row11_col21\" class=\"data row11 col21\" >0</td>\n                        <td id=\"T_7111c_row11_col22\" class=\"data row11 col22\" >0</td>\n                        <td id=\"T_7111c_row11_col23\" class=\"data row11 col23\" >1</td>\n                        <td id=\"T_7111c_row11_col24\" class=\"data row11 col24\" >1</td>\n                        <td id=\"T_7111c_row11_col25\" class=\"data row11 col25\" >1</td>\n                        <td id=\"T_7111c_row11_col26\" class=\"data row11 col26\" >1</td>\n                        <td id=\"T_7111c_row11_col27\" class=\"data row11 col27\" >1</td>\n                        <td id=\"T_7111c_row11_col28\" class=\"data row11 col28\" >0</td>\n                        <td id=\"T_7111c_row11_col29\" class=\"data row11 col29\" >0</td>\n                        <td id=\"T_7111c_row11_col30\" class=\"data row11 col30\" >1</td>\n                        <td id=\"T_7111c_row11_col31\" class=\"data row11 col31\" >0</td>\n                        <td id=\"T_7111c_row11_col32\" class=\"data row11 col32\" >1</td>\n                        <td id=\"T_7111c_row11_col33\" class=\"data row11 col33\" >0</td>\n                        <td id=\"T_7111c_row11_col34\" class=\"data row11 col34\" >1</td>\n                        <td id=\"T_7111c_row11_col35\" class=\"data row11 col35\" >1</td>\n                        <td id=\"T_7111c_row11_col36\" class=\"data row11 col36\" >1</td>\n                        <td id=\"T_7111c_row11_col37\" class=\"data row11 col37\" >1</td>\n                        <td id=\"T_7111c_row11_col38\" class=\"data row11 col38\" >1</td>\n                        <td id=\"T_7111c_row11_col39\" class=\"data row11 col39\" >0</td>\n                        <td id=\"T_7111c_row11_col40\" class=\"data row11 col40\" >0</td>\n                        <td id=\"T_7111c_row11_col41\" class=\"data row11 col41\" >0</td>\n                        <td id=\"T_7111c_row11_col42\" class=\"data row11 col42\" >1</td>\n                        <td id=\"T_7111c_row11_col43\" class=\"data row11 col43\" >0</td>\n                        <td id=\"T_7111c_row11_col44\" class=\"data row11 col44\" >1</td>\n                        <td id=\"T_7111c_row11_col45\" class=\"data row11 col45\" >0</td>\n                        <td id=\"T_7111c_row11_col46\" class=\"data row11 col46\" >1</td>\n                        <td id=\"T_7111c_row11_col47\" class=\"data row11 col47\" >0</td>\n                        <td id=\"T_7111c_row11_col48\" class=\"data row11 col48\" >1</td>\n                        <td id=\"T_7111c_row11_col49\" class=\"data row11 col49\" >1</td>\n                        <td id=\"T_7111c_row11_col50\" class=\"data row11 col50\" >1</td>\n                        <td id=\"T_7111c_row11_col51\" class=\"data row11 col51\" >1</td>\n                        <td id=\"T_7111c_row11_col52\" class=\"data row11 col52\" >0</td>\n                        <td id=\"T_7111c_row11_col53\" class=\"data row11 col53\" >0</td>\n                        <td id=\"T_7111c_row11_col54\" class=\"data row11 col54\" >0</td>\n                        <td id=\"T_7111c_row11_col55\" class=\"data row11 col55\" >1</td>\n                        <td id=\"T_7111c_row11_col56\" class=\"data row11 col56\" >0</td>\n                        <td id=\"T_7111c_row11_col57\" class=\"data row11 col57\" >0</td>\n                        <td id=\"T_7111c_row11_col58\" class=\"data row11 col58\" >0</td>\n                        <td id=\"T_7111c_row11_col59\" class=\"data row11 col59\" >1</td>\n                        <td id=\"T_7111c_row11_col60\" class=\"data row11 col60\" >0</td>\n                        <td id=\"T_7111c_row11_col61\" class=\"data row11 col61\" >0</td>\n                        <td id=\"T_7111c_row11_col62\" class=\"data row11 col62\" >1</td>\n                        <td id=\"T_7111c_row11_col63\" class=\"data row11 col63\" >0</td>\n                        <td id=\"T_7111c_row11_col64\" class=\"data row11 col64\" >1</td>\n                        <td id=\"T_7111c_row11_col65\" class=\"data row11 col65\" >1</td>\n                        <td id=\"T_7111c_row11_col66\" class=\"data row11 col66\" >0</td>\n                        <td id=\"T_7111c_row11_col67\" class=\"data row11 col67\" >0</td>\n                        <td id=\"T_7111c_row11_col68\" class=\"data row11 col68\" >1</td>\n                        <td id=\"T_7111c_row11_col69\" class=\"data row11 col69\" >1</td>\n                        <td id=\"T_7111c_row11_col70\" class=\"data row11 col70\" >1</td>\n                        <td id=\"T_7111c_row11_col71\" class=\"data row11 col71\" >1</td>\n                        <td id=\"T_7111c_row11_col72\" class=\"data row11 col72\" >1</td>\n                        <td id=\"T_7111c_row11_col73\" class=\"data row11 col73\" >1</td>\n                        <td id=\"T_7111c_row11_col74\" class=\"data row11 col74\" >0</td>\n                        <td id=\"T_7111c_row11_col75\" class=\"data row11 col75\" >1</td>\n                        <td id=\"T_7111c_row11_col76\" class=\"data row11 col76\" >1</td>\n                        <td id=\"T_7111c_row11_col77\" class=\"data row11 col77\" >1</td>\n                        <td id=\"T_7111c_row11_col78\" class=\"data row11 col78\" >1</td>\n                        <td id=\"T_7111c_row11_col79\" class=\"data row11 col79\" >1</td>\n                        <td id=\"T_7111c_row11_col80\" class=\"data row11 col80\" >0</td>\n                        <td id=\"T_7111c_row11_col81\" class=\"data row11 col81\" >1</td>\n                        <td id=\"T_7111c_row11_col82\" class=\"data row11 col82\" >0</td>\n                        <td id=\"T_7111c_row11_col83\" class=\"data row11 col83\" >0</td>\n                        <td id=\"T_7111c_row11_col84\" class=\"data row11 col84\" >0</td>\n                        <td id=\"T_7111c_row11_col85\" class=\"data row11 col85\" >1</td>\n                        <td id=\"T_7111c_row11_col86\" class=\"data row11 col86\" >1</td>\n                        <td id=\"T_7111c_row11_col87\" class=\"data row11 col87\" >1</td>\n                        <td id=\"T_7111c_row11_col88\" class=\"data row11 col88\" >0</td>\n                        <td id=\"T_7111c_row11_col89\" class=\"data row11 col89\" >1</td>\n                        <td id=\"T_7111c_row11_col90\" class=\"data row11 col90\" >0</td>\n                        <td id=\"T_7111c_row11_col91\" class=\"data row11 col91\" >1</td>\n                        <td id=\"T_7111c_row11_col92\" class=\"data row11 col92\" >0</td>\n                        <td id=\"T_7111c_row11_col93\" class=\"data row11 col93\" >0</td>\n                        <td id=\"T_7111c_row11_col94\" class=\"data row11 col94\" >1</td>\n                        <td id=\"T_7111c_row11_col95\" class=\"data row11 col95\" >0</td>\n                        <td id=\"T_7111c_row11_col96\" class=\"data row11 col96\" >1</td>\n                        <td id=\"T_7111c_row11_col97\" class=\"data row11 col97\" >1</td>\n                        <td id=\"T_7111c_row11_col98\" class=\"data row11 col98\" >1</td>\n                        <td id=\"T_7111c_row11_col99\" class=\"data row11 col99\" >0</td>\n                        <td id=\"T_7111c_row11_col100\" class=\"data row11 col100\" >1</td>\n                        <td id=\"T_7111c_row11_col101\" class=\"data row11 col101\" >1</td>\n                        <td id=\"T_7111c_row11_col102\" class=\"data row11 col102\" >1</td>\n                        <td id=\"T_7111c_row11_col103\" class=\"data row11 col103\" >0</td>\n                        <td id=\"T_7111c_row11_col104\" class=\"data row11 col104\" >1</td>\n                        <td id=\"T_7111c_row11_col105\" class=\"data row11 col105\" >0</td>\n                        <td id=\"T_7111c_row11_col106\" class=\"data row11 col106\" >0</td>\n                        <td id=\"T_7111c_row11_col107\" class=\"data row11 col107\" >1</td>\n                        <td id=\"T_7111c_row11_col108\" class=\"data row11 col108\" >1</td>\n                        <td id=\"T_7111c_row11_col109\" class=\"data row11 col109\" >1</td>\n                        <td id=\"T_7111c_row11_col110\" class=\"data row11 col110\" >0</td>\n                        <td id=\"T_7111c_row11_col111\" class=\"data row11 col111\" >1</td>\n                        <td id=\"T_7111c_row11_col112\" class=\"data row11 col112\" >0</td>\n                        <td id=\"T_7111c_row11_col113\" class=\"data row11 col113\" >1</td>\n                        <td id=\"T_7111c_row11_col114\" class=\"data row11 col114\" >1</td>\n                        <td id=\"T_7111c_row11_col115\" class=\"data row11 col115\" >0</td>\n                        <td id=\"T_7111c_row11_col116\" class=\"data row11 col116\" >1</td>\n                        <td id=\"T_7111c_row11_col117\" class=\"data row11 col117\" >1</td>\n                        <td id=\"T_7111c_row11_col118\" class=\"data row11 col118\" >1</td>\n                        <td id=\"T_7111c_row11_col119\" class=\"data row11 col119\" >0</td>\n                        <td id=\"T_7111c_row11_col120\" class=\"data row11 col120\" >0</td>\n                        <td id=\"T_7111c_row11_col121\" class=\"data row11 col121\" >0</td>\n                        <td id=\"T_7111c_row11_col122\" class=\"data row11 col122\" >0</td>\n                        <td id=\"T_7111c_row11_col123\" class=\"data row11 col123\" >0</td>\n                        <td id=\"T_7111c_row11_col124\" class=\"data row11 col124\" >1</td>\n                        <td id=\"T_7111c_row11_col125\" class=\"data row11 col125\" >0</td>\n                        <td id=\"T_7111c_row11_col126\" class=\"data row11 col126\" >1</td>\n                        <td id=\"T_7111c_row11_col127\" class=\"data row11 col127\" >0</td>\n                        <td id=\"T_7111c_row11_col128\" class=\"data row11 col128\" >1</td>\n                        <td id=\"T_7111c_row11_col129\" class=\"data row11 col129\" >1</td>\n                        <td id=\"T_7111c_row11_col130\" class=\"data row11 col130\" >1</td>\n                        <td id=\"T_7111c_row11_col131\" class=\"data row11 col131\" >1</td>\n                        <td id=\"T_7111c_row11_col132\" class=\"data row11 col132\" >0</td>\n                        <td id=\"T_7111c_row11_col133\" class=\"data row11 col133\" >0</td>\n                        <td id=\"T_7111c_row11_col134\" class=\"data row11 col134\" >0</td>\n                        <td id=\"T_7111c_row11_col135\" class=\"data row11 col135\" >1</td>\n                        <td id=\"T_7111c_row11_col136\" class=\"data row11 col136\" >0</td>\n                        <td id=\"T_7111c_row11_col137\" class=\"data row11 col137\" >0</td>\n                        <td id=\"T_7111c_row11_col138\" class=\"data row11 col138\" >1</td>\n                        <td id=\"T_7111c_row11_col139\" class=\"data row11 col139\" >1</td>\n                        <td id=\"T_7111c_row11_col140\" class=\"data row11 col140\" >0</td>\n                        <td id=\"T_7111c_row11_col141\" class=\"data row11 col141\" >0</td>\n                        <td id=\"T_7111c_row11_col142\" class=\"data row11 col142\" >1</td>\n                        <td id=\"T_7111c_row11_col143\" class=\"data row11 col143\" >0</td>\n                        <td id=\"T_7111c_row11_col144\" class=\"data row11 col144\" >0</td>\n                        <td id=\"T_7111c_row11_col145\" class=\"data row11 col145\" >1</td>\n                        <td id=\"T_7111c_row11_col146\" class=\"data row11 col146\" >0</td>\n                        <td id=\"T_7111c_row11_col147\" class=\"data row11 col147\" >1</td>\n                        <td id=\"T_7111c_row11_col148\" class=\"data row11 col148\" >0</td>\n                        <td id=\"T_7111c_row11_col149\" class=\"data row11 col149\" >1</td>\n                        <td id=\"T_7111c_row11_col150\" class=\"data row11 col150\" >0</td>\n                        <td id=\"T_7111c_row11_col151\" class=\"data row11 col151\" >0</td>\n                        <td id=\"T_7111c_row11_col152\" class=\"data row11 col152\" >1</td>\n                        <td id=\"T_7111c_row11_col153\" class=\"data row11 col153\" >1</td>\n                        <td id=\"T_7111c_row11_col154\" class=\"data row11 col154\" >1</td>\n                        <td id=\"T_7111c_row11_col155\" class=\"data row11 col155\" >0</td>\n                        <td id=\"T_7111c_row11_col156\" class=\"data row11 col156\" >0</td>\n                        <td id=\"T_7111c_row11_col157\" class=\"data row11 col157\" >0</td>\n                        <td id=\"T_7111c_row11_col158\" class=\"data row11 col158\" >0</td>\n                        <td id=\"T_7111c_row11_col159\" class=\"data row11 col159\" >0</td>\n                        <td id=\"T_7111c_row11_col160\" class=\"data row11 col160\" >1</td>\n                        <td id=\"T_7111c_row11_col161\" class=\"data row11 col161\" >1</td>\n                        <td id=\"T_7111c_row11_col162\" class=\"data row11 col162\" >1</td>\n                        <td id=\"T_7111c_row11_col163\" class=\"data row11 col163\" >0</td>\n                        <td id=\"T_7111c_row11_col164\" class=\"data row11 col164\" >1</td>\n                        <td id=\"T_7111c_row11_col165\" class=\"data row11 col165\" >0</td>\n                        <td id=\"T_7111c_row11_col166\" class=\"data row11 col166\" >1</td>\n                        <td id=\"T_7111c_row11_col167\" class=\"data row11 col167\" >0</td>\n                        <td id=\"T_7111c_row11_col168\" class=\"data row11 col168\" >1</td>\n                        <td id=\"T_7111c_row11_col169\" class=\"data row11 col169\" >0</td>\n                        <td id=\"T_7111c_row11_col170\" class=\"data row11 col170\" >0</td>\n                        <td id=\"T_7111c_row11_col171\" class=\"data row11 col171\" >1</td>\n                        <td id=\"T_7111c_row11_col172\" class=\"data row11 col172\" >0</td>\n                        <td id=\"T_7111c_row11_col173\" class=\"data row11 col173\" >0</td>\n                        <td id=\"T_7111c_row11_col174\" class=\"data row11 col174\" >0</td>\n                        <td id=\"T_7111c_row11_col175\" class=\"data row11 col175\" >1</td>\n                        <td id=\"T_7111c_row11_col176\" class=\"data row11 col176\" >1</td>\n                        <td id=\"T_7111c_row11_col177\" class=\"data row11 col177\" >0</td>\n                        <td id=\"T_7111c_row11_col178\" class=\"data row11 col178\" >1</td>\n                        <td id=\"T_7111c_row11_col179\" class=\"data row11 col179\" >0</td>\n                        <td id=\"T_7111c_row11_col180\" class=\"data row11 col180\" >1</td>\n                        <td id=\"T_7111c_row11_col181\" class=\"data row11 col181\" >1</td>\n                        <td id=\"T_7111c_row11_col182\" class=\"data row11 col182\" >1</td>\n                        <td id=\"T_7111c_row11_col183\" class=\"data row11 col183\" >1</td>\n                        <td id=\"T_7111c_row11_col184\" class=\"data row11 col184\" >0</td>\n                        <td id=\"T_7111c_row11_col185\" class=\"data row11 col185\" >1</td>\n                        <td id=\"T_7111c_row11_col186\" class=\"data row11 col186\" >0</td>\n                        <td id=\"T_7111c_row11_col187\" class=\"data row11 col187\" >0</td>\n                        <td id=\"T_7111c_row11_col188\" class=\"data row11 col188\" >1</td>\n                        <td id=\"T_7111c_row11_col189\" class=\"data row11 col189\" >0</td>\n                        <td id=\"T_7111c_row11_col190\" class=\"data row11 col190\" >1</td>\n                        <td id=\"T_7111c_row11_col191\" class=\"data row11 col191\" >1</td>\n                        <td id=\"T_7111c_row11_col192\" class=\"data row11 col192\" >1</td>\n                        <td id=\"T_7111c_row11_col193\" class=\"data row11 col193\" >1</td>\n                        <td id=\"T_7111c_row11_col194\" class=\"data row11 col194\" >0</td>\n                        <td id=\"T_7111c_row11_col195\" class=\"data row11 col195\" >0</td>\n                        <td id=\"T_7111c_row11_col196\" class=\"data row11 col196\" >1</td>\n                        <td id=\"T_7111c_row11_col197\" class=\"data row11 col197\" >0</td>\n                        <td id=\"T_7111c_row11_col198\" class=\"data row11 col198\" >0</td>\n                        <td id=\"T_7111c_row11_col199\" class=\"data row11 col199\" >1</td>\n                        <td id=\"T_7111c_row11_col200\" class=\"data row11 col200\" >0</td>\n                        <td id=\"T_7111c_row11_col201\" class=\"data row11 col201\" >0</td>\n                        <td id=\"T_7111c_row11_col202\" class=\"data row11 col202\" >0</td>\n                        <td id=\"T_7111c_row11_col203\" class=\"data row11 col203\" >0</td>\n            </tr>\n            <tr>\n                        <th id=\"T_7111c_level0_row12\" class=\"row_heading level0 row12\" >B2</th>\n                        <td id=\"T_7111c_row12_col0\" class=\"data row12 col0\" >0</td>\n                        <td id=\"T_7111c_row12_col1\" class=\"data row12 col1\" >0</td>\n                        <td id=\"T_7111c_row12_col2\" class=\"data row12 col2\" >0</td>\n                        <td id=\"T_7111c_row12_col3\" class=\"data row12 col3\" >0</td>\n                        <td id=\"T_7111c_row12_col4\" class=\"data row12 col4\" >0</td>\n                        <td id=\"T_7111c_row12_col5\" class=\"data row12 col5\" >0</td>\n                        <td id=\"T_7111c_row12_col6\" class=\"data row12 col6\" >0</td>\n                        <td id=\"T_7111c_row12_col7\" class=\"data row12 col7\" >0</td>\n                        <td id=\"T_7111c_row12_col8\" class=\"data row12 col8\" >1</td>\n                        <td id=\"T_7111c_row12_col9\" class=\"data row12 col9\" >1</td>\n                        <td id=\"T_7111c_row12_col10\" class=\"data row12 col10\" >0</td>\n                        <td id=\"T_7111c_row12_col11\" class=\"data row12 col11\" >1</td>\n                        <td id=\"T_7111c_row12_col12\" class=\"data row12 col12\" >0</td>\n                        <td id=\"T_7111c_row12_col13\" class=\"data row12 col13\" >0</td>\n                        <td id=\"T_7111c_row12_col14\" class=\"data row12 col14\" >0</td>\n                        <td id=\"T_7111c_row12_col15\" class=\"data row12 col15\" >1</td>\n                        <td id=\"T_7111c_row12_col16\" class=\"data row12 col16\" >0</td>\n                        <td id=\"T_7111c_row12_col17\" class=\"data row12 col17\" >1</td>\n                        <td id=\"T_7111c_row12_col18\" class=\"data row12 col18\" >0</td>\n                        <td id=\"T_7111c_row12_col19\" class=\"data row12 col19\" >0</td>\n                        <td id=\"T_7111c_row12_col20\" class=\"data row12 col20\" >0</td>\n                        <td id=\"T_7111c_row12_col21\" class=\"data row12 col21\" >0</td>\n                        <td id=\"T_7111c_row12_col22\" class=\"data row12 col22\" >0</td>\n                        <td id=\"T_7111c_row12_col23\" class=\"data row12 col23\" >1</td>\n                        <td id=\"T_7111c_row12_col24\" class=\"data row12 col24\" >0</td>\n                        <td id=\"T_7111c_row12_col25\" class=\"data row12 col25\" >0</td>\n                        <td id=\"T_7111c_row12_col26\" class=\"data row12 col26\" >0</td>\n                        <td id=\"T_7111c_row12_col27\" class=\"data row12 col27\" >0</td>\n                        <td id=\"T_7111c_row12_col28\" class=\"data row12 col28\" >0</td>\n                        <td id=\"T_7111c_row12_col29\" class=\"data row12 col29\" >0</td>\n                        <td id=\"T_7111c_row12_col30\" class=\"data row12 col30\" >0</td>\n                        <td id=\"T_7111c_row12_col31\" class=\"data row12 col31\" >0</td>\n                        <td id=\"T_7111c_row12_col32\" class=\"data row12 col32\" >1</td>\n                        <td id=\"T_7111c_row12_col33\" class=\"data row12 col33\" >0</td>\n                        <td id=\"T_7111c_row12_col34\" class=\"data row12 col34\" >0</td>\n                        <td id=\"T_7111c_row12_col35\" class=\"data row12 col35\" >0</td>\n                        <td id=\"T_7111c_row12_col36\" class=\"data row12 col36\" >0</td>\n                        <td id=\"T_7111c_row12_col37\" class=\"data row12 col37\" >0</td>\n                        <td id=\"T_7111c_row12_col38\" class=\"data row12 col38\" >0</td>\n                        <td id=\"T_7111c_row12_col39\" class=\"data row12 col39\" >0</td>\n                        <td id=\"T_7111c_row12_col40\" class=\"data row12 col40\" >0</td>\n                        <td id=\"T_7111c_row12_col41\" class=\"data row12 col41\" >0</td>\n                        <td id=\"T_7111c_row12_col42\" class=\"data row12 col42\" >0</td>\n                        <td id=\"T_7111c_row12_col43\" class=\"data row12 col43\" >0</td>\n                        <td id=\"T_7111c_row12_col44\" class=\"data row12 col44\" >1</td>\n                        <td id=\"T_7111c_row12_col45\" class=\"data row12 col45\" >1</td>\n                        <td id=\"T_7111c_row12_col46\" class=\"data row12 col46\" >1</td>\n                        <td id=\"T_7111c_row12_col47\" class=\"data row12 col47\" >0</td>\n                        <td id=\"T_7111c_row12_col48\" class=\"data row12 col48\" >1</td>\n                        <td id=\"T_7111c_row12_col49\" class=\"data row12 col49\" >0</td>\n                        <td id=\"T_7111c_row12_col50\" class=\"data row12 col50\" >0</td>\n                        <td id=\"T_7111c_row12_col51\" class=\"data row12 col51\" >1</td>\n                        <td id=\"T_7111c_row12_col52\" class=\"data row12 col52\" >0</td>\n                        <td id=\"T_7111c_row12_col53\" class=\"data row12 col53\" >0</td>\n                        <td id=\"T_7111c_row12_col54\" class=\"data row12 col54\" >0</td>\n                        <td id=\"T_7111c_row12_col55\" class=\"data row12 col55\" >0</td>\n                        <td id=\"T_7111c_row12_col56\" class=\"data row12 col56\" >0</td>\n                        <td id=\"T_7111c_row12_col57\" class=\"data row12 col57\" >0</td>\n                        <td id=\"T_7111c_row12_col58\" class=\"data row12 col58\" >0</td>\n                        <td id=\"T_7111c_row12_col59\" class=\"data row12 col59\" >0</td>\n                        <td id=\"T_7111c_row12_col60\" class=\"data row12 col60\" >0</td>\n                        <td id=\"T_7111c_row12_col61\" class=\"data row12 col61\" >0</td>\n                        <td id=\"T_7111c_row12_col62\" class=\"data row12 col62\" >0</td>\n                        <td id=\"T_7111c_row12_col63\" class=\"data row12 col63\" >0</td>\n                        <td id=\"T_7111c_row12_col64\" class=\"data row12 col64\" >0</td>\n                        <td id=\"T_7111c_row12_col65\" class=\"data row12 col65\" >0</td>\n                        <td id=\"T_7111c_row12_col66\" class=\"data row12 col66\" >0</td>\n                        <td id=\"T_7111c_row12_col67\" class=\"data row12 col67\" >0</td>\n                        <td id=\"T_7111c_row12_col68\" class=\"data row12 col68\" >0</td>\n                        <td id=\"T_7111c_row12_col69\" class=\"data row12 col69\" >1</td>\n                        <td id=\"T_7111c_row12_col70\" class=\"data row12 col70\" >0</td>\n                        <td id=\"T_7111c_row12_col71\" class=\"data row12 col71\" >0</td>\n                        <td id=\"T_7111c_row12_col72\" class=\"data row12 col72\" >0</td>\n                        <td id=\"T_7111c_row12_col73\" class=\"data row12 col73\" >0</td>\n                        <td id=\"T_7111c_row12_col74\" class=\"data row12 col74\" >0</td>\n                        <td id=\"T_7111c_row12_col75\" class=\"data row12 col75\" >0</td>\n                        <td id=\"T_7111c_row12_col76\" class=\"data row12 col76\" >0</td>\n                        <td id=\"T_7111c_row12_col77\" class=\"data row12 col77\" >0</td>\n                        <td id=\"T_7111c_row12_col78\" class=\"data row12 col78\" >0</td>\n                        <td id=\"T_7111c_row12_col79\" class=\"data row12 col79\" >0</td>\n                        <td id=\"T_7111c_row12_col80\" class=\"data row12 col80\" >0</td>\n                        <td id=\"T_7111c_row12_col81\" class=\"data row12 col81\" >0</td>\n                        <td id=\"T_7111c_row12_col82\" class=\"data row12 col82\" >0</td>\n                        <td id=\"T_7111c_row12_col83\" class=\"data row12 col83\" >0</td>\n                        <td id=\"T_7111c_row12_col84\" class=\"data row12 col84\" >0</td>\n                        <td id=\"T_7111c_row12_col85\" class=\"data row12 col85\" >0</td>\n                        <td id=\"T_7111c_row12_col86\" class=\"data row12 col86\" >0</td>\n                        <td id=\"T_7111c_row12_col87\" class=\"data row12 col87\" >1</td>\n                        <td id=\"T_7111c_row12_col88\" class=\"data row12 col88\" >0</td>\n                        <td id=\"T_7111c_row12_col89\" class=\"data row12 col89\" >1</td>\n                        <td id=\"T_7111c_row12_col90\" class=\"data row12 col90\" >0</td>\n                        <td id=\"T_7111c_row12_col91\" class=\"data row12 col91\" >1</td>\n                        <td id=\"T_7111c_row12_col92\" class=\"data row12 col92\" >0</td>\n                        <td id=\"T_7111c_row12_col93\" class=\"data row12 col93\" >0</td>\n                        <td id=\"T_7111c_row12_col94\" class=\"data row12 col94\" >0</td>\n                        <td id=\"T_7111c_row12_col95\" class=\"data row12 col95\" >0</td>\n                        <td id=\"T_7111c_row12_col96\" class=\"data row12 col96\" >1</td>\n                        <td id=\"T_7111c_row12_col97\" class=\"data row12 col97\" >0</td>\n                        <td id=\"T_7111c_row12_col98\" class=\"data row12 col98\" >0</td>\n                        <td id=\"T_7111c_row12_col99\" class=\"data row12 col99\" >0</td>\n                        <td id=\"T_7111c_row12_col100\" class=\"data row12 col100\" >1</td>\n                        <td id=\"T_7111c_row12_col101\" class=\"data row12 col101\" >0</td>\n                        <td id=\"T_7111c_row12_col102\" class=\"data row12 col102\" >0</td>\n                        <td id=\"T_7111c_row12_col103\" class=\"data row12 col103\" >0</td>\n                        <td id=\"T_7111c_row12_col104\" class=\"data row12 col104\" >0</td>\n                        <td id=\"T_7111c_row12_col105\" class=\"data row12 col105\" >0</td>\n                        <td id=\"T_7111c_row12_col106\" class=\"data row12 col106\" >0</td>\n                        <td id=\"T_7111c_row12_col107\" class=\"data row12 col107\" >0</td>\n                        <td id=\"T_7111c_row12_col108\" class=\"data row12 col108\" >0</td>\n                        <td id=\"T_7111c_row12_col109\" class=\"data row12 col109\" >0</td>\n                        <td id=\"T_7111c_row12_col110\" class=\"data row12 col110\" >0</td>\n                        <td id=\"T_7111c_row12_col111\" class=\"data row12 col111\" >0</td>\n                        <td id=\"T_7111c_row12_col112\" class=\"data row12 col112\" >0</td>\n                        <td id=\"T_7111c_row12_col113\" class=\"data row12 col113\" >1</td>\n                        <td id=\"T_7111c_row12_col114\" class=\"data row12 col114\" >1</td>\n                        <td id=\"T_7111c_row12_col115\" class=\"data row12 col115\" >0</td>\n                        <td id=\"T_7111c_row12_col116\" class=\"data row12 col116\" >0</td>\n                        <td id=\"T_7111c_row12_col117\" class=\"data row12 col117\" >0</td>\n                        <td id=\"T_7111c_row12_col118\" class=\"data row12 col118\" >0</td>\n                        <td id=\"T_7111c_row12_col119\" class=\"data row12 col119\" >0</td>\n                        <td id=\"T_7111c_row12_col120\" class=\"data row12 col120\" >0</td>\n                        <td id=\"T_7111c_row12_col121\" class=\"data row12 col121\" >0</td>\n                        <td id=\"T_7111c_row12_col122\" class=\"data row12 col122\" >0</td>\n                        <td id=\"T_7111c_row12_col123\" class=\"data row12 col123\" >0</td>\n                        <td id=\"T_7111c_row12_col124\" class=\"data row12 col124\" >0</td>\n                        <td id=\"T_7111c_row12_col125\" class=\"data row12 col125\" >0</td>\n                        <td id=\"T_7111c_row12_col126\" class=\"data row12 col126\" >1</td>\n                        <td id=\"T_7111c_row12_col127\" class=\"data row12 col127\" >0</td>\n                        <td id=\"T_7111c_row12_col128\" class=\"data row12 col128\" >0</td>\n                        <td id=\"T_7111c_row12_col129\" class=\"data row12 col129\" >0</td>\n                        <td id=\"T_7111c_row12_col130\" class=\"data row12 col130\" >1</td>\n                        <td id=\"T_7111c_row12_col131\" class=\"data row12 col131\" >0</td>\n                        <td id=\"T_7111c_row12_col132\" class=\"data row12 col132\" >0</td>\n                        <td id=\"T_7111c_row12_col133\" class=\"data row12 col133\" >0</td>\n                        <td id=\"T_7111c_row12_col134\" class=\"data row12 col134\" >0</td>\n                        <td id=\"T_7111c_row12_col135\" class=\"data row12 col135\" >0</td>\n                        <td id=\"T_7111c_row12_col136\" class=\"data row12 col136\" >0</td>\n                        <td id=\"T_7111c_row12_col137\" class=\"data row12 col137\" >0</td>\n                        <td id=\"T_7111c_row12_col138\" class=\"data row12 col138\" >0</td>\n                        <td id=\"T_7111c_row12_col139\" class=\"data row12 col139\" >0</td>\n                        <td id=\"T_7111c_row12_col140\" class=\"data row12 col140\" >0</td>\n                        <td id=\"T_7111c_row12_col141\" class=\"data row12 col141\" >0</td>\n                        <td id=\"T_7111c_row12_col142\" class=\"data row12 col142\" >0</td>\n                        <td id=\"T_7111c_row12_col143\" class=\"data row12 col143\" >0</td>\n                        <td id=\"T_7111c_row12_col144\" class=\"data row12 col144\" >0</td>\n                        <td id=\"T_7111c_row12_col145\" class=\"data row12 col145\" >0</td>\n                        <td id=\"T_7111c_row12_col146\" class=\"data row12 col146\" >0</td>\n                        <td id=\"T_7111c_row12_col147\" class=\"data row12 col147\" >0</td>\n                        <td id=\"T_7111c_row12_col148\" class=\"data row12 col148\" >0</td>\n                        <td id=\"T_7111c_row12_col149\" class=\"data row12 col149\" >0</td>\n                        <td id=\"T_7111c_row12_col150\" class=\"data row12 col150\" >0</td>\n                        <td id=\"T_7111c_row12_col151\" class=\"data row12 col151\" >0</td>\n                        <td id=\"T_7111c_row12_col152\" class=\"data row12 col152\" >0</td>\n                        <td id=\"T_7111c_row12_col153\" class=\"data row12 col153\" >0</td>\n                        <td id=\"T_7111c_row12_col154\" class=\"data row12 col154\" >0</td>\n                        <td id=\"T_7111c_row12_col155\" class=\"data row12 col155\" >0</td>\n                        <td id=\"T_7111c_row12_col156\" class=\"data row12 col156\" >0</td>\n                        <td id=\"T_7111c_row12_col157\" class=\"data row12 col157\" >0</td>\n                        <td id=\"T_7111c_row12_col158\" class=\"data row12 col158\" >0</td>\n                        <td id=\"T_7111c_row12_col159\" class=\"data row12 col159\" >0</td>\n                        <td id=\"T_7111c_row12_col160\" class=\"data row12 col160\" >0</td>\n                        <td id=\"T_7111c_row12_col161\" class=\"data row12 col161\" >0</td>\n                        <td id=\"T_7111c_row12_col162\" class=\"data row12 col162\" >0</td>\n                        <td id=\"T_7111c_row12_col163\" class=\"data row12 col163\" >0</td>\n                        <td id=\"T_7111c_row12_col164\" class=\"data row12 col164\" >0</td>\n                        <td id=\"T_7111c_row12_col165\" class=\"data row12 col165\" >0</td>\n                        <td id=\"T_7111c_row12_col166\" class=\"data row12 col166\" >0</td>\n                        <td id=\"T_7111c_row12_col167\" class=\"data row12 col167\" >0</td>\n                        <td id=\"T_7111c_row12_col168\" class=\"data row12 col168\" >0</td>\n                        <td id=\"T_7111c_row12_col169\" class=\"data row12 col169\" >0</td>\n                        <td id=\"T_7111c_row12_col170\" class=\"data row12 col170\" >0</td>\n                        <td id=\"T_7111c_row12_col171\" class=\"data row12 col171\" >0</td>\n                        <td id=\"T_7111c_row12_col172\" class=\"data row12 col172\" >0</td>\n                        <td id=\"T_7111c_row12_col173\" class=\"data row12 col173\" >0</td>\n                        <td id=\"T_7111c_row12_col174\" class=\"data row12 col174\" >0</td>\n                        <td id=\"T_7111c_row12_col175\" class=\"data row12 col175\" >0</td>\n                        <td id=\"T_7111c_row12_col176\" class=\"data row12 col176\" >0</td>\n                        <td id=\"T_7111c_row12_col177\" class=\"data row12 col177\" >0</td>\n                        <td id=\"T_7111c_row12_col178\" class=\"data row12 col178\" >1</td>\n                        <td id=\"T_7111c_row12_col179\" class=\"data row12 col179\" >0</td>\n                        <td id=\"T_7111c_row12_col180\" class=\"data row12 col180\" >0</td>\n                        <td id=\"T_7111c_row12_col181\" class=\"data row12 col181\" >0</td>\n                        <td id=\"T_7111c_row12_col182\" class=\"data row12 col182\" >0</td>\n                        <td id=\"T_7111c_row12_col183\" class=\"data row12 col183\" >0</td>\n                        <td id=\"T_7111c_row12_col184\" class=\"data row12 col184\" >0</td>\n                        <td id=\"T_7111c_row12_col185\" class=\"data row12 col185\" >0</td>\n                        <td id=\"T_7111c_row12_col186\" class=\"data row12 col186\" >0</td>\n                        <td id=\"T_7111c_row12_col187\" class=\"data row12 col187\" >0</td>\n                        <td id=\"T_7111c_row12_col188\" class=\"data row12 col188\" >0</td>\n                        <td id=\"T_7111c_row12_col189\" class=\"data row12 col189\" >0</td>\n                        <td id=\"T_7111c_row12_col190\" class=\"data row12 col190\" >0</td>\n                        <td id=\"T_7111c_row12_col191\" class=\"data row12 col191\" >0</td>\n                        <td id=\"T_7111c_row12_col192\" class=\"data row12 col192\" >1</td>\n                        <td id=\"T_7111c_row12_col193\" class=\"data row12 col193\" >1</td>\n                        <td id=\"T_7111c_row12_col194\" class=\"data row12 col194\" >0</td>\n                        <td id=\"T_7111c_row12_col195\" class=\"data row12 col195\" >0</td>\n                        <td id=\"T_7111c_row12_col196\" class=\"data row12 col196\" >0</td>\n                        <td id=\"T_7111c_row12_col197\" class=\"data row12 col197\" >0</td>\n                        <td id=\"T_7111c_row12_col198\" class=\"data row12 col198\" >0</td>\n                        <td id=\"T_7111c_row12_col199\" class=\"data row12 col199\" >0</td>\n                        <td id=\"T_7111c_row12_col200\" class=\"data row12 col200\" >0</td>\n                        <td id=\"T_7111c_row12_col201\" class=\"data row12 col201\" >0</td>\n                        <td id=\"T_7111c_row12_col202\" class=\"data row12 col202\" >0</td>\n                        <td id=\"T_7111c_row12_col203\" class=\"data row12 col203\" >0</td>\n            </tr>\n            <tr>\n                        <th id=\"T_7111c_level0_row13\" class=\"row_heading level0 row13\" >B3</th>\n                        <td id=\"T_7111c_row13_col0\" class=\"data row13 col0\" >0</td>\n                        <td id=\"T_7111c_row13_col1\" class=\"data row13 col1\" >0</td>\n                        <td id=\"T_7111c_row13_col2\" class=\"data row13 col2\" >0</td>\n                        <td id=\"T_7111c_row13_col3\" class=\"data row13 col3\" >0</td>\n                        <td id=\"T_7111c_row13_col4\" class=\"data row13 col4\" >0</td>\n                        <td id=\"T_7111c_row13_col5\" class=\"data row13 col5\" >0</td>\n                        <td id=\"T_7111c_row13_col6\" class=\"data row13 col6\" >0</td>\n                        <td id=\"T_7111c_row13_col7\" class=\"data row13 col7\" >0</td>\n                        <td id=\"T_7111c_row13_col8\" class=\"data row13 col8\" >0</td>\n                        <td id=\"T_7111c_row13_col9\" class=\"data row13 col9\" >0</td>\n                        <td id=\"T_7111c_row13_col10\" class=\"data row13 col10\" >0</td>\n                        <td id=\"T_7111c_row13_col11\" class=\"data row13 col11\" >0</td>\n                        <td id=\"T_7111c_row13_col12\" class=\"data row13 col12\" >0</td>\n                        <td id=\"T_7111c_row13_col13\" class=\"data row13 col13\" >0</td>\n                        <td id=\"T_7111c_row13_col14\" class=\"data row13 col14\" >0</td>\n                        <td id=\"T_7111c_row13_col15\" class=\"data row13 col15\" >0</td>\n                        <td id=\"T_7111c_row13_col16\" class=\"data row13 col16\" >0</td>\n                        <td id=\"T_7111c_row13_col17\" class=\"data row13 col17\" >0</td>\n                        <td id=\"T_7111c_row13_col18\" class=\"data row13 col18\" >0</td>\n                        <td id=\"T_7111c_row13_col19\" class=\"data row13 col19\" >0</td>\n                        <td id=\"T_7111c_row13_col20\" class=\"data row13 col20\" >0</td>\n                        <td id=\"T_7111c_row13_col21\" class=\"data row13 col21\" >0</td>\n                        <td id=\"T_7111c_row13_col22\" class=\"data row13 col22\" >0</td>\n                        <td id=\"T_7111c_row13_col23\" class=\"data row13 col23\" >0</td>\n                        <td id=\"T_7111c_row13_col24\" class=\"data row13 col24\" >0</td>\n                        <td id=\"T_7111c_row13_col25\" class=\"data row13 col25\" >0</td>\n                        <td id=\"T_7111c_row13_col26\" class=\"data row13 col26\" >0</td>\n                        <td id=\"T_7111c_row13_col27\" class=\"data row13 col27\" >0</td>\n                        <td id=\"T_7111c_row13_col28\" class=\"data row13 col28\" >0</td>\n                        <td id=\"T_7111c_row13_col29\" class=\"data row13 col29\" >0</td>\n                        <td id=\"T_7111c_row13_col30\" class=\"data row13 col30\" >0</td>\n                        <td id=\"T_7111c_row13_col31\" class=\"data row13 col31\" >0</td>\n                        <td id=\"T_7111c_row13_col32\" class=\"data row13 col32\" >0</td>\n                        <td id=\"T_7111c_row13_col33\" class=\"data row13 col33\" >0</td>\n                        <td id=\"T_7111c_row13_col34\" class=\"data row13 col34\" >0</td>\n                        <td id=\"T_7111c_row13_col35\" class=\"data row13 col35\" >0</td>\n                        <td id=\"T_7111c_row13_col36\" class=\"data row13 col36\" >0</td>\n                        <td id=\"T_7111c_row13_col37\" class=\"data row13 col37\" >0</td>\n                        <td id=\"T_7111c_row13_col38\" class=\"data row13 col38\" >0</td>\n                        <td id=\"T_7111c_row13_col39\" class=\"data row13 col39\" >0</td>\n                        <td id=\"T_7111c_row13_col40\" class=\"data row13 col40\" >0</td>\n                        <td id=\"T_7111c_row13_col41\" class=\"data row13 col41\" >0</td>\n                        <td id=\"T_7111c_row13_col42\" class=\"data row13 col42\" >0</td>\n                        <td id=\"T_7111c_row13_col43\" class=\"data row13 col43\" >0</td>\n                        <td id=\"T_7111c_row13_col44\" class=\"data row13 col44\" >0</td>\n                        <td id=\"T_7111c_row13_col45\" class=\"data row13 col45\" >0</td>\n                        <td id=\"T_7111c_row13_col46\" class=\"data row13 col46\" >0</td>\n                        <td id=\"T_7111c_row13_col47\" class=\"data row13 col47\" >0</td>\n                        <td id=\"T_7111c_row13_col48\" class=\"data row13 col48\" >0</td>\n                        <td id=\"T_7111c_row13_col49\" class=\"data row13 col49\" >0</td>\n                        <td id=\"T_7111c_row13_col50\" class=\"data row13 col50\" >0</td>\n                        <td id=\"T_7111c_row13_col51\" class=\"data row13 col51\" >0</td>\n                        <td id=\"T_7111c_row13_col52\" class=\"data row13 col52\" >0</td>\n                        <td id=\"T_7111c_row13_col53\" class=\"data row13 col53\" >0</td>\n                        <td id=\"T_7111c_row13_col54\" class=\"data row13 col54\" >0</td>\n                        <td id=\"T_7111c_row13_col55\" class=\"data row13 col55\" >0</td>\n                        <td id=\"T_7111c_row13_col56\" class=\"data row13 col56\" >0</td>\n                        <td id=\"T_7111c_row13_col57\" class=\"data row13 col57\" >0</td>\n                        <td id=\"T_7111c_row13_col58\" class=\"data row13 col58\" >0</td>\n                        <td id=\"T_7111c_row13_col59\" class=\"data row13 col59\" >0</td>\n                        <td id=\"T_7111c_row13_col60\" class=\"data row13 col60\" >0</td>\n                        <td id=\"T_7111c_row13_col61\" class=\"data row13 col61\" >0</td>\n                        <td id=\"T_7111c_row13_col62\" class=\"data row13 col62\" >0</td>\n                        <td id=\"T_7111c_row13_col63\" class=\"data row13 col63\" >0</td>\n                        <td id=\"T_7111c_row13_col64\" class=\"data row13 col64\" >0</td>\n                        <td id=\"T_7111c_row13_col65\" class=\"data row13 col65\" >0</td>\n                        <td id=\"T_7111c_row13_col66\" class=\"data row13 col66\" >0</td>\n                        <td id=\"T_7111c_row13_col67\" class=\"data row13 col67\" >0</td>\n                        <td id=\"T_7111c_row13_col68\" class=\"data row13 col68\" >0</td>\n                        <td id=\"T_7111c_row13_col69\" class=\"data row13 col69\" >0</td>\n                        <td id=\"T_7111c_row13_col70\" class=\"data row13 col70\" >0</td>\n                        <td id=\"T_7111c_row13_col71\" class=\"data row13 col71\" >0</td>\n                        <td id=\"T_7111c_row13_col72\" class=\"data row13 col72\" >0</td>\n                        <td id=\"T_7111c_row13_col73\" class=\"data row13 col73\" >0</td>\n                        <td id=\"T_7111c_row13_col74\" class=\"data row13 col74\" >0</td>\n                        <td id=\"T_7111c_row13_col75\" class=\"data row13 col75\" >0</td>\n                        <td id=\"T_7111c_row13_col76\" class=\"data row13 col76\" >0</td>\n                        <td id=\"T_7111c_row13_col77\" class=\"data row13 col77\" >0</td>\n                        <td id=\"T_7111c_row13_col78\" class=\"data row13 col78\" >0</td>\n                        <td id=\"T_7111c_row13_col79\" class=\"data row13 col79\" >0</td>\n                        <td id=\"T_7111c_row13_col80\" class=\"data row13 col80\" >0</td>\n                        <td id=\"T_7111c_row13_col81\" class=\"data row13 col81\" >0</td>\n                        <td id=\"T_7111c_row13_col82\" class=\"data row13 col82\" >0</td>\n                        <td id=\"T_7111c_row13_col83\" class=\"data row13 col83\" >0</td>\n                        <td id=\"T_7111c_row13_col84\" class=\"data row13 col84\" >0</td>\n                        <td id=\"T_7111c_row13_col85\" class=\"data row13 col85\" >0</td>\n                        <td id=\"T_7111c_row13_col86\" class=\"data row13 col86\" >0</td>\n                        <td id=\"T_7111c_row13_col87\" class=\"data row13 col87\" >0</td>\n                        <td id=\"T_7111c_row13_col88\" class=\"data row13 col88\" >0</td>\n                        <td id=\"T_7111c_row13_col89\" class=\"data row13 col89\" >0</td>\n                        <td id=\"T_7111c_row13_col90\" class=\"data row13 col90\" >0</td>\n                        <td id=\"T_7111c_row13_col91\" class=\"data row13 col91\" >0</td>\n                        <td id=\"T_7111c_row13_col92\" class=\"data row13 col92\" >0</td>\n                        <td id=\"T_7111c_row13_col93\" class=\"data row13 col93\" >0</td>\n                        <td id=\"T_7111c_row13_col94\" class=\"data row13 col94\" >0</td>\n                        <td id=\"T_7111c_row13_col95\" class=\"data row13 col95\" >0</td>\n                        <td id=\"T_7111c_row13_col96\" class=\"data row13 col96\" >0</td>\n                        <td id=\"T_7111c_row13_col97\" class=\"data row13 col97\" >0</td>\n                        <td id=\"T_7111c_row13_col98\" class=\"data row13 col98\" >0</td>\n                        <td id=\"T_7111c_row13_col99\" class=\"data row13 col99\" >0</td>\n                        <td id=\"T_7111c_row13_col100\" class=\"data row13 col100\" >0</td>\n                        <td id=\"T_7111c_row13_col101\" class=\"data row13 col101\" >0</td>\n                        <td id=\"T_7111c_row13_col102\" class=\"data row13 col102\" >0</td>\n                        <td id=\"T_7111c_row13_col103\" class=\"data row13 col103\" >0</td>\n                        <td id=\"T_7111c_row13_col104\" class=\"data row13 col104\" >0</td>\n                        <td id=\"T_7111c_row13_col105\" class=\"data row13 col105\" >0</td>\n                        <td id=\"T_7111c_row13_col106\" class=\"data row13 col106\" >0</td>\n                        <td id=\"T_7111c_row13_col107\" class=\"data row13 col107\" >0</td>\n                        <td id=\"T_7111c_row13_col108\" class=\"data row13 col108\" >0</td>\n                        <td id=\"T_7111c_row13_col109\" class=\"data row13 col109\" >0</td>\n                        <td id=\"T_7111c_row13_col110\" class=\"data row13 col110\" >0</td>\n                        <td id=\"T_7111c_row13_col111\" class=\"data row13 col111\" >0</td>\n                        <td id=\"T_7111c_row13_col112\" class=\"data row13 col112\" >0</td>\n                        <td id=\"T_7111c_row13_col113\" class=\"data row13 col113\" >0</td>\n                        <td id=\"T_7111c_row13_col114\" class=\"data row13 col114\" >0</td>\n                        <td id=\"T_7111c_row13_col115\" class=\"data row13 col115\" >0</td>\n                        <td id=\"T_7111c_row13_col116\" class=\"data row13 col116\" >0</td>\n                        <td id=\"T_7111c_row13_col117\" class=\"data row13 col117\" >0</td>\n                        <td id=\"T_7111c_row13_col118\" class=\"data row13 col118\" >0</td>\n                        <td id=\"T_7111c_row13_col119\" class=\"data row13 col119\" >0</td>\n                        <td id=\"T_7111c_row13_col120\" class=\"data row13 col120\" >0</td>\n                        <td id=\"T_7111c_row13_col121\" class=\"data row13 col121\" >0</td>\n                        <td id=\"T_7111c_row13_col122\" class=\"data row13 col122\" >0</td>\n                        <td id=\"T_7111c_row13_col123\" class=\"data row13 col123\" >0</td>\n                        <td id=\"T_7111c_row13_col124\" class=\"data row13 col124\" >0</td>\n                        <td id=\"T_7111c_row13_col125\" class=\"data row13 col125\" >0</td>\n                        <td id=\"T_7111c_row13_col126\" class=\"data row13 col126\" >0</td>\n                        <td id=\"T_7111c_row13_col127\" class=\"data row13 col127\" >0</td>\n                        <td id=\"T_7111c_row13_col128\" class=\"data row13 col128\" >0</td>\n                        <td id=\"T_7111c_row13_col129\" class=\"data row13 col129\" >0</td>\n                        <td id=\"T_7111c_row13_col130\" class=\"data row13 col130\" >0</td>\n                        <td id=\"T_7111c_row13_col131\" class=\"data row13 col131\" >0</td>\n                        <td id=\"T_7111c_row13_col132\" class=\"data row13 col132\" >0</td>\n                        <td id=\"T_7111c_row13_col133\" class=\"data row13 col133\" >0</td>\n                        <td id=\"T_7111c_row13_col134\" class=\"data row13 col134\" >0</td>\n                        <td id=\"T_7111c_row13_col135\" class=\"data row13 col135\" >0</td>\n                        <td id=\"T_7111c_row13_col136\" class=\"data row13 col136\" >0</td>\n                        <td id=\"T_7111c_row13_col137\" class=\"data row13 col137\" >0</td>\n                        <td id=\"T_7111c_row13_col138\" class=\"data row13 col138\" >0</td>\n                        <td id=\"T_7111c_row13_col139\" class=\"data row13 col139\" >0</td>\n                        <td id=\"T_7111c_row13_col140\" class=\"data row13 col140\" >0</td>\n                        <td id=\"T_7111c_row13_col141\" class=\"data row13 col141\" >0</td>\n                        <td id=\"T_7111c_row13_col142\" class=\"data row13 col142\" >0</td>\n                        <td id=\"T_7111c_row13_col143\" class=\"data row13 col143\" >0</td>\n                        <td id=\"T_7111c_row13_col144\" class=\"data row13 col144\" >0</td>\n                        <td id=\"T_7111c_row13_col145\" class=\"data row13 col145\" >0</td>\n                        <td id=\"T_7111c_row13_col146\" class=\"data row13 col146\" >0</td>\n                        <td id=\"T_7111c_row13_col147\" class=\"data row13 col147\" >0</td>\n                        <td id=\"T_7111c_row13_col148\" class=\"data row13 col148\" >0</td>\n                        <td id=\"T_7111c_row13_col149\" class=\"data row13 col149\" >0</td>\n                        <td id=\"T_7111c_row13_col150\" class=\"data row13 col150\" >0</td>\n                        <td id=\"T_7111c_row13_col151\" class=\"data row13 col151\" >0</td>\n                        <td id=\"T_7111c_row13_col152\" class=\"data row13 col152\" >0</td>\n                        <td id=\"T_7111c_row13_col153\" class=\"data row13 col153\" >0</td>\n                        <td id=\"T_7111c_row13_col154\" class=\"data row13 col154\" >0</td>\n                        <td id=\"T_7111c_row13_col155\" class=\"data row13 col155\" >0</td>\n                        <td id=\"T_7111c_row13_col156\" class=\"data row13 col156\" >0</td>\n                        <td id=\"T_7111c_row13_col157\" class=\"data row13 col157\" >0</td>\n                        <td id=\"T_7111c_row13_col158\" class=\"data row13 col158\" >0</td>\n                        <td id=\"T_7111c_row13_col159\" class=\"data row13 col159\" >0</td>\n                        <td id=\"T_7111c_row13_col160\" class=\"data row13 col160\" >0</td>\n                        <td id=\"T_7111c_row13_col161\" class=\"data row13 col161\" >0</td>\n                        <td id=\"T_7111c_row13_col162\" class=\"data row13 col162\" >0</td>\n                        <td id=\"T_7111c_row13_col163\" class=\"data row13 col163\" >0</td>\n                        <td id=\"T_7111c_row13_col164\" class=\"data row13 col164\" >0</td>\n                        <td id=\"T_7111c_row13_col165\" class=\"data row13 col165\" >0</td>\n                        <td id=\"T_7111c_row13_col166\" class=\"data row13 col166\" >0</td>\n                        <td id=\"T_7111c_row13_col167\" class=\"data row13 col167\" >0</td>\n                        <td id=\"T_7111c_row13_col168\" class=\"data row13 col168\" >0</td>\n                        <td id=\"T_7111c_row13_col169\" class=\"data row13 col169\" >0</td>\n                        <td id=\"T_7111c_row13_col170\" class=\"data row13 col170\" >0</td>\n                        <td id=\"T_7111c_row13_col171\" class=\"data row13 col171\" >0</td>\n                        <td id=\"T_7111c_row13_col172\" class=\"data row13 col172\" >0</td>\n                        <td id=\"T_7111c_row13_col173\" class=\"data row13 col173\" >0</td>\n                        <td id=\"T_7111c_row13_col174\" class=\"data row13 col174\" >0</td>\n                        <td id=\"T_7111c_row13_col175\" class=\"data row13 col175\" >0</td>\n                        <td id=\"T_7111c_row13_col176\" class=\"data row13 col176\" >0</td>\n                        <td id=\"T_7111c_row13_col177\" class=\"data row13 col177\" >0</td>\n                        <td id=\"T_7111c_row13_col178\" class=\"data row13 col178\" >0</td>\n                        <td id=\"T_7111c_row13_col179\" class=\"data row13 col179\" >0</td>\n                        <td id=\"T_7111c_row13_col180\" class=\"data row13 col180\" >0</td>\n                        <td id=\"T_7111c_row13_col181\" class=\"data row13 col181\" >0</td>\n                        <td id=\"T_7111c_row13_col182\" class=\"data row13 col182\" >0</td>\n                        <td id=\"T_7111c_row13_col183\" class=\"data row13 col183\" >0</td>\n                        <td id=\"T_7111c_row13_col184\" class=\"data row13 col184\" >0</td>\n                        <td id=\"T_7111c_row13_col185\" class=\"data row13 col185\" >0</td>\n                        <td id=\"T_7111c_row13_col186\" class=\"data row13 col186\" >0</td>\n                        <td id=\"T_7111c_row13_col187\" class=\"data row13 col187\" >0</td>\n                        <td id=\"T_7111c_row13_col188\" class=\"data row13 col188\" >0</td>\n                        <td id=\"T_7111c_row13_col189\" class=\"data row13 col189\" >0</td>\n                        <td id=\"T_7111c_row13_col190\" class=\"data row13 col190\" >0</td>\n                        <td id=\"T_7111c_row13_col191\" class=\"data row13 col191\" >0</td>\n                        <td id=\"T_7111c_row13_col192\" class=\"data row13 col192\" >0</td>\n                        <td id=\"T_7111c_row13_col193\" class=\"data row13 col193\" >1</td>\n                        <td id=\"T_7111c_row13_col194\" class=\"data row13 col194\" >0</td>\n                        <td id=\"T_7111c_row13_col195\" class=\"data row13 col195\" >0</td>\n                        <td id=\"T_7111c_row13_col196\" class=\"data row13 col196\" >0</td>\n                        <td id=\"T_7111c_row13_col197\" class=\"data row13 col197\" >0</td>\n                        <td id=\"T_7111c_row13_col198\" class=\"data row13 col198\" >0</td>\n                        <td id=\"T_7111c_row13_col199\" class=\"data row13 col199\" >0</td>\n                        <td id=\"T_7111c_row13_col200\" class=\"data row13 col200\" >0</td>\n                        <td id=\"T_7111c_row13_col201\" class=\"data row13 col201\" >0</td>\n                        <td id=\"T_7111c_row13_col202\" class=\"data row13 col202\" >0</td>\n                        <td id=\"T_7111c_row13_col203\" class=\"data row13 col203\" >0</td>\n            </tr>\n    </tbody></table>"},"metadata":{}}]},{"cell_type":"code","source":"# 빌딩-층별 path count\ntrain_df = pd.DataFrame()\nbuilding_dict = {}\nfor building in build_name:\n    building_dict['building'] = building\n    for floor in os.listdir(f\"{PATH}/train/{building}\"):\n        building_dict['floor'] = floor\n#         building_dict['floor_enc'] = encode_floor(floor)\n        for path in os.listdir(f\"{PATH}/train/{building}/{floor}\"):\n            building_dict['path'] = path\n            train_df = train_df.append(building_dict, ignore_index=True)\n\n# display(train_df.head().style.set_caption('Training Data'))\n# train_df.to_csv(\"train_df.csv\", index=False)\n\n# # Visualize\n# building_overview_df = train_df.groupby(['building', 'floor_enc']).path.nunique().to_frame().reset_index(drop=False)\n# building_overview_df = building_overview_df.pivot(index='building', columns='floor_enc')['path'].fillna(0)\n# building_overview_df.style.background_gradient(cmap='Blues', vmin=0, vmax=150).format(\"{:.0f}\").set_caption('Number Training Pathes per Floor for Buildings in Test Set')","metadata":{"execution":{"iopub.status.busy":"2023-04-30T15:11:24.781343Z","iopub.execute_input":"2023-04-30T15:11:24.781706Z","iopub.status.idle":"2023-04-30T15:12:55.494707Z","shell.execute_reply.started":"2023-04-30T15:11:24.781675Z","shell.execute_reply":"2023-04-30T15:12:55.493769Z"},"trusted":true},"execution_count":31,"outputs":[]},{"cell_type":"code","source":"os.listdir(f\"{PATH}/train/{building}\")","metadata":{"execution":{"iopub.status.busy":"2023-04-30T15:09:36.18376Z","iopub.execute_input":"2023-04-30T15:09:36.184139Z","iopub.status.idle":"2023-04-30T15:09:36.192203Z","shell.execute_reply.started":"2023-04-30T15:09:36.184107Z","shell.execute_reply":"2023-04-30T15:09:36.191241Z"},"trusted":true},"execution_count":29,"outputs":[{"execution_count":29,"output_type":"execute_result","data":{"text/plain":"['B', 'L1', 'G', 'LM']"},"metadata":{}}]},{"cell_type":"code","source":"site2f = (building_overview_df > 0).astype(int)\nsite2f.columns = [\"B2\", \"B1\", \"F1\", \"F2\", \"F3\", \"F4\", \"F5\", \"F6\", \"F7\", \"F8\", \"F9\"]\nsite2f.index = [f\"building{i+1}\"for i in range(len(site2f.index))]\nsite2f.T[::-1].style.background_gradient(cmap='Blues', vmin=0, vmax=0.5).format(\"{:.0f}\").set_caption('Number Training Pathes per Floor for Buildings in Test Set')","metadata":{"execution":{"iopub.status.busy":"2023-04-30T11:56:52.571348Z","iopub.execute_input":"2023-04-30T11:56:52.571793Z","iopub.status.idle":"2023-04-30T11:56:52.661341Z","shell.execute_reply.started":"2023-04-30T11:56:52.571756Z","shell.execute_reply":"2023-04-30T11:56:52.660165Z"},"trusted":true},"execution_count":151,"outputs":[{"execution_count":151,"output_type":"execute_result","data":{"text/plain":"<pandas.io.formats.style.Styler at 0x716a4da1c510>","text/html":"<style  type=\"text/css\" 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}#T_8e382_row0_col9,#T_8e382_row1_col9,#T_8e382_row1_col22,#T_8e382_row2_col2,#T_8e382_row2_col9,#T_8e382_row2_col21,#T_8e382_row2_col22,#T_8e382_row2_col23,#T_8e382_row3_col2,#T_8e382_row3_col3,#T_8e382_row3_col9,#T_8e382_row3_col21,#T_8e382_row3_col22,#T_8e382_row3_col23,#T_8e382_row4_col1,#T_8e382_row4_col2,#T_8e382_row4_col3,#T_8e382_row4_col4,#T_8e382_row4_col9,#T_8e382_row4_col11,#T_8e382_row4_col13,#T_8e382_row4_col18,#T_8e382_row4_col20,#T_8e382_row4_col21,#T_8e382_row4_col22,#T_8e382_row4_col23,#T_8e382_row5_col0,#T_8e382_row5_col1,#T_8e382_row5_col2,#T_8e382_row5_col3,#T_8e382_row5_col4,#T_8e382_row5_col5,#T_8e382_row5_col6,#T_8e382_row5_col7,#T_8e382_row5_col8,#T_8e382_row5_col9,#T_8e382_row5_col11,#T_8e382_row5_col13,#T_8e382_row5_col17,#T_8e382_row5_col18,#T_8e382_row5_col19,#T_8e382_row5_col20,#T_8e382_row5_col21,#T_8e382_row5_col22,#T_8e382_row5_col23,#T_8e382_row6_col0,#T_8e382_row6_col1,#T_8e382_row6_col2,#T_8e382_row6_col3,#T_8e382_row6_col4,#T_8e382_row6_col5,#T_8e382_row6_col6,#T_8e382_row6_col7,#T_8e382_row6_col8,#T_8e382_row6_col9,#T_8e382_row6_col10,#T_8e382_row6_col11,#T_8e382_row6_col12,#T_8e382_row6_col13,#T_8e382_row6_col14,#T_8e382_row6_col15,#T_8e382_row6_col16,#T_8e382_row6_col17,#T_8e382_row6_col18,#T_8e382_row6_col19,#T_8e382_row6_col20,#T_8e382_row6_col21,#T_8e382_row6_col22,#T_8e382_row6_col23,#T_8e382_row7_col0,#T_8e382_row7_col1,#T_8e382_row7_col2,#T_8e382_row7_col3,#T_8e382_row7_col4,#T_8e382_row7_col5,#T_8e382_row7_col6,#T_8e382_row7_col7,#T_8e382_row7_col8,#T_8e382_row7_col9,#T_8e382_row7_col10,#T_8e382_row7_col11,#T_8e382_row7_col12,#T_8e382_row7_col13,#T_8e382_row7_col14,#T_8e382_row7_col15,#T_8e382_row7_col16,#T_8e382_row7_col17,#T_8e382_row7_col18,#T_8e382_row7_col19,#T_8e382_row7_col20,#T_8e382_row7_col21,#T_8e382_row7_col22,#T_8e382_row7_col23,#T_8e382_row8_col0,#T_8e382_row8_col1,#T_8e382_row8_col2,#T_8e382_row8_col3,#T_8e382_row8_col4,#T_8e382_row8_col5,#T_8e382_row8_col6,#T_8e382_row8_col7,#T_8e382_row8_col8,#T_8e382_row8_col9,#T_8e382_row8_col10,#T_8e382_row8_col11,#T_8e382_row8_col12,#T_8e382_row8_col13,#T_8e382_row8_col14,#T_8e382_row8_col15,#T_8e382_row8_col16,#T_8e382_row8_col17,#T_8e382_row8_col18,#T_8e382_row8_col19,#T_8e382_row8_col20,#T_8e382_row8_col21,#T_8e382_row8_col23,#T_8e382_row9_col0,#T_8e382_row9_col1,#T_8e382_row9_col2,#T_8e382_row9_col3,#T_8e382_row9_col4,#T_8e382_row9_col5,#T_8e382_row9_col7,#T_8e382_row9_col8,#T_8e382_row9_col9,#T_8e382_row9_col10,#T_8e382_row9_col11,#T_8e382_row9_col13,#T_8e382_row9_col14,#T_8e382_row9_col18,#T_8e382_row9_col19,#T_8e382_row9_col20,#T_8e382_row9_col21,#T_8e382_row9_col22,#T_8e382_row9_col23,#T_8e382_row10_col4,#T_8e382_row10_col14,#T_8e382_row10_col19,#T_8e382_row10_col20{\n            background-color:  #08306b;\n            color:  #f1f1f1;\n        }</style><table id=\"T_8e382_\" ><caption>Number Training Pathes per Floor for Buildings in Test Set</caption><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >building1</th>        <th class=\"col_heading level0 col1\" >building2</th>        <th class=\"col_heading level0 col2\" >building3</th>        <th class=\"col_heading level0 col3\" >building4</th>        <th class=\"col_heading level0 col4\" >building5</th>        <th class=\"col_heading level0 col5\" >building6</th>        <th class=\"col_heading level0 col6\" >building7</th>        <th class=\"col_heading level0 col7\" >building8</th>        <th class=\"col_heading level0 col8\" >building9</th>        <th class=\"col_heading level0 col9\" >building10</th>        <th class=\"col_heading level0 col10\" >building11</th>        <th class=\"col_heading level0 col11\" >building12</th>        <th class=\"col_heading level0 col12\" >building13</th>        <th class=\"col_heading level0 col13\" >building14</th>        <th class=\"col_heading level0 col14\" >building15</th>        <th class=\"col_heading level0 col15\" >building16</th>        <th class=\"col_heading level0 col16\" >building17</th>        <th class=\"col_heading level0 col17\" >building18</th>        <th class=\"col_heading level0 col18\" >building19</th>        <th class=\"col_heading level0 col19\" >building20</th>        <th class=\"col_heading level0 col20\" >building21</th>        <th class=\"col_heading level0 col21\" >building22</th>        <th class=\"col_heading level0 col22\" >building23</th>        <th class=\"col_heading level0 col23\" >building24</th>    </tr></thead><tbody>\n                <tr>\n                        <th id=\"T_8e382_level0_row0\" class=\"row_heading level0 row0\" >F9</th>\n                        <td id=\"T_8e382_row0_col0\" class=\"data row0 col0\" >0</td>\n                        <td id=\"T_8e382_row0_col1\" class=\"data row0 col1\" >0</td>\n                        <td id=\"T_8e382_row0_col2\" class=\"data row0 col2\" >0</td>\n                        <td id=\"T_8e382_row0_col3\" class=\"data row0 col3\" >0</td>\n                        <td id=\"T_8e382_row0_col4\" class=\"data row0 col4\" >0</td>\n                        <td id=\"T_8e382_row0_col5\" class=\"data row0 col5\" >0</td>\n                        <td id=\"T_8e382_row0_col6\" class=\"data row0 col6\" >0</td>\n                        <td id=\"T_8e382_row0_col7\" class=\"data row0 col7\" >0</td>\n                        <td id=\"T_8e382_row0_col8\" class=\"data row0 col8\" >0</td>\n                        <td id=\"T_8e382_row0_col9\" class=\"data row0 col9\" >1</td>\n                        <td id=\"T_8e382_row0_col10\" class=\"data row0 col10\" >0</td>\n                        <td id=\"T_8e382_row0_col11\" class=\"data row0 col11\" >0</td>\n                        <td id=\"T_8e382_row0_col12\" class=\"data row0 col12\" >0</td>\n                        <td id=\"T_8e382_row0_col13\" class=\"data row0 col13\" >0</td>\n                        <td id=\"T_8e382_row0_col14\" class=\"data row0 col14\" >0</td>\n                        <td id=\"T_8e382_row0_col15\" class=\"data row0 col15\" >0</td>\n                        <td id=\"T_8e382_row0_col16\" class=\"data row0 col16\" >0</td>\n                        <td id=\"T_8e382_row0_col17\" class=\"data row0 col17\" >0</td>\n                        <td id=\"T_8e382_row0_col18\" class=\"data row0 col18\" >0</td>\n                        <td id=\"T_8e382_row0_col19\" class=\"data row0 col19\" >0</td>\n                        <td id=\"T_8e382_row0_col20\" class=\"data row0 col20\" >0</td>\n                        <td id=\"T_8e382_row0_col21\" class=\"data row0 col21\" >0</td>\n                        <td id=\"T_8e382_row0_col22\" class=\"data row0 col22\" >0</td>\n                        <td id=\"T_8e382_row0_col23\" class=\"data row0 col23\" >0</td>\n            </tr>\n            <tr>\n                        <th id=\"T_8e382_level0_row1\" class=\"row_heading level0 row1\" >F8</th>\n                        <td id=\"T_8e382_row1_col0\" class=\"data row1 col0\" >0</td>\n                        <td id=\"T_8e382_row1_col1\" class=\"data row1 col1\" >0</td>\n                        <td id=\"T_8e382_row1_col2\" class=\"data row1 col2\" >0</td>\n                        <td id=\"T_8e382_row1_col3\" class=\"data row1 col3\" >0</td>\n                        <td id=\"T_8e382_row1_col4\" class=\"data row1 col4\" >0</td>\n                        <td id=\"T_8e382_row1_col5\" class=\"data row1 col5\" >0</td>\n                        <td id=\"T_8e382_row1_col6\" class=\"data row1 col6\" >0</td>\n                        <td id=\"T_8e382_row1_col7\" class=\"data row1 col7\" >0</td>\n                        <td id=\"T_8e382_row1_col8\" class=\"data row1 col8\" >0</td>\n                        <td id=\"T_8e382_row1_col9\" class=\"data row1 col9\" >1</td>\n                        <td id=\"T_8e382_row1_col10\" class=\"data row1 col10\" >0</td>\n                        <td id=\"T_8e382_row1_col11\" class=\"data row1 col11\" >0</td>\n                        <td id=\"T_8e382_row1_col12\" class=\"data row1 col12\" >0</td>\n                        <td id=\"T_8e382_row1_col13\" class=\"data row1 col13\" >0</td>\n                        <td id=\"T_8e382_row1_col14\" class=\"data row1 col14\" >0</td>\n                        <td id=\"T_8e382_row1_col15\" class=\"data row1 col15\" >0</td>\n                        <td id=\"T_8e382_row1_col16\" class=\"data row1 col16\" >0</td>\n                        <td id=\"T_8e382_row1_col17\" class=\"data row1 col17\" >0</td>\n                        <td id=\"T_8e382_row1_col18\" class=\"data row1 col18\" >0</td>\n                        <td id=\"T_8e382_row1_col19\" class=\"data row1 col19\" >0</td>\n                        <td id=\"T_8e382_row1_col20\" class=\"data row1 col20\" >0</td>\n                        <td id=\"T_8e382_row1_col21\" class=\"data row1 col21\" >0</td>\n                        <td id=\"T_8e382_row1_col22\" class=\"data row1 col22\" >1</td>\n                        <td id=\"T_8e382_row1_col23\" class=\"data row1 col23\" >0</td>\n            </tr>\n            <tr>\n                        <th id=\"T_8e382_level0_row2\" class=\"row_heading level0 row2\" >F7</th>\n                        <td id=\"T_8e382_row2_col0\" class=\"data row2 col0\" >0</td>\n                        <td id=\"T_8e382_row2_col1\" class=\"data row2 col1\" >0</td>\n                        <td id=\"T_8e382_row2_col2\" class=\"data row2 col2\" >1</td>\n                        <td id=\"T_8e382_row2_col3\" class=\"data row2 col3\" >0</td>\n                        <td id=\"T_8e382_row2_col4\" class=\"data row2 col4\" >0</td>\n                        <td id=\"T_8e382_row2_col5\" class=\"data row2 col5\" >0</td>\n                        <td id=\"T_8e382_row2_col6\" class=\"data row2 col6\" >0</td>\n                        <td id=\"T_8e382_row2_col7\" class=\"data row2 col7\" >0</td>\n                        <td id=\"T_8e382_row2_col8\" class=\"data row2 col8\" >0</td>\n                        <td id=\"T_8e382_row2_col9\" class=\"data row2 col9\" >1</td>\n                        <td id=\"T_8e382_row2_col10\" class=\"data row2 col10\" >0</td>\n                        <td id=\"T_8e382_row2_col11\" class=\"data row2 col11\" >0</td>\n                        <td id=\"T_8e382_row2_col12\" class=\"data row2 col12\" >0</td>\n                        <td id=\"T_8e382_row2_col13\" class=\"data row2 col13\" >0</td>\n                        <td id=\"T_8e382_row2_col14\" class=\"data row2 col14\" >0</td>\n                        <td id=\"T_8e382_row2_col15\" class=\"data row2 col15\" >0</td>\n                        <td id=\"T_8e382_row2_col16\" class=\"data row2 col16\" >0</td>\n                        <td id=\"T_8e382_row2_col17\" class=\"data row2 col17\" >0</td>\n                        <td id=\"T_8e382_row2_col18\" class=\"data row2 col18\" >0</td>\n                        <td id=\"T_8e382_row2_col19\" class=\"data row2 col19\" >0</td>\n                        <td id=\"T_8e382_row2_col20\" class=\"data row2 col20\" >0</td>\n                        <td id=\"T_8e382_row2_col21\" class=\"data row2 col21\" >1</td>\n                        <td id=\"T_8e382_row2_col22\" class=\"data row2 col22\" >1</td>\n                        <td id=\"T_8e382_row2_col23\" class=\"data row2 col23\" >1</td>\n            </tr>\n            <tr>\n                        <th id=\"T_8e382_level0_row3\" class=\"row_heading level0 row3\" >F6</th>\n                        <td id=\"T_8e382_row3_col0\" class=\"data row3 col0\" >0</td>\n                        <td id=\"T_8e382_row3_col1\" class=\"data row3 col1\" >0</td>\n                        <td id=\"T_8e382_row3_col2\" class=\"data row3 col2\" >1</td>\n                        <td id=\"T_8e382_row3_col3\" class=\"data row3 col3\" >1</td>\n                        <td id=\"T_8e382_row3_col4\" class=\"data row3 col4\" >0</td>\n                        <td id=\"T_8e382_row3_col5\" class=\"data row3 col5\" >0</td>\n                        <td id=\"T_8e382_row3_col6\" class=\"data row3 col6\" >0</td>\n                        <td id=\"T_8e382_row3_col7\" class=\"data row3 col7\" >0</td>\n                        <td id=\"T_8e382_row3_col8\" class=\"data row3 col8\" >0</td>\n                        <td id=\"T_8e382_row3_col9\" class=\"data row3 col9\" >1</td>\n                        <td id=\"T_8e382_row3_col10\" class=\"data row3 col10\" >0</td>\n                        <td id=\"T_8e382_row3_col11\" class=\"data row3 col11\" >0</td>\n                        <td id=\"T_8e382_row3_col12\" class=\"data row3 col12\" >0</td>\n                        <td id=\"T_8e382_row3_col13\" class=\"data row3 col13\" >0</td>\n                        <td id=\"T_8e382_row3_col14\" class=\"data row3 col14\" >0</td>\n                        <td id=\"T_8e382_row3_col15\" class=\"data row3 col15\" >0</td>\n                        <td id=\"T_8e382_row3_col16\" class=\"data row3 col16\" >0</td>\n                        <td id=\"T_8e382_row3_col17\" class=\"data row3 col17\" >0</td>\n                        <td id=\"T_8e382_row3_col18\" class=\"data row3 col18\" >0</td>\n                        <td id=\"T_8e382_row3_col19\" class=\"data row3 col19\" >0</td>\n                        <td id=\"T_8e382_row3_col20\" class=\"data row3 col20\" >0</td>\n                        <td id=\"T_8e382_row3_col21\" class=\"data row3 col21\" >1</td>\n                        <td id=\"T_8e382_row3_col22\" class=\"data row3 col22\" >1</td>\n                        <td id=\"T_8e382_row3_col23\" class=\"data row3 col23\" >1</td>\n            </tr>\n            <tr>\n                        <th id=\"T_8e382_level0_row4\" class=\"row_heading level0 row4\" >F5</th>\n                        <td id=\"T_8e382_row4_col0\" class=\"data row4 col0\" >0</td>\n                        <td id=\"T_8e382_row4_col1\" class=\"data row4 col1\" >1</td>\n                        <td id=\"T_8e382_row4_col2\" class=\"data row4 col2\" >1</td>\n                        <td id=\"T_8e382_row4_col3\" class=\"data row4 col3\" >1</td>\n                        <td id=\"T_8e382_row4_col4\" class=\"data row4 col4\" >1</td>\n                        <td id=\"T_8e382_row4_col5\" class=\"data row4 col5\" >0</td>\n                        <td id=\"T_8e382_row4_col6\" class=\"data row4 col6\" >0</td>\n                        <td id=\"T_8e382_row4_col7\" class=\"data row4 col7\" >0</td>\n                        <td id=\"T_8e382_row4_col8\" class=\"data row4 col8\" >0</td>\n                        <td id=\"T_8e382_row4_col9\" class=\"data row4 col9\" >1</td>\n                        <td id=\"T_8e382_row4_col10\" class=\"data row4 col10\" >0</td>\n                        <td id=\"T_8e382_row4_col11\" class=\"data row4 col11\" >1</td>\n                        <td id=\"T_8e382_row4_col12\" class=\"data row4 col12\" >0</td>\n                        <td id=\"T_8e382_row4_col13\" class=\"data row4 col13\" >1</td>\n                        <td id=\"T_8e382_row4_col14\" class=\"data row4 col14\" >0</td>\n                        <td id=\"T_8e382_row4_col15\" class=\"data row4 col15\" >0</td>\n                        <td id=\"T_8e382_row4_col16\" class=\"data row4 col16\" >0</td>\n                        <td id=\"T_8e382_row4_col17\" class=\"data row4 col17\" >0</td>\n                        <td id=\"T_8e382_row4_col18\" class=\"data row4 col18\" >1</td>\n                        <td id=\"T_8e382_row4_col19\" class=\"data row4 col19\" >0</td>\n                        <td id=\"T_8e382_row4_col20\" class=\"data row4 col20\" >1</td>\n                        <td id=\"T_8e382_row4_col21\" class=\"data row4 col21\" >1</td>\n                        <td id=\"T_8e382_row4_col22\" class=\"data row4 col22\" >1</td>\n                        <td id=\"T_8e382_row4_col23\" class=\"data row4 col23\" >1</td>\n            </tr>\n            <tr>\n                        <th id=\"T_8e382_level0_row5\" class=\"row_heading level0 row5\" >F4</th>\n                        <td id=\"T_8e382_row5_col0\" class=\"data row5 col0\" >1</td>\n                        <td id=\"T_8e382_row5_col1\" class=\"data row5 col1\" >1</td>\n                        <td id=\"T_8e382_row5_col2\" class=\"data row5 col2\" >1</td>\n                        <td id=\"T_8e382_row5_col3\" class=\"data row5 col3\" >1</td>\n                        <td id=\"T_8e382_row5_col4\" class=\"data row5 col4\" >1</td>\n                        <td id=\"T_8e382_row5_col5\" class=\"data row5 col5\" >1</td>\n                        <td id=\"T_8e382_row5_col6\" class=\"data row5 col6\" >1</td>\n                        <td id=\"T_8e382_row5_col7\" class=\"data row5 col7\" >1</td>\n                        <td id=\"T_8e382_row5_col8\" class=\"data row5 col8\" >1</td>\n                        <td id=\"T_8e382_row5_col9\" class=\"data row5 col9\" >1</td>\n                        <td id=\"T_8e382_row5_col10\" class=\"data row5 col10\" >0</td>\n                        <td id=\"T_8e382_row5_col11\" class=\"data row5 col11\" >1</td>\n                        <td id=\"T_8e382_row5_col12\" class=\"data row5 col12\" >0</td>\n                        <td id=\"T_8e382_row5_col13\" class=\"data row5 col13\" >1</td>\n                        <td id=\"T_8e382_row5_col14\" class=\"data row5 col14\" >0</td>\n                        <td id=\"T_8e382_row5_col15\" class=\"data row5 col15\" >0</td>\n                        <td id=\"T_8e382_row5_col16\" class=\"data row5 col16\" >0</td>\n                        <td id=\"T_8e382_row5_col17\" class=\"data row5 col17\" >1</td>\n                        <td id=\"T_8e382_row5_col18\" class=\"data row5 col18\" >1</td>\n                        <td id=\"T_8e382_row5_col19\" class=\"data row5 col19\" >1</td>\n                        <td id=\"T_8e382_row5_col20\" class=\"data row5 col20\" >1</td>\n                        <td id=\"T_8e382_row5_col21\" class=\"data row5 col21\" >1</td>\n                        <td id=\"T_8e382_row5_col22\" class=\"data row5 col22\" >1</td>\n                        <td id=\"T_8e382_row5_col23\" class=\"data row5 col23\" >1</td>\n            </tr>\n            <tr>\n                        <th id=\"T_8e382_level0_row6\" class=\"row_heading level0 row6\" >F3</th>\n                        <td id=\"T_8e382_row6_col0\" class=\"data row6 col0\" >1</td>\n                        <td id=\"T_8e382_row6_col1\" class=\"data row6 col1\" >1</td>\n                        <td id=\"T_8e382_row6_col2\" class=\"data row6 col2\" >1</td>\n                        <td id=\"T_8e382_row6_col3\" class=\"data row6 col3\" >1</td>\n                        <td id=\"T_8e382_row6_col4\" class=\"data row6 col4\" >1</td>\n                        <td id=\"T_8e382_row6_col5\" class=\"data row6 col5\" >1</td>\n                        <td id=\"T_8e382_row6_col6\" class=\"data row6 col6\" >1</td>\n                        <td id=\"T_8e382_row6_col7\" class=\"data row6 col7\" >1</td>\n                        <td id=\"T_8e382_row6_col8\" class=\"data row6 col8\" >1</td>\n                        <td id=\"T_8e382_row6_col9\" class=\"data row6 col9\" >1</td>\n                        <td id=\"T_8e382_row6_col10\" class=\"data row6 col10\" >1</td>\n                        <td id=\"T_8e382_row6_col11\" class=\"data row6 col11\" >1</td>\n                        <td id=\"T_8e382_row6_col12\" class=\"data row6 col12\" >1</td>\n                        <td id=\"T_8e382_row6_col13\" class=\"data row6 col13\" >1</td>\n                        <td id=\"T_8e382_row6_col14\" class=\"data row6 col14\" >1</td>\n                        <td id=\"T_8e382_row6_col15\" class=\"data row6 col15\" >1</td>\n                        <td id=\"T_8e382_row6_col16\" class=\"data row6 col16\" >1</td>\n                        <td id=\"T_8e382_row6_col17\" class=\"data row6 col17\" >1</td>\n                        <td id=\"T_8e382_row6_col18\" class=\"data row6 col18\" >1</td>\n                        <td id=\"T_8e382_row6_col19\" class=\"data row6 col19\" >1</td>\n                        <td id=\"T_8e382_row6_col20\" class=\"data row6 col20\" >1</td>\n                        <td id=\"T_8e382_row6_col21\" class=\"data row6 col21\" >1</td>\n                        <td id=\"T_8e382_row6_col22\" class=\"data row6 col22\" >1</td>\n                        <td id=\"T_8e382_row6_col23\" class=\"data row6 col23\" >1</td>\n            </tr>\n            <tr>\n                        <th id=\"T_8e382_level0_row7\" class=\"row_heading level0 row7\" >F2</th>\n                        <td id=\"T_8e382_row7_col0\" class=\"data row7 col0\" >1</td>\n                        <td id=\"T_8e382_row7_col1\" class=\"data row7 col1\" >1</td>\n                        <td id=\"T_8e382_row7_col2\" class=\"data row7 col2\" >1</td>\n                        <td id=\"T_8e382_row7_col3\" class=\"data row7 col3\" >1</td>\n                        <td id=\"T_8e382_row7_col4\" class=\"data row7 col4\" >1</td>\n                        <td id=\"T_8e382_row7_col5\" class=\"data row7 col5\" >1</td>\n                        <td id=\"T_8e382_row7_col6\" class=\"data row7 col6\" >1</td>\n                        <td id=\"T_8e382_row7_col7\" class=\"data row7 col7\" >1</td>\n                        <td id=\"T_8e382_row7_col8\" class=\"data row7 col8\" >1</td>\n                        <td id=\"T_8e382_row7_col9\" class=\"data row7 col9\" >1</td>\n                        <td id=\"T_8e382_row7_col10\" class=\"data row7 col10\" >1</td>\n                        <td id=\"T_8e382_row7_col11\" class=\"data row7 col11\" >1</td>\n                        <td id=\"T_8e382_row7_col12\" class=\"data row7 col12\" >1</td>\n                        <td id=\"T_8e382_row7_col13\" class=\"data row7 col13\" >1</td>\n                        <td id=\"T_8e382_row7_col14\" class=\"data row7 col14\" >1</td>\n                        <td id=\"T_8e382_row7_col15\" class=\"data row7 col15\" >1</td>\n                        <td id=\"T_8e382_row7_col16\" class=\"data row7 col16\" >1</td>\n                        <td id=\"T_8e382_row7_col17\" class=\"data row7 col17\" >1</td>\n                        <td id=\"T_8e382_row7_col18\" class=\"data row7 col18\" >1</td>\n                        <td id=\"T_8e382_row7_col19\" class=\"data row7 col19\" >1</td>\n                        <td id=\"T_8e382_row7_col20\" class=\"data row7 col20\" >1</td>\n                        <td id=\"T_8e382_row7_col21\" class=\"data row7 col21\" >1</td>\n                        <td id=\"T_8e382_row7_col22\" class=\"data row7 col22\" >1</td>\n                        <td id=\"T_8e382_row7_col23\" class=\"data row7 col23\" >1</td>\n            </tr>\n            <tr>\n                        <th id=\"T_8e382_level0_row8\" class=\"row_heading level0 row8\" >F1</th>\n                        <td id=\"T_8e382_row8_col0\" class=\"data row8 col0\" >1</td>\n                        <td id=\"T_8e382_row8_col1\" class=\"data row8 col1\" >1</td>\n                        <td id=\"T_8e382_row8_col2\" class=\"data row8 col2\" >1</td>\n                        <td id=\"T_8e382_row8_col3\" class=\"data row8 col3\" >1</td>\n                        <td id=\"T_8e382_row8_col4\" class=\"data row8 col4\" >1</td>\n                        <td id=\"T_8e382_row8_col5\" class=\"data row8 col5\" >1</td>\n                        <td id=\"T_8e382_row8_col6\" class=\"data row8 col6\" >1</td>\n                        <td id=\"T_8e382_row8_col7\" class=\"data row8 col7\" >1</td>\n                        <td id=\"T_8e382_row8_col8\" class=\"data row8 col8\" >1</td>\n                        <td id=\"T_8e382_row8_col9\" class=\"data row8 col9\" >1</td>\n                        <td id=\"T_8e382_row8_col10\" class=\"data row8 col10\" >1</td>\n                        <td id=\"T_8e382_row8_col11\" class=\"data row8 col11\" >1</td>\n                        <td id=\"T_8e382_row8_col12\" class=\"data row8 col12\" >1</td>\n                        <td id=\"T_8e382_row8_col13\" class=\"data row8 col13\" >1</td>\n                        <td id=\"T_8e382_row8_col14\" class=\"data row8 col14\" >1</td>\n                        <td id=\"T_8e382_row8_col15\" class=\"data row8 col15\" >1</td>\n                        <td id=\"T_8e382_row8_col16\" class=\"data row8 col16\" >1</td>\n                        <td id=\"T_8e382_row8_col17\" class=\"data row8 col17\" >1</td>\n                        <td id=\"T_8e382_row8_col18\" class=\"data row8 col18\" >1</td>\n                        <td id=\"T_8e382_row8_col19\" class=\"data row8 col19\" >1</td>\n                        <td id=\"T_8e382_row8_col20\" class=\"data row8 col20\" >1</td>\n                        <td id=\"T_8e382_row8_col21\" class=\"data row8 col21\" >1</td>\n                        <td id=\"T_8e382_row8_col22\" class=\"data row8 col22\" >0</td>\n                        <td id=\"T_8e382_row8_col23\" class=\"data row8 col23\" >1</td>\n            </tr>\n            <tr>\n                        <th id=\"T_8e382_level0_row9\" class=\"row_heading level0 row9\" >B1</th>\n                        <td id=\"T_8e382_row9_col0\" class=\"data row9 col0\" >1</td>\n                        <td id=\"T_8e382_row9_col1\" class=\"data row9 col1\" >1</td>\n                        <td id=\"T_8e382_row9_col2\" class=\"data row9 col2\" >1</td>\n                        <td id=\"T_8e382_row9_col3\" class=\"data row9 col3\" >1</td>\n                        <td id=\"T_8e382_row9_col4\" class=\"data row9 col4\" >1</td>\n                        <td id=\"T_8e382_row9_col5\" class=\"data row9 col5\" >1</td>\n                        <td id=\"T_8e382_row9_col6\" class=\"data row9 col6\" >0</td>\n                        <td id=\"T_8e382_row9_col7\" class=\"data row9 col7\" >1</td>\n                        <td id=\"T_8e382_row9_col8\" class=\"data row9 col8\" >1</td>\n                        <td id=\"T_8e382_row9_col9\" class=\"data row9 col9\" >1</td>\n                        <td id=\"T_8e382_row9_col10\" class=\"data row9 col10\" >1</td>\n                        <td id=\"T_8e382_row9_col11\" class=\"data row9 col11\" >1</td>\n                        <td id=\"T_8e382_row9_col12\" class=\"data row9 col12\" >0</td>\n                        <td id=\"T_8e382_row9_col13\" class=\"data row9 col13\" >1</td>\n                        <td id=\"T_8e382_row9_col14\" class=\"data row9 col14\" >1</td>\n                        <td id=\"T_8e382_row9_col15\" class=\"data row9 col15\" >0</td>\n                        <td id=\"T_8e382_row9_col16\" class=\"data row9 col16\" >0</td>\n                        <td id=\"T_8e382_row9_col17\" class=\"data row9 col17\" >0</td>\n                        <td id=\"T_8e382_row9_col18\" class=\"data row9 col18\" >1</td>\n                        <td id=\"T_8e382_row9_col19\" class=\"data row9 col19\" >1</td>\n                        <td id=\"T_8e382_row9_col20\" class=\"data row9 col20\" >1</td>\n                        <td id=\"T_8e382_row9_col21\" class=\"data row9 col21\" >1</td>\n                        <td id=\"T_8e382_row9_col22\" class=\"data row9 col22\" >1</td>\n                        <td id=\"T_8e382_row9_col23\" class=\"data row9 col23\" >1</td>\n            </tr>\n            <tr>\n                        <th id=\"T_8e382_level0_row10\" class=\"row_heading level0 row10\" >B2</th>\n                        <td id=\"T_8e382_row10_col0\" class=\"data row10 col0\" >0</td>\n                        <td id=\"T_8e382_row10_col1\" class=\"data row10 col1\" >0</td>\n                        <td id=\"T_8e382_row10_col2\" class=\"data row10 col2\" >0</td>\n                        <td id=\"T_8e382_row10_col3\" class=\"data row10 col3\" >0</td>\n                        <td id=\"T_8e382_row10_col4\" class=\"data row10 col4\" >1</td>\n                        <td id=\"T_8e382_row10_col5\" class=\"data row10 col5\" >0</td>\n                        <td id=\"T_8e382_row10_col6\" class=\"data row10 col6\" >0</td>\n                        <td id=\"T_8e382_row10_col7\" class=\"data row10 col7\" >0</td>\n                        <td id=\"T_8e382_row10_col8\" class=\"data row10 col8\" >0</td>\n                        <td id=\"T_8e382_row10_col9\" class=\"data row10 col9\" >0</td>\n                        <td id=\"T_8e382_row10_col10\" class=\"data row10 col10\" >0</td>\n                        <td id=\"T_8e382_row10_col11\" class=\"data row10 col11\" >0</td>\n                        <td id=\"T_8e382_row10_col12\" class=\"data row10 col12\" >0</td>\n                        <td id=\"T_8e382_row10_col13\" class=\"data row10 col13\" >0</td>\n                        <td id=\"T_8e382_row10_col14\" class=\"data row10 col14\" >1</td>\n                        <td id=\"T_8e382_row10_col15\" class=\"data row10 col15\" >0</td>\n                        <td id=\"T_8e382_row10_col16\" class=\"data row10 col16\" >0</td>\n                        <td id=\"T_8e382_row10_col17\" class=\"data row10 col17\" >0</td>\n                        <td id=\"T_8e382_row10_col18\" class=\"data row10 col18\" >0</td>\n                        <td id=\"T_8e382_row10_col19\" class=\"data row10 col19\" >1</td>\n                        <td id=\"T_8e382_row10_col20\" class=\"data row10 col20\" >1</td>\n                        <td id=\"T_8e382_row10_col21\" class=\"data row10 col21\" >0</td>\n                        <td id=\"T_8e382_row10_col22\" class=\"data row10 col22\" >0</td>\n                        <td id=\"T_8e382_row10_col23\" class=\"data row10 col23\" >0</td>\n            </tr>\n    </tbody></table>"},"metadata":{}}]},{"cell_type":"markdown","source":"### ibeacon","metadata":{}},{"cell_type":"code","source":"import numpy as np\nimport pandas as pd\npd.set_option(\"display.max_colwidth\", 50)\n    \nimport matplotlib.pyplot as plt\nimport seaborn as sns\n\nimport glob\nimport os\nimport sys\nimport math\nimport gc\nimport json \nimport re\nfrom tqdm import tqdm\n\nimport warnings # Supress warnings \nwarnings.filterwarnings('ignore')\n\nPATH = '../input/indoor-location-navigation/'\n\nsubmission = pd.read_csv(f'{PATH}sample_submission.csv')","metadata":{"execution":{"iopub.status.busy":"2023-05-05T12:18:18.863381Z","iopub.execute_input":"2023-05-05T12:18:18.863823Z","iopub.status.idle":"2023-05-05T12:18:18.912982Z","shell.execute_reply.started":"2023-05-05T12:18:18.863776Z","shell.execute_reply":"2023-05-05T12:18:18.912145Z"},"trusted":true},"execution_count":4,"outputs":[]},{"cell_type":"code","source":"# Assign each iBeacon distance to a waypoint position in building.\nfrom dataclasses import dataclass\n\n@dataclass\nclass ReadData:\n    # Removed other signal info acquisition for simplicity reasons ...\n    ibeacon: np.ndarray\n    waypoint: np.ndarray\n\n\ndef read_data_file(data_filename):\n    # Removed other signal info acquisition for simplicity reasons ...\n    ibeacon = []\n    waypoint = []\n\n    with open(data_filename, 'r', encoding='utf-8') as file:\n        lines = file.readlines()\n\n    for line_data in lines:\n        line_data = line_data.strip()\n        if not line_data or line_data[0] == '#':\n            continue\n\n        line_data = line_data.split('\\t')\n\n        # Removed other signal info acquisition for simplicity reasons ...\n\n        if line_data[1] == 'TYPE_BEACON':\n            ts = line_data[0]\n            uuid = line_data[2]\n            major = line_data[3]\n            minor = line_data[4]\n            rssi = line_data[6]\n            distance = line_data[7] # Newly added\n            \n            ibeacon_data = [ts, '_'.join([uuid, major, minor]), rssi, distance]\n            \n            ibeacon.append(ibeacon_data)\n            continue\n\n        if line_data[1] == 'TYPE_WAYPOINT':\n            waypoint.append([int(line_data[0]), float(line_data[2]), float(line_data[3])])\n\n    # Removed other signal info acquisition for simplicity reasons ...\n\n    ibeacon = np.array(ibeacon)\n    waypoint = np.array(waypoint)\n\n    return ReadData(ibeacon, waypoint)","metadata":{"execution":{"iopub.status.busy":"2023-05-05T12:18:18.914517Z","iopub.execute_input":"2023-05-05T12:18:18.914791Z","iopub.status.idle":"2023-05-05T12:18:19.241255Z","shell.execute_reply.started":"2023-05-05T12:18:18.914763Z","shell.execute_reply":"2023-05-05T12:18:19.240161Z"},"trusted":true},"execution_count":5,"outputs":[]},{"cell_type":"code","source":"def encode_floor(floor):\n    \"\"\"\n    Encodes floor string to integer\n    \"\"\"\n    # Get floor number\n    encoded_floor = int(re.findall('[0-9]+', floor)[0])\n    \n    if floor.find('B') == 0:\n        # Multiply with -1 incase of B floor\n        encoded_floor = (-1)*encoded_floor\n    else: \n        # Subtract one floor to start at 0 for F1\n        encoded_floor = encoded_floor -1\n        \n    return encoded_floor\n\n# The following code is copied and edited from https://www.kaggle.com/jiweiliu/wifi-label-encode\nACOLS = ['timestamp','x','y','z']\n        \nFIELDS = {\n    'acce': ACOLS,\n    'acce_uncali': ACOLS,\n    'gyro': ACOLS,\n    'gyro_uncali': ACOLS,\n    'magn': ACOLS,\n    'magn_uncali': ACOLS,\n    'ahrs': ACOLS,\n    'wifi': ['timestamp','ssid','bssid','rssi','last_timestamp'],\n    'ibeacon': ['timestamp','id','rssi', 'distance'],\n    'waypoint': ['timestamp','x','y']\n}\n\ndef create_dummy_df(cols):\n    \"\"\"\n    Edited from https://www.kaggle.com/jiweiliu/wifi-label-encode\n    \"\"\"\n    df = pd.DataFrame()\n    for col in cols:\n        df[col] = [0]\n        if col in ['ssid','bssid']:\n            df[col] = df[col].map(str)\n    return df\n\ndef to_frame(data, col):    \n    \"\"\"\n    Edited from https://www.kaggle.com/jiweiliu/wifi-label-encode\n    \"\"\"\n    cols = FIELDS[col]\n    if data.shape[0]>0:\n        df = pd.DataFrame(data, columns=cols)\n    else:\n        df = create_dummy_df(cols)\n    for col in df.columns:\n        if 'timestamp' in col:\n            df[col] = df[col].astype('int64')\n    return df","metadata":{"execution":{"iopub.status.busy":"2023-05-05T07:16:24.729947Z","iopub.execute_input":"2023-05-05T07:16:24.7306Z","iopub.status.idle":"2023-05-05T07:16:24.820775Z","shell.execute_reply.started":"2023-05-05T07:16:24.730561Z","shell.execute_reply":"2023-05-05T07:16:24.819982Z"},"trusted":true},"execution_count":10,"outputs":[]},{"cell_type":"code","source":"submission['building'] = submission[\"site_path_timestamp\"].apply(lambda x: x.split(\"_\")[0])\nprint(f\"The test set convers {submission['building'].nunique()} buildings with {len(submission)} pathes to predict.\")\nused_buildings = list(submission['building'].unique())","metadata":{"execution":{"iopub.status.busy":"2023-05-05T07:16:25.272271Z","iopub.execute_input":"2023-05-05T07:16:25.272931Z","iopub.status.idle":"2023-05-05T07:16:25.297135Z","shell.execute_reply.started":"2023-05-05T07:16:25.272866Z","shell.execute_reply":"2023-05-05T07:16:25.29605Z"},"trusted":true},"execution_count":11,"outputs":[{"name":"stdout","text":"The test set convers 24 buildings with 10133 pathes to predict.\n","output_type":"stream"}]},{"cell_type":"code","source":"train_df = pd.DataFrame()\nbuilding_dict = {}\nfor building in used_buildings:\n    building_dict['building'] = building\n    for floor in os.listdir(f\"{PATH}/train/{building}\"):\n        building_dict['floor'] = floor\n        building_dict['floor_enc'] = encode_floor(floor)\n        for path in os.listdir(f\"{PATH}/train/{building}/{floor}\"):\n            building_dict['path'] = path\n            train_df = train_df.append(building_dict, ignore_index=True)\n\ndisplay(train_df.head().style.set_caption('Training Data'))\ntrain_df.to_csv(\"train_df.csv\", index=False)\n\n# Visualize\nbuilding_overview_df = train_df.groupby(['building', 'floor_enc']).path.nunique().to_frame().reset_index(drop=False)\nbuilding_overview_df = building_overview_df.pivot(index='building', columns='floor_enc')['path'].fillna(0)\nbuilding_overview_df.style.background_gradient(cmap='Blues', vmin=0, vmax=150).format(\"{:.0f}\").set_caption('Number Training Pathes per Floor for Buildings in Test Set')","metadata":{"execution":{"iopub.status.busy":"2023-05-05T07:16:27.309546Z","iopub.execute_input":"2023-05-05T07:16:27.309956Z","iopub.status.idle":"2023-05-05T07:17:14.939575Z","shell.execute_reply.started":"2023-05-05T07:16:27.309913Z","shell.execute_reply":"2023-05-05T07:17:14.938221Z"},"trusted":true},"execution_count":12,"outputs":[{"output_type":"display_data","data":{"text/plain":"<pandas.io.formats.style.Styler at 0x7225d667de50>","text/html":"<style  type=\"text/css\" >\n</style><table id=\"T_3c198_\" ><caption>Training Data</caption><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >building</th>        <th class=\"col_heading level0 col1\" >floor</th>        <th class=\"col_heading level0 col2\" >floor_enc</th>        <th class=\"col_heading level0 col3\" >path</th>    </tr></thead><tbody>\n                <tr>\n                        <th id=\"T_3c198_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n                        <td id=\"T_3c198_row0_col0\" class=\"data row0 col0\" >5a0546857ecc773753327266</td>\n                        <td id=\"T_3c198_row0_col1\" class=\"data row0 col1\" >B1</td>\n                        <td id=\"T_3c198_row0_col2\" class=\"data row0 col2\" >-1.000000</td>\n                        <td id=\"T_3c198_row0_col3\" class=\"data row0 col3\" >5e1580adf4c3420006d520d4.txt</td>\n            </tr>\n            <tr>\n                        <th id=\"T_3c198_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n                        <td id=\"T_3c198_row1_col0\" class=\"data row1 col0\" >5a0546857ecc773753327266</td>\n                        <td id=\"T_3c198_row1_col1\" class=\"data row1 col1\" >B1</td>\n                        <td id=\"T_3c198_row1_col2\" class=\"data row1 col2\" >-1.000000</td>\n                        <td id=\"T_3c198_row1_col3\" class=\"data row1 col3\" >5e158ecdf4c3420006d52162.txt</td>\n            </tr>\n            <tr>\n                        <th id=\"T_3c198_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n                        <td id=\"T_3c198_row2_col0\" class=\"data row2 col0\" >5a0546857ecc773753327266</td>\n                        <td id=\"T_3c198_row2_col1\" class=\"data row2 col1\" >B1</td>\n                        <td id=\"T_3c198_row2_col2\" class=\"data row2 col2\" >-1.000000</td>\n                        <td id=\"T_3c198_row2_col3\" class=\"data row2 col3\" >5e158ef31506f2000638fd1d.txt</td>\n            </tr>\n            <tr>\n                        <th id=\"T_3c198_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n                        <td id=\"T_3c198_row3_col0\" class=\"data row3 col0\" >5a0546857ecc773753327266</td>\n                        <td id=\"T_3c198_row3_col1\" class=\"data row3 col1\" >B1</td>\n                        <td id=\"T_3c198_row3_col2\" class=\"data row3 col2\" >-1.000000</td>\n                        <td id=\"T_3c198_row3_col3\" class=\"data row3 col3\" >5e15730b1506f2000638fc29.txt</td>\n            </tr>\n            <tr>\n                        <th id=\"T_3c198_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n                        <td id=\"T_3c198_row4_col0\" class=\"data row4 col0\" >5a0546857ecc773753327266</td>\n                        <td id=\"T_3c198_row4_col1\" class=\"data row4 col1\" >B1</td>\n                        <td id=\"T_3c198_row4_col2\" class=\"data row4 col2\" >-1.000000</td>\n                        <td id=\"T_3c198_row4_col3\" class=\"data row4 col3\" >5e1580d5f4c3420006d520e8.txt</td>\n            </tr>\n    </tbody></table>"},"metadata":{}},{"execution_count":12,"output_type":"execute_result","data":{"text/plain":"<pandas.io.formats.style.Styler at 0x7225d66d6fd0>","text/html":"<style  type=\"text/css\" 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}#T_cc70f_row12_col2,#T_cc70f_row22_col9{\n            background-color:  #4a98c9;\n            color:  #000000;\n        }#T_cc70f_row13_col1{\n            background-color:  #74b3d8;\n            color:  #000000;\n        }#T_cc70f_row13_col2,#T_cc70f_row19_col4,#T_cc70f_row20_col4{\n            background-color:  #4493c7;\n            color:  #000000;\n        }#T_cc70f_row13_col3{\n            background-color:  #a9cfe5;\n            color:  #000000;\n        }#T_cc70f_row13_col4{\n            background-color:  #bdd7ec;\n            color:  #000000;\n        }#T_cc70f_row13_col5{\n            background-color:  #b4d3e9;\n            color:  #000000;\n        }#T_cc70f_row13_col6{\n            background-color:  #cadef0;\n            color:  #000000;\n        }#T_cc70f_row14_col0{\n            background-color:  #79b5d9;\n            color:  #000000;\n        }#T_cc70f_row14_col1{\n            background-color:  #1764ab;\n            color:  #f1f1f1;\n        }#T_cc70f_row14_col2{\n            background-color:  #1d6cb1;\n            color:  #f1f1f1;\n        }#T_cc70f_row14_col3{\n            background-color:  #8cc0dd;\n            color:  #000000;\n        }#T_cc70f_row15_col2,#T_cc70f_row19_col0{\n            background-color:  #bad6eb;\n            color:  #000000;\n        }#T_cc70f_row15_col3{\n            background-color:  #deebf7;\n            color:  #000000;\n        }#T_cc70f_row16_col4,#T_cc70f_row20_col3,#T_cc70f_row22_col3{\n            background-color:  #3f8fc5;\n            color:  #000000;\n        }#T_cc70f_row17_col2{\n            background-color:  #97c6df;\n            color:  #000000;\n        }#T_cc70f_row17_col3,#T_cc70f_row19_col3{\n            background-color:  #a3cce3;\n            color:  #000000;\n        }#T_cc70f_row18_col1,#T_cc70f_row19_col1,#T_cc70f_row20_col5{\n            background-color:  #3e8ec4;\n            color:  #000000;\n        }#T_cc70f_row18_col2,#T_cc70f_row23_col4{\n            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color:  #000000;\n        }#T_cc70f_row21_col5{\n            background-color:  #9ac8e0;\n            color:  #000000;\n        }#T_cc70f_row21_col7{\n            background-color:  #c7dbef;\n            color:  #000000;\n        }#T_cc70f_row21_col8{\n            background-color:  #e9f2fa;\n            color:  #000000;\n        }#T_cc70f_row22_col1{\n            background-color:  #519ccc;\n            color:  #000000;\n        }#T_cc70f_row22_col5{\n            background-color:  #2070b4;\n            color:  #f1f1f1;\n        }#T_cc70f_row22_col7{\n            background-color:  #2e7ebc;\n            color:  #000000;\n        }#T_cc70f_row23_col2,#T_cc70f_row23_col6{\n            background-color:  #3282be;\n            color:  #000000;\n        }#T_cc70f_row23_col5{\n            background-color:  #63a8d3;\n            color:  #000000;\n        }#T_cc70f_row23_col7{\n            background-color:  #5da5d1;\n            color:  #000000;\n        }</style><table id=\"T_cc70f_\" ><caption>Number Training Pathes per Floor for Buildings in Test Set</caption><thead>    <tr>        <th class=\"index_name level0\" >floor_enc</th>        <th class=\"col_heading level0 col0\" >-2.0</th>        <th class=\"col_heading level0 col1\" >-1.0</th>        <th class=\"col_heading level0 col2\" >0.0</th>        <th class=\"col_heading level0 col3\" >1.0</th>        <th class=\"col_heading level0 col4\" >2.0</th>        <th class=\"col_heading level0 col5\" >3.0</th>        <th class=\"col_heading level0 col6\" >4.0</th>        <th class=\"col_heading level0 col7\" >5.0</th>        <th class=\"col_heading level0 col8\" >6.0</th>        <th class=\"col_heading level0 col9\" >7.0</th>        <th class=\"col_heading level0 col10\" >8.0</th>    </tr>    <tr>        <th class=\"index_name level0\" >building</th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>    </tr></thead><tbody>\n                <tr>\n                        <th id=\"T_cc70f_level0_row0\" class=\"row_heading level0 row0\" >5a0546857ecc773753327266</th>\n                        <td id=\"T_cc70f_row0_col0\" class=\"data row0 col0\" >0</td>\n                        <td id=\"T_cc70f_row0_col1\" class=\"data row0 col1\" >109</td>\n                        <td id=\"T_cc70f_row0_col2\" class=\"data row0 col2\" >131</td>\n                        <td id=\"T_cc70f_row0_col3\" class=\"data row0 col3\" >110</td>\n                        <td id=\"T_cc70f_row0_col4\" class=\"data row0 col4\" >78</td>\n                        <td id=\"T_cc70f_row0_col5\" class=\"data row0 col5\" >86</td>\n                        <td id=\"T_cc70f_row0_col6\" class=\"data row0 col6\" >0</td>\n                        <td id=\"T_cc70f_row0_col7\" class=\"data row0 col7\" >0</td>\n                        <td id=\"T_cc70f_row0_col8\" class=\"data row0 col8\" >0</td>\n                        <td id=\"T_cc70f_row0_col9\" class=\"data row0 col9\" >0</td>\n                        <td id=\"T_cc70f_row0_col10\" class=\"data row0 col10\" >0</td>\n            </tr>\n            <tr>\n                        <th id=\"T_cc70f_level0_row1\" class=\"row_heading level0 row1\" >5c3c44b80379370013e0fd2b</th>\n                        <td id=\"T_cc70f_row1_col0\" class=\"data row1 col0\" >0</td>\n                        <td id=\"T_cc70f_row1_col1\" class=\"data row1 col1\" >69</td>\n                        <td id=\"T_cc70f_row1_col2\" class=\"data row1 col2\" >109</td>\n                        <td id=\"T_cc70f_row1_col3\" class=\"data row1 col3\" >100</td>\n                        <td id=\"T_cc70f_row1_col4\" class=\"data row1 col4\" >39</td>\n                        <td id=\"T_cc70f_row1_col5\" class=\"data row1 col5\" >47</td>\n                        <td id=\"T_cc70f_row1_col6\" class=\"data row1 col6\" >21</td>\n                        <td id=\"T_cc70f_row1_col7\" class=\"data row1 col7\" >0</td>\n                        <td id=\"T_cc70f_row1_col8\" class=\"data row1 col8\" >0</td>\n                        <td id=\"T_cc70f_row1_col9\" class=\"data row1 col9\" >0</td>\n                        <td id=\"T_cc70f_row1_col10\" class=\"data row1 col10\" >0</td>\n            </tr>\n            <tr>\n                        <th id=\"T_cc70f_level0_row2\" class=\"row_heading level0 row2\" >5d27075f03f801723c2e360f</th>\n                        <td id=\"T_cc70f_row2_col0\" class=\"data row2 col0\" >0</td>\n                        <td id=\"T_cc70f_row2_col1\" class=\"data row2 col1\" >234</td>\n                        <td id=\"T_cc70f_row2_col2\" class=\"data row2 col2\" >284</td>\n                        <td id=\"T_cc70f_row2_col3\" class=\"data row2 col3\" >240</td>\n                        <td id=\"T_cc70f_row2_col4\" class=\"data row2 col4\" >213</td>\n                        <td id=\"T_cc70f_row2_col5\" class=\"data row2 col5\" >144</td>\n                        <td id=\"T_cc70f_row2_col6\" class=\"data row2 col6\" >17</td>\n                        <td id=\"T_cc70f_row2_col7\" class=\"data row2 col7\" >3</td>\n                        <td id=\"T_cc70f_row2_col8\" class=\"data row2 col8\" >6</td>\n                        <td id=\"T_cc70f_row2_col9\" class=\"data row2 col9\" >0</td>\n                        <td id=\"T_cc70f_row2_col10\" class=\"data row2 col10\" >0</td>\n            </tr>\n            <tr>\n                        <th id=\"T_cc70f_level0_row3\" class=\"row_heading level0 row3\" >5d27096c03f801723c31e5e0</th>\n                        <td id=\"T_cc70f_row3_col0\" class=\"data row3 col0\" >0</td>\n                        <td id=\"T_cc70f_row3_col1\" class=\"data row3 col1\" >29</td>\n                        <td id=\"T_cc70f_row3_col2\" class=\"data row3 col2\" >65</td>\n                        <td id=\"T_cc70f_row3_col3\" class=\"data row3 col3\" >73</td>\n                        <td id=\"T_cc70f_row3_col4\" class=\"data row3 col4\" >52</td>\n                        <td id=\"T_cc70f_row3_col5\" class=\"data row3 col5\" >32</td>\n                        <td id=\"T_cc70f_row3_col6\" class=\"data row3 col6\" >50</td>\n                        <td id=\"T_cc70f_row3_col7\" class=\"data row3 col7\" >50</td>\n                        <td id=\"T_cc70f_row3_col8\" class=\"data row3 col8\" >0</td>\n                        <td id=\"T_cc70f_row3_col9\" class=\"data row3 col9\" >0</td>\n                        <td id=\"T_cc70f_row3_col10\" class=\"data row3 col10\" >0</td>\n            </tr>\n            <tr>\n                        <th id=\"T_cc70f_level0_row4\" class=\"row_heading level0 row4\" >5d27097f03f801723c320d97</th>\n                        <td id=\"T_cc70f_row4_col0\" class=\"data row4 col0\" >29</td>\n                        <td id=\"T_cc70f_row4_col1\" class=\"data row4 col1\" >30</td>\n                        <td id=\"T_cc70f_row4_col2\" class=\"data row4 col2\" >17</td>\n                        <td id=\"T_cc70f_row4_col3\" class=\"data row4 col3\" >110</td>\n                        <td id=\"T_cc70f_row4_col4\" class=\"data row4 col4\" >80</td>\n                        <td id=\"T_cc70f_row4_col5\" class=\"data row4 col5\" >82</td>\n                        <td id=\"T_cc70f_row4_col6\" class=\"data row4 col6\" >56</td>\n                        <td id=\"T_cc70f_row4_col7\" class=\"data row4 col7\" >0</td>\n                        <td id=\"T_cc70f_row4_col8\" class=\"data row4 col8\" >0</td>\n                        <td id=\"T_cc70f_row4_col9\" class=\"data row4 col9\" >0</td>\n                        <td id=\"T_cc70f_row4_col10\" class=\"data row4 col10\" >0</td>\n            </tr>\n            <tr>\n                        <th id=\"T_cc70f_level0_row5\" class=\"row_heading level0 row5\" >5d27099f03f801723c32511d</th>\n                        <td id=\"T_cc70f_row5_col0\" class=\"data row5 col0\" >0</td>\n                        <td id=\"T_cc70f_row5_col1\" class=\"data row5 col1\" >13</td>\n                        <td id=\"T_cc70f_row5_col2\" class=\"data row5 col2\" >20</td>\n                        <td id=\"T_cc70f_row5_col3\" class=\"data row5 col3\" >62</td>\n                        <td id=\"T_cc70f_row5_col4\" class=\"data row5 col4\" >18</td>\n                        <td id=\"T_cc70f_row5_col5\" class=\"data row5 col5\" >18</td>\n                        <td id=\"T_cc70f_row5_col6\" class=\"data row5 col6\" >0</td>\n                        <td id=\"T_cc70f_row5_col7\" class=\"data row5 col7\" >0</td>\n                        <td id=\"T_cc70f_row5_col8\" class=\"data row5 col8\" >0</td>\n                        <td id=\"T_cc70f_row5_col9\" class=\"data row5 col9\" >0</td>\n                        <td id=\"T_cc70f_row5_col10\" class=\"data row5 col10\" >0</td>\n            </tr>\n            <tr>\n                        <th id=\"T_cc70f_level0_row6\" class=\"row_heading level0 row6\" >5d2709a003f801723c3251bf</th>\n                        <td id=\"T_cc70f_row6_col0\" class=\"data row6 col0\" >0</td>\n                        <td id=\"T_cc70f_row6_col1\" class=\"data row6 col1\" >0</td>\n                        <td id=\"T_cc70f_row6_col2\" class=\"data row6 col2\" >123</td>\n                        <td id=\"T_cc70f_row6_col3\" class=\"data row6 col3\" >102</td>\n                        <td id=\"T_cc70f_row6_col4\" class=\"data row6 col4\" >25</td>\n                        <td id=\"T_cc70f_row6_col5\" class=\"data row6 col5\" >60</td>\n                        <td id=\"T_cc70f_row6_col6\" class=\"data row6 col6\" >0</td>\n                        <td id=\"T_cc70f_row6_col7\" class=\"data row6 col7\" >0</td>\n                        <td id=\"T_cc70f_row6_col8\" class=\"data row6 col8\" >0</td>\n                        <td id=\"T_cc70f_row6_col9\" class=\"data row6 col9\" >0</td>\n                        <td id=\"T_cc70f_row6_col10\" class=\"data row6 col10\" >0</td>\n            </tr>\n            <tr>\n                        <th id=\"T_cc70f_level0_row7\" class=\"row_heading level0 row7\" >5d2709b303f801723c327472</th>\n                        <td id=\"T_cc70f_row7_col0\" class=\"data row7 col0\" >0</td>\n                        <td id=\"T_cc70f_row7_col1\" class=\"data row7 col1\" >48</td>\n                        <td id=\"T_cc70f_row7_col2\" class=\"data row7 col2\" >240</td>\n                        <td id=\"T_cc70f_row7_col3\" class=\"data row7 col3\" >130</td>\n                        <td id=\"T_cc70f_row7_col4\" class=\"data row7 col4\" >104</td>\n                        <td id=\"T_cc70f_row7_col5\" class=\"data row7 col5\" >117</td>\n                        <td id=\"T_cc70f_row7_col6\" class=\"data row7 col6\" >0</td>\n                        <td id=\"T_cc70f_row7_col7\" class=\"data row7 col7\" >0</td>\n                        <td id=\"T_cc70f_row7_col8\" class=\"data row7 col8\" >0</td>\n                        <td id=\"T_cc70f_row7_col9\" class=\"data row7 col9\" >0</td>\n                        <td id=\"T_cc70f_row7_col10\" class=\"data row7 col10\" >0</td>\n            </tr>\n            <tr>\n                        <th id=\"T_cc70f_level0_row8\" class=\"row_heading level0 row8\" >5d2709bb03f801723c32852c</th>\n                        <td id=\"T_cc70f_row8_col0\" class=\"data row8 col0\" >0</td>\n                        <td id=\"T_cc70f_row8_col1\" class=\"data row8 col1\" >47</td>\n                        <td id=\"T_cc70f_row8_col2\" class=\"data row8 col2\" >68</td>\n                        <td id=\"T_cc70f_row8_col3\" class=\"data row8 col3\" >75</td>\n                        <td id=\"T_cc70f_row8_col4\" class=\"data row8 col4\" >38</td>\n                        <td id=\"T_cc70f_row8_col5\" class=\"data row8 col5\" >36</td>\n                        <td id=\"T_cc70f_row8_col6\" class=\"data row8 col6\" >0</td>\n                        <td id=\"T_cc70f_row8_col7\" class=\"data row8 col7\" >0</td>\n                        <td id=\"T_cc70f_row8_col8\" class=\"data row8 col8\" >0</td>\n                        <td id=\"T_cc70f_row8_col9\" class=\"data row8 col9\" >0</td>\n                        <td id=\"T_cc70f_row8_col10\" class=\"data row8 col10\" >0</td>\n            </tr>\n            <tr>\n                        <th id=\"T_cc70f_level0_row9\" class=\"row_heading level0 row9\" >5d2709c303f801723c3299ee</th>\n                        <td id=\"T_cc70f_row9_col0\" class=\"data row9 col0\" >0</td>\n                        <td id=\"T_cc70f_row9_col1\" class=\"data row9 col1\" >33</td>\n                        <td id=\"T_cc70f_row9_col2\" class=\"data row9 col2\" >99</td>\n                        <td id=\"T_cc70f_row9_col3\" class=\"data row9 col3\" >100</td>\n                        <td id=\"T_cc70f_row9_col4\" class=\"data row9 col4\" >100</td>\n                        <td id=\"T_cc70f_row9_col5\" class=\"data row9 col5\" >107</td>\n                        <td id=\"T_cc70f_row9_col6\" class=\"data row9 col6\" >80</td>\n                        <td id=\"T_cc70f_row9_col7\" class=\"data row9 col7\" >56</td>\n                        <td id=\"T_cc70f_row9_col8\" class=\"data row9 col8\" >50</td>\n                        <td id=\"T_cc70f_row9_col9\" class=\"data row9 col9\" >14</td>\n                        <td id=\"T_cc70f_row9_col10\" class=\"data row9 col10\" >25</td>\n            </tr>\n            <tr>\n                        <th id=\"T_cc70f_level0_row10\" class=\"row_heading level0 row10\" >5d2709d403f801723c32bd39</th>\n                        <td id=\"T_cc70f_row10_col0\" class=\"data row10 col0\" >0</td>\n                        <td id=\"T_cc70f_row10_col1\" class=\"data row10 col1\" >134</td>\n                        <td id=\"T_cc70f_row10_col2\" class=\"data row10 col2\" >97</td>\n                        <td id=\"T_cc70f_row10_col3\" class=\"data row10 col3\" >82</td>\n                        <td id=\"T_cc70f_row10_col4\" class=\"data row10 col4\" >48</td>\n                        <td id=\"T_cc70f_row10_col5\" class=\"data row10 col5\" >0</td>\n                        <td id=\"T_cc70f_row10_col6\" class=\"data row10 col6\" >0</td>\n                        <td id=\"T_cc70f_row10_col7\" class=\"data row10 col7\" >0</td>\n                        <td id=\"T_cc70f_row10_col8\" class=\"data row10 col8\" >0</td>\n                        <td id=\"T_cc70f_row10_col9\" class=\"data row10 col9\" >0</td>\n                        <td id=\"T_cc70f_row10_col10\" class=\"data row10 col10\" >0</td>\n            </tr>\n            <tr>\n                        <th id=\"T_cc70f_level0_row11\" class=\"row_heading level0 row11\" >5d2709e003f801723c32d896</th>\n                        <td id=\"T_cc70f_row11_col0\" class=\"data row11 col0\" >0</td>\n                        <td id=\"T_cc70f_row11_col1\" class=\"data row11 col1\" >73</td>\n                        <td id=\"T_cc70f_row11_col2\" class=\"data row11 col2\" >53</td>\n                        <td id=\"T_cc70f_row11_col3\" class=\"data row11 col3\" >47</td>\n                        <td id=\"T_cc70f_row11_col4\" class=\"data row11 col4\" >77</td>\n                        <td id=\"T_cc70f_row11_col5\" class=\"data row11 col5\" >53</td>\n                        <td id=\"T_cc70f_row11_col6\" class=\"data row11 col6\" >40</td>\n                        <td id=\"T_cc70f_row11_col7\" class=\"data row11 col7\" >0</td>\n                        <td id=\"T_cc70f_row11_col8\" class=\"data row11 col8\" >0</td>\n                        <td id=\"T_cc70f_row11_col9\" class=\"data row11 col9\" >0</td>\n                        <td id=\"T_cc70f_row11_col10\" class=\"data row11 col10\" >0</td>\n            </tr>\n            <tr>\n                        <th id=\"T_cc70f_level0_row12\" class=\"row_heading level0 row12\" >5da138274db8ce0c98bbd3d2</th>\n                        <td id=\"T_cc70f_row12_col0\" class=\"data row12 col0\" >0</td>\n                        <td id=\"T_cc70f_row12_col1\" class=\"data row12 col1\" >0</td>\n                        <td id=\"T_cc70f_row12_col2\" class=\"data row12 col2\" >90</td>\n                        <td id=\"T_cc70f_row12_col3\" class=\"data row12 col3\" >75</td>\n                        <td id=\"T_cc70f_row12_col4\" class=\"data row12 col4\" >48</td>\n                        <td id=\"T_cc70f_row12_col5\" class=\"data row12 col5\" >0</td>\n                        <td id=\"T_cc70f_row12_col6\" class=\"data row12 col6\" >0</td>\n                        <td id=\"T_cc70f_row12_col7\" class=\"data row12 col7\" >0</td>\n                        <td id=\"T_cc70f_row12_col8\" class=\"data row12 col8\" >0</td>\n                        <td id=\"T_cc70f_row12_col9\" class=\"data row12 col9\" >0</td>\n                        <td id=\"T_cc70f_row12_col10\" class=\"data row12 col10\" >0</td>\n            </tr>\n            <tr>\n                        <th id=\"T_cc70f_level0_row13\" class=\"row_heading level0 row13\" >5da1382d4db8ce0c98bbe92e</th>\n                        <td id=\"T_cc70f_row13_col0\" class=\"data row13 col0\" >0</td>\n                        <td id=\"T_cc70f_row13_col1\" class=\"data row13 col1\" >72</td>\n                        <td id=\"T_cc70f_row13_col2\" class=\"data row13 col2\" >93</td>\n                        <td id=\"T_cc70f_row13_col3\" class=\"data row13 col3\" >51</td>\n                        <td id=\"T_cc70f_row13_col4\" class=\"data row13 col4\" >42</td>\n                        <td id=\"T_cc70f_row13_col5\" class=\"data row13 col5\" >46</td>\n                        <td id=\"T_cc70f_row13_col6\" class=\"data row13 col6\" >34</td>\n                        <td id=\"T_cc70f_row13_col7\" class=\"data row13 col7\" >0</td>\n                        <td id=\"T_cc70f_row13_col8\" class=\"data row13 col8\" >0</td>\n                        <td id=\"T_cc70f_row13_col9\" class=\"data row13 col9\" >0</td>\n                        <td id=\"T_cc70f_row13_col10\" class=\"data row13 col10\" >0</td>\n            </tr>\n            <tr>\n                        <th id=\"T_cc70f_level0_row14\" class=\"row_heading level0 row14\" >5da138314db8ce0c98bbf3a0</th>\n                        <td id=\"T_cc70f_row14_col0\" class=\"data row14 col0\" >70</td>\n                        <td id=\"T_cc70f_row14_col1\" class=\"data row14 col1\" >120</td>\n                        <td id=\"T_cc70f_row14_col2\" class=\"data row14 col2\" >115</td>\n                        <td id=\"T_cc70f_row14_col3\" class=\"data row14 col3\" >63</td>\n                        <td id=\"T_cc70f_row14_col4\" class=\"data row14 col4\" >60</td>\n                        <td id=\"T_cc70f_row14_col5\" class=\"data row14 col5\" >0</td>\n                        <td id=\"T_cc70f_row14_col6\" class=\"data row14 col6\" >0</td>\n                        <td id=\"T_cc70f_row14_col7\" class=\"data row14 col7\" >0</td>\n                        <td id=\"T_cc70f_row14_col8\" class=\"data row14 col8\" >0</td>\n                        <td id=\"T_cc70f_row14_col9\" class=\"data row14 col9\" >0</td>\n                        <td id=\"T_cc70f_row14_col10\" class=\"data row14 col10\" >0</td>\n            </tr>\n            <tr>\n                        <th id=\"T_cc70f_level0_row15\" class=\"row_heading level0 row15\" >5da138364db8ce0c98bc00f1</th>\n                        <td id=\"T_cc70f_row15_col0\" class=\"data row15 col0\" >0</td>\n                        <td id=\"T_cc70f_row15_col1\" class=\"data row15 col1\" >0</td>\n                        <td id=\"T_cc70f_row15_col2\" class=\"data row15 col2\" >43</td>\n                        <td id=\"T_cc70f_row15_col3\" class=\"data row15 col3\" >19</td>\n                        <td id=\"T_cc70f_row15_col4\" class=\"data row15 col4\" >20</td>\n                        <td id=\"T_cc70f_row15_col5\" class=\"data row15 col5\" >0</td>\n                        <td id=\"T_cc70f_row15_col6\" class=\"data row15 col6\" >0</td>\n                        <td id=\"T_cc70f_row15_col7\" class=\"data row15 col7\" >0</td>\n                        <td id=\"T_cc70f_row15_col8\" class=\"data row15 col8\" >0</td>\n                        <td id=\"T_cc70f_row15_col9\" class=\"data row15 col9\" >0</td>\n                        <td id=\"T_cc70f_row15_col10\" class=\"data row15 col10\" >0</td>\n            </tr>\n            <tr>\n                        <th id=\"T_cc70f_level0_row16\" class=\"row_heading level0 row16\" >5da1383b4db8ce0c98bc11ab</th>\n                        <td id=\"T_cc70f_row16_col0\" class=\"data row16 col0\" >0</td>\n                        <td id=\"T_cc70f_row16_col1\" class=\"data row16 col1\" >0</td>\n                        <td id=\"T_cc70f_row16_col2\" class=\"data row16 col2\" >47</td>\n                        <td id=\"T_cc70f_row16_col3\" class=\"data row16 col3\" >97</td>\n                        <td id=\"T_cc70f_row16_col4\" class=\"data row16 col4\" >95</td>\n                        <td id=\"T_cc70f_row16_col5\" class=\"data row16 col5\" >0</td>\n                        <td id=\"T_cc70f_row16_col6\" class=\"data row16 col6\" >0</td>\n                        <td id=\"T_cc70f_row16_col7\" class=\"data row16 col7\" >0</td>\n                        <td id=\"T_cc70f_row16_col8\" class=\"data row16 col8\" >0</td>\n                        <td id=\"T_cc70f_row16_col9\" class=\"data row16 col9\" >0</td>\n                        <td id=\"T_cc70f_row16_col10\" class=\"data row16 col10\" >0</td>\n            </tr>\n            <tr>\n                        <th id=\"T_cc70f_level0_row17\" class=\"row_heading level0 row17\" >5da138754db8ce0c98bca82f</th>\n                        <td id=\"T_cc70f_row17_col0\" class=\"data row17 col0\" >0</td>\n                        <td id=\"T_cc70f_row17_col1\" class=\"data row17 col1\" >0</td>\n                        <td id=\"T_cc70f_row17_col2\" class=\"data row17 col2\" >59</td>\n                        <td id=\"T_cc70f_row17_col3\" class=\"data row17 col3\" >54</td>\n                        <td id=\"T_cc70f_row17_col4\" class=\"data row17 col4\" >53</td>\n                        <td id=\"T_cc70f_row17_col5\" class=\"data row17 col5\" >39</td>\n                        <td id=\"T_cc70f_row17_col6\" class=\"data row17 col6\" >0</td>\n                        <td id=\"T_cc70f_row17_col7\" class=\"data row17 col7\" >0</td>\n                        <td id=\"T_cc70f_row17_col8\" class=\"data row17 col8\" >0</td>\n                        <td id=\"T_cc70f_row17_col9\" class=\"data row17 col9\" >0</td>\n                        <td id=\"T_cc70f_row17_col10\" class=\"data row17 col10\" >0</td>\n            </tr>\n            <tr>\n                        <th id=\"T_cc70f_level0_row18\" class=\"row_heading level0 row18\" >5da138764db8ce0c98bcaa46</th>\n                        <td id=\"T_cc70f_row18_col0\" class=\"data row18 col0\" >0</td>\n                        <td id=\"T_cc70f_row18_col1\" class=\"data row18 col1\" >96</td>\n                        <td id=\"T_cc70f_row18_col2\" class=\"data row18 col2\" >111</td>\n                        <td id=\"T_cc70f_row18_col3\" class=\"data row18 col3\" >136</td>\n                        <td id=\"T_cc70f_row18_col4\" class=\"data row18 col4\" >112</td>\n                        <td id=\"T_cc70f_row18_col5\" class=\"data row18 col5\" >41</td>\n                        <td id=\"T_cc70f_row18_col6\" class=\"data row18 col6\" >17</td>\n                        <td id=\"T_cc70f_row18_col7\" class=\"data row18 col7\" >0</td>\n                        <td id=\"T_cc70f_row18_col8\" class=\"data row18 col8\" >0</td>\n                        <td id=\"T_cc70f_row18_col9\" class=\"data row18 col9\" >0</td>\n                        <td id=\"T_cc70f_row18_col10\" class=\"data row18 col10\" >0</td>\n            </tr>\n            <tr>\n                        <th id=\"T_cc70f_level0_row19\" class=\"row_heading level0 row19\" >5da1389e4db8ce0c98bd0547</th>\n                        <td id=\"T_cc70f_row19_col0\" class=\"data row19 col0\" >43</td>\n                        <td id=\"T_cc70f_row19_col1\" class=\"data row19 col1\" >96</td>\n                        <td id=\"T_cc70f_row19_col2\" class=\"data row19 col2\" >38</td>\n                        <td id=\"T_cc70f_row19_col3\" class=\"data row19 col3\" >54</td>\n                        <td id=\"T_cc70f_row19_col4\" class=\"data row19 col4\" >93</td>\n                        <td id=\"T_cc70f_row19_col5\" class=\"data row19 col5\" >190</td>\n                        <td id=\"T_cc70f_row19_col6\" class=\"data row19 col6\" >0</td>\n                        <td id=\"T_cc70f_row19_col7\" class=\"data row19 col7\" >0</td>\n                        <td id=\"T_cc70f_row19_col8\" class=\"data row19 col8\" >0</td>\n                        <td id=\"T_cc70f_row19_col9\" class=\"data row19 col9\" >0</td>\n                        <td id=\"T_cc70f_row19_col10\" class=\"data row19 col10\" >0</td>\n            </tr>\n            <tr>\n                        <th id=\"T_cc70f_level0_row20\" class=\"row_heading level0 row20\" >5da138b74db8ce0c98bd4774</th>\n                        <td id=\"T_cc70f_row20_col0\" class=\"data row20 col0\" >27</td>\n                        <td id=\"T_cc70f_row20_col1\" class=\"data row20 col1\" >219</td>\n                        <td id=\"T_cc70f_row20_col2\" class=\"data row20 col2\" >85</td>\n                        <td id=\"T_cc70f_row20_col3\" class=\"data row20 col3\" >95</td>\n                        <td id=\"T_cc70f_row20_col4\" class=\"data row20 col4\" >93</td>\n                        <td id=\"T_cc70f_row20_col5\" class=\"data row20 col5\" >96</td>\n                        <td id=\"T_cc70f_row20_col6\" class=\"data row20 col6\" >133</td>\n                        <td id=\"T_cc70f_row20_col7\" class=\"data row20 col7\" >0</td>\n                        <td id=\"T_cc70f_row20_col8\" class=\"data row20 col8\" >0</td>\n                        <td id=\"T_cc70f_row20_col9\" class=\"data row20 col9\" >0</td>\n                        <td id=\"T_cc70f_row20_col10\" class=\"data row20 col10\" >0</td>\n            </tr>\n            <tr>\n                        <th id=\"T_cc70f_level0_row21\" class=\"row_heading level0 row21\" >5da958dd46f8266d0737457b</th>\n                        <td id=\"T_cc70f_row21_col0\" class=\"data row21 col0\" >0</td>\n                        <td id=\"T_cc70f_row21_col1\" class=\"data row21 col1\" >76</td>\n                        <td id=\"T_cc70f_row21_col2\" class=\"data row21 col2\" >134</td>\n                        <td id=\"T_cc70f_row21_col3\" class=\"data row21 col3\" >92</td>\n                        <td id=\"T_cc70f_row21_col4\" class=\"data row21 col4\" >88</td>\n                        <td id=\"T_cc70f_row21_col5\" class=\"data row21 col5\" >58</td>\n                        <td id=\"T_cc70f_row21_col6\" class=\"data row21 col6\" >56</td>\n                        <td id=\"T_cc70f_row21_col7\" class=\"data row21 col7\" >37</td>\n                        <td id=\"T_cc70f_row21_col8\" class=\"data row21 col8\" >11</td>\n                        <td id=\"T_cc70f_row21_col9\" class=\"data row21 col9\" >0</td>\n                        <td id=\"T_cc70f_row21_col10\" class=\"data row21 col10\" >0</td>\n            </tr>\n            <tr>\n                        <th id=\"T_cc70f_level0_row22\" class=\"row_heading level0 row22\" >5dbc1d84c1eb61796cf7c010</th>\n                        <td id=\"T_cc70f_row22_col0\" class=\"data row22 col0\" >0</td>\n                        <td id=\"T_cc70f_row22_col1\" class=\"data row22 col1\" >87</td>\n                        <td id=\"T_cc70f_row22_col2\" class=\"data row22 col2\" >0</td>\n                        <td id=\"T_cc70f_row22_col3\" class=\"data row22 col3\" >95</td>\n                        <td id=\"T_cc70f_row22_col4\" class=\"data row22 col4\" >107</td>\n                        <td id=\"T_cc70f_row22_col5\" class=\"data row22 col5\" >113</td>\n                        <td id=\"T_cc70f_row22_col6\" class=\"data row22 col6\" >104</td>\n                        <td id=\"T_cc70f_row22_col7\" class=\"data row22 col7\" >105</td>\n                        <td id=\"T_cc70f_row22_col8\" class=\"data row22 col8\" >92</td>\n                        <td id=\"T_cc70f_row22_col9\" class=\"data row22 col9\" >90</td>\n                        <td id=\"T_cc70f_row22_col10\" class=\"data row22 col10\" >0</td>\n            </tr>\n            <tr>\n                        <th id=\"T_cc70f_level0_row23\" class=\"row_heading level0 row23\" >5dc8cea7659e181adb076a3f</th>\n                        <td id=\"T_cc70f_row23_col0\" class=\"data row23 col0\" >0</td>\n                        <td id=\"T_cc70f_row23_col1\" class=\"data row23 col1\" >76</td>\n                        <td id=\"T_cc70f_row23_col2\" class=\"data row23 col2\" >103</td>\n                        <td id=\"T_cc70f_row23_col3\" class=\"data row23 col3\" >152</td>\n                        <td id=\"T_cc70f_row23_col4\" class=\"data row23 col4\" >111</td>\n                        <td id=\"T_cc70f_row23_col5\" class=\"data row23 col5\" >79</td>\n                        <td id=\"T_cc70f_row23_col6\" class=\"data row23 col6\" >103</td>\n                        <td id=\"T_cc70f_row23_col7\" class=\"data row23 col7\" >81</td>\n                        <td id=\"T_cc70f_row23_col8\" class=\"data row23 col8\" >40</td>\n                        <td id=\"T_cc70f_row23_col9\" class=\"data row23 col9\" >0</td>\n                        <td id=\"T_cc70f_row23_col10\" class=\"data row23 col10\" >0</td>\n            </tr>\n    </tbody></table>"},"metadata":{}}]},{"cell_type":"code","source":"sample_building = '5a0546857ecc773753327266'\nsample_floor = 'B1'\nsample_path = f'{PATH}train/{sample_building}/{sample_floor}/5e15731fa280850006f3d013.txt'\nprint(f\"Sample path: {sample_path}\")\n\npath = read_data_file(sample_path)\n\nibeacon_df = to_frame(path.ibeacon,'ibeacon')\ndisplay(ibeacon_df.head().style.set_caption('DataFrame Head of iBecon Data'))\ndisplay(ibeacon_df.id.value_counts())\n\nwaypoint_df = to_frame(path.waypoint,'waypoint')\ndisplay(waypoint_df.head().style.set_caption('DataFrame Head of Waypoint Data'))","metadata":{"execution":{"iopub.status.busy":"2023-05-04T10:14:32.29279Z","iopub.execute_input":"2023-05-04T10:14:32.293137Z","iopub.status.idle":"2023-05-04T10:14:32.364473Z","shell.execute_reply.started":"2023-05-04T10:14:32.293103Z","shell.execute_reply":"2023-05-04T10:14:32.363434Z"},"trusted":true},"execution_count":17,"outputs":[{"name":"stdout","text":"Sample path: ../input/indoor-location-navigation/train/5a0546857ecc773753327266/B1/5e15731fa280850006f3d013.txt\n","output_type":"stream"},{"output_type":"display_data","data":{"text/plain":"<pandas.io.formats.style.Styler at 0x71257c05d550>","text/html":"<style  type=\"text/css\" >\n</style><table id=\"T_73f56_\" ><caption>DataFrame Head of iBecon Data</caption><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >timestamp</th>        <th class=\"col_heading level0 col1\" >id</th>        <th class=\"col_heading level0 col2\" >rssi</th>        <th class=\"col_heading level0 col3\" >distance</th>    </tr></thead><tbody>\n                <tr>\n                        <th id=\"T_73f56_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n                        <td id=\"T_73f56_row0_col0\" class=\"data row0 col0\" >1578462996867</td>\n                        <td id=\"T_73f56_row0_col1\" class=\"data row0 col1\" >d9c573b719a17da4836208fc436f87b5ca1aa877_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c</td>\n                        <td id=\"T_73f56_row0_col2\" class=\"data row0 col2\" >-76</td>\n                        <td id=\"T_73f56_row0_col3\" class=\"data row0 col3\" >9.586529272742789</td>\n            </tr>\n            <tr>\n                        <th id=\"T_73f56_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n                        <td id=\"T_73f56_row1_col0\" class=\"data row1 col0\" >1578462996902</td>\n                        <td id=\"T_73f56_row1_col1\" class=\"data row1 col1\" >d9c573b719a17da4836208fc436f87b5ca1aa877_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c</td>\n                        <td id=\"T_73f56_row1_col2\" class=\"data row1 col2\" >-57</td>\n                        <td id=\"T_73f56_row1_col3\" class=\"data row1 col3\" >1.1423077651217026</td>\n            </tr>\n            <tr>\n                        <th id=\"T_73f56_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n                        <td id=\"T_73f56_row2_col0\" class=\"data row2 col0\" >1578462996927</td>\n                        <td id=\"T_73f56_row2_col1\" class=\"data row2 col1\" >d9c573b719a17da4836208fc436f87b5ca1aa877_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c</td>\n                        <td id=\"T_73f56_row2_col2\" class=\"data row2 col2\" >-59</td>\n                        <td id=\"T_73f56_row2_col3\" class=\"data row2 col3\" >1.4564100630548413</td>\n            </tr>\n            <tr>\n                        <th id=\"T_73f56_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n                        <td id=\"T_73f56_row3_col0\" class=\"data row3 col0\" >1578462996956</td>\n                        <td id=\"T_73f56_row3_col1\" class=\"data row3 col1\" >d9c573b719a17da4836208fc436f87b5ca1aa877_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c</td>\n                        <td id=\"T_73f56_row3_col2\" class=\"data row3 col2\" >-75</td>\n                        <td id=\"T_73f56_row3_col3\" class=\"data row3 col3\" >8.66670689767102</td>\n            </tr>\n            <tr>\n                        <th id=\"T_73f56_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n                        <td id=\"T_73f56_row4_col0\" class=\"data row4 col0\" >1578462996976</td>\n                        <td id=\"T_73f56_row4_col1\" class=\"data row4 col1\" >d9c573b719a17da4836208fc436f87b5ca1aa877_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c</td>\n                        <td id=\"T_73f56_row4_col2\" class=\"data row4 col2\" >-65</td>\n                        <td id=\"T_73f56_row4_col3\" class=\"data row4 col3\" >2.9497464947527825</td>\n            </tr>\n    </tbody></table>"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"d9c573b719a17da4836208fc436f87b5ca1aa877_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c    1517\n89cb11b04122cef23388b0da06bd426c1f48a9b5_cfc84f0752adc96b489f71195d91a946c5f6d3e8_8159618423dfa22f1ca0b62543e2f18eef630ce8       5\n84a300930c206c290ea71e401ca4d367c9fa6c42_5a5d57613a91b0a255748360c5ecda5b0e8333ae_784b9c7f636b8531a840a6b8ea35fabe7810a71e       4\n4e9d3569a79dcbd102831d1bd587aa4e868ae797_83a601a311a42f941195a9ab7f5cd9904b033a3e_107e306771fda93b08f2549d16eb38ec460fe4fd       1\n4e9d3569a79dcbd102831d1bd587aa4e868ae797_bc8bba7fade7c97ce3281781d5e27f03d4595954_8b20d68173f03970a1e796bb06b2781cecffb78d       1\nName: id, dtype: int64"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"<pandas.io.formats.style.Styler at 0x712588a90fd0>","text/html":"<style  type=\"text/css\" >\n</style><table id=\"T_f7acb_\" ><caption>DataFrame Head of Waypoint Data</caption><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >timestamp</th>        <th class=\"col_heading level0 col1\" >x</th>        <th class=\"col_heading level0 col2\" >y</th>    </tr></thead><tbody>\n                <tr>\n                        <th id=\"T_f7acb_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n                        <td id=\"T_f7acb_row0_col0\" class=\"data row0 col0\" >1578462996804</td>\n                        <td id=\"T_f7acb_row0_col1\" class=\"data row0 col1\" >223.098420</td>\n                        <td id=\"T_f7acb_row0_col2\" class=\"data row0 col2\" >154.775190</td>\n            </tr>\n            <tr>\n                        <th id=\"T_f7acb_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n                        <td id=\"T_f7acb_row1_col0\" class=\"data row1 col0\" >1578463005599</td>\n                        <td id=\"T_f7acb_row1_col1\" class=\"data row1 col1\" >216.167790</td>\n                        <td id=\"T_f7acb_row1_col2\" class=\"data row1 col2\" >155.884280</td>\n            </tr>\n            <tr>\n                        <th id=\"T_f7acb_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n                        <td id=\"T_f7acb_row2_col0\" class=\"data row2 col0\" >1578463022282</td>\n                        <td id=\"T_f7acb_row2_col1\" class=\"data row2 col1\" >217.689590</td>\n                        <td id=\"T_f7acb_row2_col2\" class=\"data row2 col2\" >159.701450</td>\n            </tr>\n            <tr>\n                        <th id=\"T_f7acb_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n                        <td id=\"T_f7acb_row3_col0\" class=\"data row3 col0\" >1578463031506</td>\n                        <td id=\"T_f7acb_row3_col1\" class=\"data row3 col1\" >218.094510</td>\n                        <td id=\"T_f7acb_row3_col2\" class=\"data row3 col2\" >165.202620</td>\n            </tr>\n            <tr>\n                        <th id=\"T_f7acb_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n                        <td id=\"T_f7acb_row4_col0\" class=\"data row4 col0\" >1578463041608</td>\n                        <td id=\"T_f7acb_row4_col1\" class=\"data row4 col1\" >225.084060</td>\n                        <td id=\"T_f7acb_row4_col2\" class=\"data row4 col2\" >165.771700</td>\n            </tr>\n    </tbody></table>"},"metadata":{}}]},{"cell_type":"code","source":"# Get iBeacon timestamps\nibeacon_df_grouped = ibeacon_df.groupby('timestamp')['id'].unique().to_frame().reset_index(drop=False)\ndisplay(ibeacon_df_grouped.head().style.set_caption(\"iBeacon Timestamps\"))\n\n# Combine with waypoint data\nwaypoint_ble_combined = pd.concat([ibeacon_df_grouped, waypoint_df])\nwaypoint_ble_combined = waypoint_ble_combined.sort_values(by='timestamp').reset_index(drop=True)\n\ndisplay(waypoint_ble_combined.head().style.set_caption('Combined Dataframe of Waypoint and iBeacon Timestamps Sorted by Time'))\n\nfig, ax = plt.subplots(nrows=2, ncols=1, figsize=(14, 6))\nsns.lineplot(x=waypoint_ble_combined.timestamp, y=waypoint_ble_combined.x, marker='o', ax=ax[0], label = 'before interpolation', color='orange')\nsns.lineplot(x=waypoint_ble_combined.timestamp, y=waypoint_ble_combined.y, marker='o', ax=ax[1], label = 'before interpolation', color='orange')\n\n# Interpolate waypoint\nwaypoint_ble_combined.x = waypoint_ble_combined.x.interpolate()\nwaypoint_ble_combined.y = waypoint_ble_combined.y.interpolate()\n\nsns.lineplot(x=waypoint_ble_combined.timestamp, y=waypoint_ble_combined.x, marker='o', ax=ax[0], label = 'after interpolation', color='blue')\nsns.lineplot(x=waypoint_ble_combined.timestamp, y=waypoint_ble_combined.y, marker='o', ax=ax[1], label = 'afte interpolationr', color='blue')\n\nplt.show()\n\ndisplay(waypoint_ble_combined.head().style.set_caption(\"Lookup Table with Interpolated Waypoint Data for iBeacon Timestamps\"))","metadata":{"execution":{"iopub.status.busy":"2023-05-04T10:14:32.365977Z","iopub.execute_input":"2023-05-04T10:14:32.366317Z","iopub.status.idle":"2023-05-04T10:14:33.217812Z","shell.execute_reply.started":"2023-05-04T10:14:32.366281Z","shell.execute_reply":"2023-05-04T10:14:33.216752Z"},"trusted":true},"execution_count":18,"outputs":[{"output_type":"display_data","data":{"text/plain":"<pandas.io.formats.style.Styler at 0x71257c06c610>","text/html":"<style  type=\"text/css\" >\n</style><table id=\"T_6e0ea_\" ><caption>iBeacon Timestamps</caption><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >timestamp</th>        <th class=\"col_heading level0 col1\" >id</th>    </tr></thead><tbody>\n                <tr>\n                        <th id=\"T_6e0ea_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n                        <td id=\"T_6e0ea_row0_col0\" class=\"data row0 col0\" >1578462996867</td>\n                        <td id=\"T_6e0ea_row0_col1\" class=\"data row0 col1\" >['d9c573b719a17da4836208fc436f87b5ca1aa877_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c']</td>\n            </tr>\n            <tr>\n                        <th id=\"T_6e0ea_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n                        <td id=\"T_6e0ea_row1_col0\" class=\"data row1 col0\" >1578462996902</td>\n                        <td id=\"T_6e0ea_row1_col1\" class=\"data row1 col1\" >['d9c573b719a17da4836208fc436f87b5ca1aa877_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c']</td>\n            </tr>\n            <tr>\n                        <th id=\"T_6e0ea_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n                        <td id=\"T_6e0ea_row2_col0\" class=\"data row2 col0\" >1578462996927</td>\n                        <td id=\"T_6e0ea_row2_col1\" class=\"data row2 col1\" >['d9c573b719a17da4836208fc436f87b5ca1aa877_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c']</td>\n            </tr>\n            <tr>\n                        <th id=\"T_6e0ea_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n                        <td id=\"T_6e0ea_row3_col0\" class=\"data row3 col0\" >1578462996956</td>\n                        <td id=\"T_6e0ea_row3_col1\" class=\"data row3 col1\" >['d9c573b719a17da4836208fc436f87b5ca1aa877_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c']</td>\n            </tr>\n            <tr>\n                        <th id=\"T_6e0ea_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n                        <td id=\"T_6e0ea_row4_col0\" class=\"data row4 col0\" >1578462996976</td>\n                        <td id=\"T_6e0ea_row4_col1\" class=\"data row4 col1\" >['d9c573b719a17da4836208fc436f87b5ca1aa877_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c']</td>\n            </tr>\n    </tbody></table>"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"<pandas.io.formats.style.Styler at 0x71257c709610>","text/html":"<style  type=\"text/css\" >\n</style><table id=\"T_335d4_\" ><caption>Combined Dataframe of Waypoint and iBeacon Timestamps Sorted by Time</caption><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >timestamp</th>        <th class=\"col_heading level0 col1\" >id</th>        <th class=\"col_heading level0 col2\" >x</th>        <th class=\"col_heading level0 col3\" >y</th>    </tr></thead><tbody>\n                <tr>\n                        <th id=\"T_335d4_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n                        <td id=\"T_335d4_row0_col0\" class=\"data row0 col0\" >1578462996804</td>\n                        <td id=\"T_335d4_row0_col1\" class=\"data row0 col1\" >nan</td>\n                        <td id=\"T_335d4_row0_col2\" class=\"data row0 col2\" >223.098420</td>\n                        <td id=\"T_335d4_row0_col3\" class=\"data row0 col3\" >154.775190</td>\n            </tr>\n            <tr>\n                        <th id=\"T_335d4_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n                        <td id=\"T_335d4_row1_col0\" class=\"data row1 col0\" >1578462996867</td>\n                        <td id=\"T_335d4_row1_col1\" class=\"data row1 col1\" >['d9c573b719a17da4836208fc436f87b5ca1aa877_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c']</td>\n                        <td id=\"T_335d4_row1_col2\" class=\"data row1 col2\" >nan</td>\n                        <td id=\"T_335d4_row1_col3\" class=\"data row1 col3\" >nan</td>\n            </tr>\n            <tr>\n                        <th id=\"T_335d4_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n                        <td id=\"T_335d4_row2_col0\" class=\"data row2 col0\" >1578462996902</td>\n                        <td id=\"T_335d4_row2_col1\" class=\"data row2 col1\" >['d9c573b719a17da4836208fc436f87b5ca1aa877_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c']</td>\n                        <td id=\"T_335d4_row2_col2\" class=\"data row2 col2\" >nan</td>\n                        <td id=\"T_335d4_row2_col3\" class=\"data row2 col3\" >nan</td>\n            </tr>\n            <tr>\n                        <th id=\"T_335d4_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n                        <td id=\"T_335d4_row3_col0\" class=\"data row3 col0\" >1578462996927</td>\n                        <td id=\"T_335d4_row3_col1\" class=\"data row3 col1\" >['d9c573b719a17da4836208fc436f87b5ca1aa877_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c']</td>\n                        <td id=\"T_335d4_row3_col2\" class=\"data row3 col2\" >nan</td>\n                        <td id=\"T_335d4_row3_col3\" class=\"data row3 col3\" >nan</td>\n            </tr>\n            <tr>\n                        <th id=\"T_335d4_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n                        <td id=\"T_335d4_row4_col0\" class=\"data row4 col0\" >1578462996956</td>\n                        <td id=\"T_335d4_row4_col1\" class=\"data row4 col1\" >['d9c573b719a17da4836208fc436f87b5ca1aa877_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c']</td>\n                        <td id=\"T_335d4_row4_col2\" class=\"data row4 col2\" >nan</td>\n                        <td id=\"T_335d4_row4_col3\" class=\"data row4 col3\" >nan</td>\n            </tr>\n    </tbody></table>"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"<Figure size 1008x432 with 2 Axes>","image/png":"iVBORw0KGgoAAAANSUhEUgAAA0MAAAFzCAYAAAD8JdJrAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/Il7ecAAAACXBIWXMAAAsTAAALEwEAmpwYAADQyElEQVR4nOydd5hU1fnHP2fKVtpSdmEpSxGVKigo0hFbbFhQYiyAiUpsaEwkatRoNMafUewxJgokIUpEEQuxYCiCoIKiiDQpS1nYXViWsnXK+f3xzt07W+jb9/08zzwzc+eWc2fO3Hu+523GWouiKIqiKIqiKEpDw1PTDVAURVEURVEURakJVAwpiqIoiqIoitIgUTGkKIqiKIqiKEqDRMWQoiiKoiiKoigNEhVDiqIoiqIoiqI0SFQMKYqiKIqiKIrSIPHVdAOOh5YtW9qOHTvWdDMURVEURVEURanFLF++fJe1tlXZ5XVaDHXs2JFly5bVdDMURVEURVEURanFGGPSK1qubnKKoiiKoiiKojRI6rRlSFEURVGqi3AoTFZmkKJiD7ExYZJTfHi8OqeoKIpSl9GruKIoiqIchnAozMqVlv/MjCFsfRzIj2HrNkNxcbimm6YoiqIcB2oZUhRFUZTDkJlpWbDQy2WXQTAoy8JhQ2YmtG4Nfn/Ntk9RGiKBQIBt27ZRWFhY001RahFxcXG0a9cO/xFemFUMKYqiKMohKC6G/AIPV18N+/aBMeD1QigExhgOHICkpJpupaI0PLZt20bjxo3p2LEjxpiabo5SC7DWsnv3brZt20anTp2OaBt1k1MURVGUg1BcDBkZ4PEYrIXCQghHecZZC3l5pZcpilI9FBYW0qJFCxVCSgnGGFq0aHFU1kIVQ4qiKIpSAcGgCKGiIhE7BQViETJGRJBjHQoGYf/+mm6tojRMVAgpZTnaPqFiSFEURVEqwBFCoRC8/LKInubNK7YO7d+v1iFFaWhs3ryZnj17HtU2a9asoU+fPvTt25cNGzZUansuuOACcnNzD7nO1KlTycjIqNTjVsT8+fO56KKLDrnOihUrmDNnTsn7d999lz/96U9V3bRyqBhSFEVRlDKEwxAIiBCaMgXGjAGPR61DilKnsWEo2Al56fJsq38G45133mHUqFF88803dOnS5bDrW2sJH+FMy5w5c2jWrNkh1zkWMRR0ssZUMmXF0CWXXMJvf/vbKjnWoVAxpCiKoihlyMwEn88VQjNmyPto69Du3bB6NezdK+Jpzx7YuBF27lQrkaLUOmwYclfCxwNgdkd5zl153IIoGAwyduxYevfuzejRo8nPzwdg+fLlDBs2jNNOO43zzjuPHTt2MGfOHJ555hn+/ve/M2LECACefvppevbsSc+ePXnmmWcAsTh169aNW265hVNPPZWtW7fy5JNP0r9/f3r37s1DDz1UYVs6duzIrl27Sra/8cYb6dGjB+eeey4FBQXMnDmTZcuWcc0119CnTx8KCgoqbCfA8OHDue+++xg2bBjPPvss48aNY8KECQwZMoQTTzyR999/H5C4rfHjx9OrVy/69u3LvHnzyrXryy+/ZODAgfTt25eBAweydu1aiouLefDBB5kxYwZ9+vRhxowZTJ06ldtuuw2A9PR0Ro4cSe/evRk5ciRbtmwBYNy4cdxxxx0MHDiQzp07M3PmzOP6/UDFkKIoiqKUIz/fEhfnCqHx48Uq5PfL8549cOAAvPKKWIbS0+HOO+HbbyE3F7ZuhQ0b5LmKJlUVRYlm+Z0wd/jBH5nzYOEosQqBPC8cJcsPts3yOw972LVr13LTTTfx3Xff0aRJE1566SUCgQC33347M2fOZPny5dxwww3cf//9XHDBBUyYMIG77rqLefPmsXz5cqZMmcIXX3zB0qVL+dvf/sY333xTst/rr7+eb775hrVr17J+/Xq+/PJLVqxYwfLly1m4cOEh27V+/XpuvfVWVq1aRbNmzXjrrbcYPXo0/fr1Y/r06axYsQKfz1dhOx1yc3NZsGABd999NyAibcGCBXzwwQdMmDCBwsJCXnzxRQBWrlzJ66+/ztixY8slLzj55JNZuHAh33zzDY888gj33XcfMTExPPLII4wZM4YVK1YwZsyYUtvcdtttXH/99Xz33Xdcc8013HHHHSWf7dixg0WLFvH+++9XiiVJU2sriqIoShTB4kK83lgyMqBZM7jhBnGRC4VEDOXnQ3IynHsuTJ4Mu3aJKLr9dvjwQ2jfHs4/X+oP/eUvYiUKBiEmBtq0EQuTotQVgsEw2dlQVGQIhSAhAVJSDJ66Np3ua+QKIYe8dFl+HLRv355BgwYBcO211/Lcc89x/vnn8/3333POOecAEAqFaNOmTbltFy1axGWXXUZiYiIAl19+OZ999hmXXHIJaWlpDBgwAICPP/6Yjz/+mL59+wJw4MAB1q9fz9ChQw/ark6dOtGnTx8ATjvtNDZv3lxunbVr1x6ynWUFylVXXYXH46Fr16507tyZNWvWsGjRIm6//XZARE9aWhrr1q0rtd3evXsZO3Ys69evxxhDIBA4aLsdlixZwttvvw3Addddxz333FPy2aWXXorH46F79+5kZmYedl+HQy/JiqIoiuJgLRk7vPj9hmBQEihED/oKC0UQBQJiDWreXJaPHQs//znMmQMXXCBC6O9/l/UnTpRHu3ayTUICtGolIqqoCGJjRVzVucGlUu8JBMKsX2/IzDTMmSMWUvlfWNq2NbWr2PBpzxz684KdkJhWWhAlpsnj7PnHfNiymcuMMVhr6dGjB0uWLDnkttbag37mCCRnvXvvvZebb775iNsVGxtb8trr9VJQUFDh8Q/Vzug2wMHP9XA88MADjBgxglmzZrF582aGDx9+BGdQmuhjR5/bkRz/cOilV1EURVEihDf8g0DQR0aGiJY9eyRJgrUiWpKSIDVVXqelQU6O1BlKThah4/XK86RJ8vrRR+G++2Tf55wDJ5wAv/wlfPcdTJgAX3+tbnVK7SQchowMw+bNIoRuvlkShwAUFBi2bKljfTUuGYbOFvED8jx0tiw/DrZs2VIiJl5//XUGDx7MSSedRHZ2dsnyQCDAqlWrym07dOhQ3nnnHfLz88nLy2PWrFkMGTKk3HrnnXcer732GgcOHABg+/btZGVlHVN7GzduzP5ItpcjbafDm2++STgcZsOGDWzcuJGTTjqJoUOHMn36dADWrVvHli1bOOmkk0ptt3fvXtq2bQtIAoeK2lKWgQMH8sYbbwAwffp0Bg8efEzneySoGFIURVEUgO0fkGkH4/MZHntMBFCLFvJsrQwEmzQRN7d27WDWLJg2DVq2lEdamrjSpaWJxcjjEYvRrl0yo54emZAeOxYeeUTc6j7/XGKPZs+W9YuKYPt2eVaUmiQzEwIBQ2Ii3HGH9Mndu+V/4Dz27q3pVh4FxgPNesG5S2HUZnlu1kuWHwfdunVj2rRp9O7dm5ycHH75y18SExPDzJkzmTRpEqeccgp9+vTh888/L7ftqaeeyrhx4zj99NM544wz+MUvflHiChfNueeey89+9jPOPPNMevXqxejRow8qIg6HkwihT58+hEKhI2qnw0knncSwYcP4yU9+wssvv0xcXBy33HILoVCIXr16MWbMGKZOnVrKcgNwzz33cO+99zJo0CBCoVDJ8hEjRvDDDz+UJFCI5rnnnmPKlCn07t2bf/7znzz77LPHdL5HgqkM81JN0a9fP7ts2bKaboaiKIpS19m3Fj46nQ2n5tKokWHrVrHqjB0rVp+UFLEKtWjhbhIOQ1aWPPt8ImL+/W9JupCVBZ06ieUoGIRor5D582X5XXeJW93cuTBoECxeDBdf7MYmpaRAXFx1fxGKIn02PV369apV0KeP9O+EBBHtHo/0+7g4Ef815eK5evVqunXrVjMHb2CMGzeOiy66iNGjR9d0U46IivqGMWa5tbZf2XU1ZkhRFEVp2BTvhYWjCKbdgNdLSeKExx93B33gugg5eDwSG+TQsqUkSPB4oG2qpaBQAs3XrZMBo2MZyskp7VZ38cXw3ntw4YVu7aJAQFJ0p6ZK4gVFqS7EPU76occjfbe4WIRRQYGbXdGpt7V/PzRtWtOtVpRjp8q0vDGmvTFmnjFmtTFmlTFmYmT5k8aYNcaY74wxs4wxzcps18EYc8AY8+uqapuiKIqiAFJj5PNrCftasrXV08TEuIkTovF6RSAdCkccJSdDm1RDx/j/0TJxK507W6ZMkUEliGtd69auW10oBFddJckWousTWetanhSlOnAsQoGAiPB9+yQ+LhQSy+iMGTBunAh6Y6TP5uTI+kr9ZurUqXXGKnS0VKVhMwjcba3tBgwAbjXGdAc+AXpaa3sD64B7y2w3GfhvFbZLURRFUYTvHoSM98ns/gFFRQavt+LECU2aHL0rkKfNSJrtm82JmwfSs8s2FiywbNgAL78MHTpIzNGUKeISV1Qkx9u7V6xEXq8rlPLyqubUFSWaYFBc4QoLxQq0b59r+YmJkc8nTJDU8klJ0jcdQbRtm1XRrtRZqsxNzlq7A9gReb3fGLMaaGut/ThqtaVAicw0xlwKbAT00q8oiqJULVtmwqrHoMvPyQ80weMR96DGjUsnTgiHy7vIHTEn3YancAetFrWHng9C74dLPjrlFHGri4+XJAvx8fDxx3DZZW6WrnBYss3FxVG70hgr9QpHCAUCbkxQKCQTAfHx8j/w+934OBARlJQk2xpj2L/f0rTpsf5RFKXmqJaQN2NMR6Av8EWZj24gYgUyxiQCk4CHURRFUZSqZM93sGQswR6Ps6PD3/B6DVlZHLOL3CHp/Sh0Hg/fPwLrXy5Z7LjVNW3q1i66+mqZic/NlUFnKCQD0Pz84zi+ohyCcNgVQl6vvH/uORFCjjW0uBgSE+Wz5Egm6lAIXnxRPisqEmtqcVFdyrWtKEKViyFjTCPgLeBOa+2+qOX3I6500yOLHgYmW2sPHGZ/NxljlhljlmVnZ1dVsxVFUZT6StFuwt8+TO7Q9XwbnMQ33xhiYmTwB6Vd5OLioH3748yWZQyc/gqkXgjLboWts8qtkprqCqLolN4gA9B9++pYTRelThAIlBZCjiV0zBj461/F+hMIiDBv0kRcSB3rUfn4IcP2DC+BouKaPi1FOSqqVAwZY/yIEJpurX07avlY4CLgGuvm9j4D+D9jzGbgTuA+Y8xtZfdprX3FWtvPWtuvVatWVdl8RVEUpb4RDhL+9vesT/4HewpTueIKqaPixAoVFcnMdzgscRJOXaHjxuODwTOgeX9YfDVkfVbqY59PrETFxVKjKDu7dOyQWoeUyqa4WIr/OvFq1kq2OJD3t95KySSBk9UwJUX6o8dzsPghw7YMP+FijXZ488036datGyNGjGD+/PmHrN9zJGRkZBxRAoM//vGPx3WcI+X3v/89f/7znw+5zjvvvMMPP/xQ8v7BBx9k7ty5Vd20o6Yqs8kZ4FVgtbX26ajl5yPucJdYa0su7dbaIdbajtbajsAzwB+ttS9UVfsURVGUBsg3vyGzxSQ2bE6kuFgyZ+XkSKxQbGwlxgpVhC8Rhr0PjTrCgksg9/tSHztZu4qLpeZQ2VTbOTnymaIcL4EA7NgBV1xRXggVF7uxQH6/xLU56d09Hpk0CIfltc/nWlQdQiFDblYOFGZV70kdAeGwpKxPT5fnqkz68Oqrr/LSSy8xb968YxJDwTKm4NTUVGbOnHnY7Y5FDEUXQq1MyoqhRx55hLPPPrtKjnU8VKVlaBBwHXCWMWZF5HEB8ALQGPgksuzlQ+5FURRFUSqDjdMIFh0gn7YkJorwSEuDJ56QwWGlxwpVRFxLGPER+OJh3vmQt6XUx44bkqbaVqqKQAC2bZPn9HTpT0cihBycYsDhsFiMKiIY0xY+GQJ56VV7MkdBOAwrV8KAAdCxozyvXHn8/6dLL72U0047jR49evDKK68AMuhftGgREyZM4Morr+Tll19m8uTJ9OnTh88++4zs7GyuuOIK+vfvT//+/Vm8eDEg1pabbrqJc889l+uvv77UcTZv3kzPnj0BSXN9+eWXc/7559O1a1fuueceAH77299SUFBAnz59uOaaawD417/+xemnn06fPn24+eabS4RPo0aNePDBBznjjDNYsmQJHTt2ZNKkSZx++umcfvrp/PjjjwCkp6czcuRIevfuzciRI9mypfQ1C+Bvf/sb/fv355RTTuGKK64gPz+fzz//nHfffZff/OY39OnThw0bNjBu3LgSQffpp5/St29fevXqxQ033EBR5ALcsWNHHnroIU499VR69erFmjVrju8HOgKqTAxZaxdZa421tre1tk/kMcdae4K1tn3UsgkVbPt7a+2hbW+KoiiKcqTs+pLw+tfY2uaveL2GvDxJaz1zpswQ33GHxArFx8sgMClJhNJxxQodjMQ0GP4hBPeLICrKKfkoJaV0qu3i4tLJFEIhOHDIyFpFOThOQdWiIulnaWngGBKORAiBW4g1Lk4sp7m58Nprrvuczwd+v4HCTPhkMOxdXS3nduedMHz4wR/z5sGoUW7x4/R0eT9v3sG3ufPOwx/3tddeY/ny5SxbtoznnnuO3bt38+CDD9KvXz+mT5/Om2++yYQJE7jrrrtYsWIFQ4YMYeLEidx111189dVXvPXWW/ziF78o2d/y5cuZPXs2//73vw953BUrVjBjxgxWrlzJjBkz2Lp1K3/605+Ij49nxYoVTJ8+ndWrVzNjxgwWL17MihUr8Hq9TJ8uofp5eXn07NmTL774gsGDBwPQpEkTvvzyS2677TbujJz8bbfdxvXXX893333HNddcwx133FGuLZdffjlfffUV3377Ld26dePVV19l4MCBXHLJJTz55JOsWLGCLl26lKxfWFjIuHHjStofDAb5y1/+UvJ5y5Yt+frrr/nlL395WFe8yqBasskpiqIoSo1RsAM+u4zMLv+gqMiD3w+tWsEFF0gQ+Jw58I9/QLt20LYtdO4s8TtVIoQcknrD0NlwYAMsuAiC4jXu8cggNBiUeKWKkins3avJFJRjY+dONwFCTAy89RZ8+ik8/bSIm1BIlrdtW7EQcnD6aUGB/IfGjJHJhVBIhNbevYbin2yEcADmDoHdX1XfSR6ERo1cIeSQni7Lj4fnnnuOU045hQEDBrB161bWr19/2G3mzp3LbbfdRp8+fbjkkkvYt28f+/fvB+CSSy4hPj7+sPsYOXIkTZs2JS4uju7du5Ne9uQQ68vy5cvp378/ffr04dNPP2Xjxo0AeL1errjiilLrX3311SXPS5YsAWDJkiX87Gc/A+C6665j0aJF5Y7z/fffM2TIEHr16sX06dNZtWrVIdu+du1aOnXqxIknngjA2LFjWbhwYcnnl19+OQCnnXYamzdvPux3cbxUWZ0hRVEURalxQkXw2RVQnEu+6YDHI65mTrKEG290a6c0a1bNtXxShsPA6bDoKlj8UxjyNnh8xMRIO5xkChkZ8Ic/wP33i4grKpJlqamVlNxBaRAEAiJefD7XTa5VK7GMhEJiifT5ROQcSb/yeESUjx8vQsjJLJecLC6e27Ob0+68H/DP7QefngVD34HWI6vs/J555tCf79wpFq1ozZCWJo/584/tmPPnz2fu3LksWbKEhIQEhg8fTmFh4WG3C4fDLFmypELRk5iYeETHjo0K1vJ6veVijACstYwdO5bHH3+83GdxcXF4vd5Sy0xUkKQ5SMBkRcvHjRvHO++8wymnnMLUqVOZf5gv1M2dVjHOuR3svCobtQwpiqIo9RNrYdltsGsJxed+X6qWEJROlmCMWGKqnQ6jod8LsP09+GpCiQkoNdVNpvCHP8Cjj4oLnTOGCIUkAF4tRMrhCIclO2FGhgiePXvEHS4/H3bvdpOEOHWvjkZg+/2yz4ozy8G2rOaEz/kCEjvC/AsqTCtfXSQnw+zZIn5AnmfPdusmHQt79+4lKSmJhIQE1qxZw9KlSytcr3HjxiWWH4Bzzz2XF15wc4StWLHi2BtRBr/fTyAQAMR6NHPmTLKyJJlFTk5OhRYkhxkzZpQ8n3nmmQAMHDiQN954A4Dp06eXuNRFs3//ftq0aUMgEChxw4Py5+1w8skns3nz5pK4pH/+858MGzbsWE63UlAxpCiKotRP1v8FNvyd4JlvkbG3U9XWEjoeTrwFetwPG16FlQ8BMiB1kimMHSvC7cCB8sVY8zSDsXIIgkFYtw42b5bXPl/pyYBmzdwYobZtj94ymprqFmf1+cTyFB0/ZAzsD7SCsxdA89Ng0WjY8Fpln+YR4fFAr16wdKl8H0uXyvvj+d+ff/75BINBevfuzQMPPMCAAQMqXO/iiy9m1qxZJQkUnnvuOZYtW0bv3r3p3r07L79cebnEbrrpJnr37s0111xD9+7defTRRzn33HPp3bs355xzDjt27DjotkVFRZxxxhk8++yzTJ48GRA3wClTptC7d2/++c9/8uyzz5bb7g9/+ANnnHEG55xzDieffHLJ8p/+9Kc8+eST9O3blw0bNpQsj4uLY8qUKVx55ZX06tULj8fDhAnlUghUG+ZwpqraTL9+/eyyZctquhmKoihKbSNrIXw6Etqcx5bO71FQYEhIkOKle/aUriXUtKkMDGsUa+GLX8DG16D/S9D1l4TDsHWruDR16iTtbtzYTaRwtG5NSsMiHBaXsNWR/AU9eogl5OyzXXe2cFjEzOFihA5FcbH0U68XXnxR4odmzBBrkccjx0hIgJSWBXg+uxR2fgx9n4Ruvz7uc1y9ejXdunU77v0oksVt2bJltGzZsqabUilU1DeMMcuttf3KrquWoUogHAqzM6OY9M1BdmYUEw5p3lNFUZQaI28LfDYaGneBgdMJBAyhEDz3XPlaQtaKGKpxjIHT/wqpF8FXt8LWt0uC1FNS3PghtQ4pR0I4LG6URUWQmCiPhAQYNAjmzhXx4/FI9sQWLY5dCIFsm5Dgxg/NmOHGD23fLv10715I3xZPcMgH0OEq+OY3sOJe1+9TUWoQFUPHSTgUZuXKMAMGxtCxk48BA2NYuTKsgkhRFKUmCObDwkshXARDZxP0NMXnkwDvMWPgr391Y4Ti48U9rtZYVTw+GDwDWpwBi38GmQuIiYEOHWRA6Yi3stnl9u3T2CHFxakfVFgogicvTx6vvy7WoIsvdi2LjiA6XpyU8F6vCKI9e9y23HOPG9+WvsXHji5vEO79BPzwJ/jyZghXTcFP5ejYvHlzvbEKHS0qho6TrMwgD/3ex+TJko1k8mR46Pc+sjL1zqQoilKtOK5me1bAwH9Dk5PIyJDBnuO6M368iB/HPe54ZsSrBF8CDH8fGnWChaMgd2XJzLtjHcrOhrvukgGnMW52ORVESlGRuFUWFoowycqSjHGtWkl8zKyo/AUejytijhePx40f8npFdGVnw7PPwn33SfrqzEzHSmRIT/wNwTPfhg1/k0yKoaLDH0RRqggVQ8dJ2Hq4/XaYNs31wX3iCfB49atVFEWpVlb/GdJfh1MehbYXAjIzXVQkgeI33CADtVBIhEMk4VLtI7YFjPgQfIlSlDUvnZQUzS6nHJpAwHWNcxIaOAlDiook7uzii8WamJgoVtHKnAzw+11B5Bxj7Fjps077/vY3+ay42LDNXEZgxFLYOhMWXAyBY6smXJdj35Wq4Wj7hI7Yj5NQyMPzz8vMR2ys3Ig2bICcPV7C6imnKIpSPWR8CN/+FjpcCd3vBdz6Qc89V351Y8TKUmtJTBNBFMyDeefjCewul10uOxvee88VeOGwpDdWGiYZGa4QCofh7bdFkBQVubV/QERQmzZVkz0xJsYVRHl5clzHSjRnDtx8s5vKu6AAtuSfQXDEIsj8FP53NhTtPqrjxcXFsXv3bhVESgnWWnbv3k1cXNwRb6PZ5I6T9HTLxo3yzx4/Xvx009LEP71nTzFNK4qiKFXIvvXwUX8REOd+LhYVZJbc64UtWyp2kUtKquF2HwmZC2DeeZDUl/BZ89iaEce2bdCunWQGGzQIFi9240D8frEYHcU4QKkHOBndiorESyUpScTG55+X7hutW7vWoqokEJCJYWPEepmZCZ07y/Ojj8LEidKHjZG+mupdgGfBeZL0ZMTHkND2CI8TYNu2bUdU6FRpOMTFxdGuXTv8ZXxAD5ZNTsXQcbJzJ+zfD7/5jczWNW8uF6Jp08RX1inupSiKolQBgX3w0QAoyoLzvpJYmwgbNkiswv79MjhzZsz9fimwejzFFquVLW/Boish9UKKz5zFlq2S8cHrFcvQhRfKoNIYGfT6fDI7X+vioZQqwUnBDvDCC5LJLT9f+kFSkltHKDW1cuKDjqZdubmSSW71akntPXGieNIkJsr/0flPxsVBWuPleP43IuIm+jE06Vp9jVUaBJpau4pITpY/seMmB/J8333g8dRdoakoilLrsWH4/DrYvw4G/aeUEAqHRSxkZFS8aa3JIHckdLgC+r8IGe8T883NdOhg8ftF+Fx1lbg/FRTIDLzXK4NfjR9qOGRmitiPiYGf/hSmTpWJ2aQk6SNO1sTqFEIgQqd5czl2587SH8eOlXaUtU6FQpDrOQ3OngfBAzB3sCRCUZRqQMXQceIEKTo+sA7GgM+r6SIVRVGqjJUPw/Z34dSnofVZpT7KzJTBYTAorkPReL2SUKFO0fWX0PMB2PgaMasfpE0bGVQWFbkB6rt3S12XcFge27eL6/bOnWgMaz2luFisQH4/PP20uObfcoubhj0mRtwmqyI+6Ejx+eDEE6WNyclioSoqkv7qWDQ9nkgykOanwdmfgScW5g6DrM9qruFKg0HFUCVgrRTCu+UWGD5cng8cABu2sP/Hmm6eoihK/WPr2/D9I9B5HJx4e6mPnEQCXq+kpN6zR15bKzPSTZrU7ODwmOn1MHT5Bax6lJjNL5GSImIvKal8XRcnoUIgIFajjAwVRPUNxwLo9bpWoeefl987HBaR0aRJ7bCCOqm3W7eWvpmf71qunPTw+/ZF+mjTk+GcRRDfBuadC9s/qOnmK/Wcung7qHUUF0tgbuvWkr1l2rSIy4LxwufXQLi25m9VFEWpg+R+D0uuhxanQ/+/lDPNZ2a6LnKxsW6RUmvdQWKdxBg537YXw7LbiMuaid8vg2InY9f48fDYY3Jf2r7dHQgXFcnAWQVR/SEjQ8Suzyexyo5VKCbGLYCamFjTrXTx+aSAcHGxm/Y7NtZtrzEiiABI7CAWoqY9pN7Wpuk12nalfqNiqBIIh0UIPfdcaT/Y/fsMYeuBlY/UXOMURVHqE0U5MjjyNYYhs8BbPm2a4zZUb1zkovH4YNAb0HIAfH4NqY3W4Pe7dV3S02XGPS9P7kebNkmB1pwcGThv2iTZ9TSeqG5TXOwKobffFiHhuJ2BWGKSk2uHVSgaJ9bNcZUrKJCYt1BIXu/ZEyXY41rByP9B8lBYci2sfb5G267UX1QMVQIJCfDnP5efbdx/wLC7+3/ghz9C1qKaaZyiKEp9IRyUavX522DI25CQWm6VQEAET1ZWxS5ySUl11EUuGl8CDHsfGnXB9+kZtGmRU1LXJS1NBsrZ2fJ49llJZRz9XThWIyfWSKlbhMNi5fP55DcdOBDmzhWR72SOS0qqnhTax0JCggig4uKDJFLIjVrgbwLD50C7S2H5HRInWIezICu1k7p+S6gVJCdLZeeKCPjaQWInmdUo3lu9DVMURalPrPgt7PwE+r8Erc4s93E4LK5DjlUISrvIOTEU9YLY5lKU1deYmE960S45l86dpcZdKCRWosREyd6VkCCbxMTI4NnnE9G4Y4cKorqIkz3OcTGLj4dzznGtReGwpJSvrTixbqmpInzuvRd++EEsRT6fpOIulfTDGweD35T4wJW/F1Fk1d9TqTxUDFUCzixjhUkUrIGB/5KZzGW31mg7FUVR6iybpsOap6DrrdDl5xWu4gwSMzLqsVUomsQOIoiCefjnDeDEjrn07EmJlSgvTybrjJEBM6ggqmuEw2Lhy8iAzZvF4um4gf7nP1LaIz5enr1eed22be3u5x6PtL+wUKyWt98usda7d8OLL4q73N694s4ZcEKuPT4441U4+Vew7gWJGdR4bKWSqMV/l7pFIFBxEgVAfLt7PgSbp2sQoKIoytGSsxy+/AUkD4PTJle4ipNBzueTBALW1mOrUDTNesKwd+HAZjwLzqdVUh6pqdCliwTUt2zpZuxyBJHzvYB8b5mZGkNUGykuhnXrRAStXSsTrXl5IiZiYmDQIPjgA7fYrt8vdX3qQrHd1FS37tDPfy7PH34IY8a41s2iojLunMYDff8Mp/xRxlMLL4Ngfo2eh1I/UDFUSRw0icL+iKm3x73QahAsuwUObK6pZiqKotQtCjJh4aUQmyyuMp6KK0c6GeT27IHf/U4ea9bArl1uDEVtni0/LpKHwqDXIecrWDQGDwG6doWOHeW8naB1Y2SwfOCAuCf5fG4K7ry8mj4JJZqiIrGMbNzoZglMT3d/Lyd73MUXyzKvV/q34xJZ2/H53LpD6enSL8ePhxkz4Oab3RjsggLYujVKrBsj46n+L0PGHJh3HhTn1tRpKPWEKrs1GGPaG2PmGWNWG2NWGWMmRpY/aYxZY4z5zhgzyxjTLLL8HGPMcmPMysjzWYc8QC3DSaKQlwevvCIXqqZN5X+bm4uYeM/8l6y85DoIa0FWRVGUQxIqhkVXQNFuGPqOZJeqgGCwdAa5+Hh4/HHo3l0GWV5vPbUKRdP+Muj3ImR8AF/ejMdYWrWSwWbbtq4gii7GGe0ul5ur7nK1hWBQYmYyM93Yr/R0+czrhZdfltdls8elpNS+7HGHwqk7lJYmYyavF+64w40jysiQ87G2gsLBXW+WrIq7v4C5w2XSRFGOkaqcJwsCd1truwEDgFuNMd2BT4Ce1trewDrg3sj6u4CLrbW9gLHAP6uwbZVOcjK0ayeZe26/XVKZDh4M550nF7FwGGjUEfq9BNmL4Ic/1XSTFUVRajfL74DsxRIr0LxvhauEwzJzXO8zyB0JXSdAzwdh4xT47ncli30+VxAVF7vucqEQvPuufFdO/FDZVORK9ePUD8rKcmO/0tLks+nTpbjq1KnSt52aPa1b1w33uGicukOzZkloQUyM/J8ffRTuu0/GVcGg9NP9+6PGUg5pV8HQ92D/evhksHrdKMdMld0erLU7rLVfR17vB1YDba21H1trHYPnUqBdZJ1vrLUZkeWrgDhjTC1NDFkej0f+pGPHSgXoyZNh/nx5fvhhuagB0OkaSLsaVj4Eu76sySYriqLUXtb/FX78K3S7BzpefdDVMjNlAN8gMsgdCb1+D11uhFV/hLUvlCx2BJHjLufxwOefS9zJe++5gmjnTglsV2qGYFB+B79fBELLluION2WKCKIHHoDFi+G220QMxcXJ71pb02gfDr8fTjlFrF1NmrhxRH7/EaTdBkg9D86aC8W74ZNBUpBZUY4SY6shX7sxpiOwELEI7Yta/h4ww1r7rzLrjwYmWGvPrmBfNwE3AXTo0OG0dMd2XAvYuVMexcXip56YKDM6LVuK1SjVKYlRnAtzThHf95+sAH8tzoGpKIpS3WQtgk9HQOuzpZ6Ox3vQVTdskEFSXp7r+pWcLJNTMTHiJleni6weC+EgfHYFbH8PBs+ADleWfLRjh3xXoZB8P++9BxdeKALJCcT3+eR+VdcsDXUdx8oJEiuTlwd/+ANMnAidO4u4D4fF+pmcXD+tnVu2yHdwwgliDQoE3Mlmv18EU3JyBRvmfg/zzoVQodQlajmg2tuu1H6MMcuttf3KLq/yv5IxphHwFnBnGSF0P+JKN73M+j2AJ4CbK9qftfYVa20/a22/Vq0q9h+vKZKTZQYnL09Sa0+aJMubNpXZjhLzbkwzSbedtwmWT6yp5iqKotQ+8rZKnFCjTjDo34cUQtEFVtUqFIXHJ/EULc+Ez6+FzPklH6WkyKAyHBbhc9VVYgmKdj+yVr7TUi5JSpWzc6f06fh4+W2aNhXvkvbt5bfw+SQpRuvW9VMIgRtH5MRbf/KJiHK/v2JrUQnNesI5iyGmOfzvbNjxSXU2W6njVOnfyRjjR4TQdGvt21HLxwIXAdfYKNOUMaYdMAu43lq7oSrbVhV4PHJDdlJsP/aYiKKTT4ahQ2HlyqibS/IQ6H4vbHwNtsys0XYriqLUCoIF8Nll8jx0NsQkHXRVp8BqTIw7QIqOFYqLk0FkfR00HhZfPAx7DxqfAAtHwZ5vAfk+2raV78fvFxdDr1c8GqIzzIVCknVOqR4CAbEGeb3ym8TGlu67Tmr0+t6fnTiiggJx47zwQhHroZAkSdm1K6r2UFkadYJzFkGjLrDgQh1bKUdMVWaTM8CrwGpr7dNRy88HJgGXWGvzo5Y3Az4A7rXWLq6qdlU1oZAE+U2aVD526KGHomKHAHo9BM37w5c3SVFWRVGUhoq1ci3MWS6W86bdDrm6U2A1FBK3oaKi0u5xTZrUrcxaVUJscxj+Ifgaw/yflASY+3wSf5KUJBN4TZqUrssE8j3u3av1h6oDR9g7Qn5fxIemqEhEqtPPmzat2XZWF078n2O1dLLmOY99+w6xcXxrOHsBtDgdFl0FP/6t2tqt1F2qco5hEHAdcJYxZkXkcQHwAtAY+CSyLJIkktuAE4AHotavyDO0VpOQIDeZDh0kG4ozYxkbK+9LuR14/DBwOoSLYclYsOqToChKA2XNZNj8L+j1CLS75JCrRhdYdWq7RbvHWdtwBo6HJbE9jPhIrG3zzoPCXYBYGJo0cTPMNW8u9WycZApOPZt8rWlZpQQCMoEaDEp/doq1798vliCvV8YV7ds3LHHvuHLm54todxJ/FBWJGDqkC2dMMxjxMaT+RCZYVv3JVfmKUgFVmU1ukbXWWGt7W2v7RB5zrLUnWGvbRy2bEFn/UWttYtTyPtbarMMdp7aRnAyzZ8uf97CxQwBNusJpz0Lm/2DN0xXuU1EUpV6z4xNY8Rtofzn0vP+wq0cXWB0zBv76VzdGKD5ektY0pIHjYWnWQ1zm8rfAgosg6FZYTU2VgWZxsWQpK5tdbs8ezS5XVQSDsG2bfL8+H7z9tvTh4mLXauf318202cdLaqqbNvyIssqVxZcgtcnSfgbf3gsr7lFBpByUeu59Wv14PNCrlzwfUewQQOcbZBDw7X2Q802NtV1RFKXa2b8BFo+BJt1hwDQwh74tBQLlC6zecINrzbAWGjeuprbXJZIHw8DXIecrcR8KS+CFzyeWh0AALr5YBNGFF8r3GJ1uWwuyVj4ZGWLp8HhE7AwaBHPnSvZDRwglJdXdtNnHgxO7lpoq31G0q5zHc4S6xuOHgf+ErrfC6j/DF7+QTIuKUgYVQ1WAkwbyiGOHjIHTX4HYVvD5zyCofgmKojQAAgdg4aXyeug7hy0zEAxK6l0tsHqMtL9UCn9nzBH3ociI0skwp9nlqo9wuHTa6Keflmy0F18sv4PXK58lJNR0S2uOhAQ3ccJRu8o5GA/0ex56PiQJqxZdJem3FSUKvWVUEdGxQ7ffLsXTcnLEje6JJyq4Wce2gDP/AfvWwDe/rpE2K4qiVBs2DEuuh30/wOD/QOMuh90kI0OsFFpg9TjoenNkYDgVvhWXRI8H2rQpnV2urDUiOrBfOX4yM8X64YjMMWNk4rSgQN4bIyK1Ibt7pqS4rnJQ2jp0VP3RGOj9ewlJ2DYL5l8Igf1V1WylDqJiqIpwYocSEuQCd/vtcNddMHiwWIv27xfL0c6dUbMbrUdCt1/D+r/AtvdqtP2KoihVyvePysCkz5NSXPUwODPpWVlqFTpuej0EJ9wEPzwOa58HxE0rJUVEZqtW8h2XTaag323lEAyKtSM+Xvpsfr58z7fe6qaKb9u24cUJlcXjkb6XnFyxdWjPnqO0Vp50B5z5T8haAJ+eVZJMRFH00lZFOLFDsbEwdiz8/Ocifs44Q4TRyJFSPG3AgDIxRL0fhaQ+8MXPoWBnDZ6BoihKFbFtNqx8CDpeCyffdUSbODPp06a5dUbUKnSMGAP9XoR2o6Twd/p/ALf20IEDEjt09tlu7SEnmUJRUc02vT7gpNHOyZHvvEULN07I55PXfn9Nt7J24MSzHXMihbJ0ulZccvd+D3OHSJFnpcGjYqgKcfx9k5NFCIFYhaKF0eTJcuPZvj0iiLyxkm47uB+WjtfsJ4qi1C/2/gCfXwvN+0mspDGH3cSZSY+Lg9/9Dv74R7Fc+HzyaNxY3JLVcnEUeHySUKHVIFhyHWTOAyRgPRiEyy93k1GEw24yhR07DlH0UjkswaB8fzEx4iHiCHknTsjpz4qQkuImUqiIY6qD1fYiSTdfkAGfDIJ9a4+rjUrdR28dVUxysmSUS0uT982bu0LoscdkljMrS4KCN22K/LGbdoe+T8GOD2HdCzXafkVRlEqjeA8sGCVpb4e8Db74w27iFKT0eOS5WTN4/HF30G6tTDqpEDoGfPEw7F1o3FV+lz0rSgSmU4y1qKh8MoXMTE2mcKxkZMj3u28fJCaKq3wg4A7qGzfWvhyNM6lsjFiBPvlEhKTfL49jzrSXPBRGzodwEXwyBHK+rrxGK3UO/ctVMR6PCKFZs+Q5J0eenSxzTmHWYBDWroUff4zcZLr+ElIvhG9+A7nf1/RpKIqiHB/hECz+GeSnw+C3pBjo4TYJw/r1MlgMh+U6WdZNy+sVgaQcIzFJMPy/ENMU5v0EDmwqqT3kWIScgHUnfigYFKuGcnQUFkpfjo+X7zEmRmKDPB4ZB/j9ahWqiJQUSSzx+eeSfvyuu2DrVkmukJ0t1spjEufN+8LZi2RyZu5wyJxfyS1X6goqhqoBnw9OOQWWLhWL0KxZYjGaOLF8YVZjIi5z1sCA1+QG9fnPNBWkoih1m2/vE2t3vxek5s1hcCxCGzbINfTll8snTYiLg3btdCb9uElsL25D4SKYdx7+UDbx8TJwb95cBvHp6W5ChWBQZum19tCRU1zsxr05sULR/dYYtQodDI9H+tzFF8Mf/iCTyMnJssyJG0pPP0ZB1KQrnLNI/gPzzodt71Z285U6gP7tqgmPR9zlUlNFGHXoIDfxigqzDhkSSaoQkwxnTIHclbDivpo+BUVRlGNj8+uw+v/ghAmSxewwOBahoiJxJfJ4JPXw1KkyOAcZTGqgeSXStDsMew/yt8KCi2jdqgC/X2bk09PlnlS2GGtGhgqiIyE61srJkKaxQkeHUwdr7NiK3eOOKZmCQ0I7OHshJJ0Cn10OG/9xvM1V6hgqhmoAj8c1jTuFWX/+cxFFb78tcUTbt0tOfdpeACfeBmsnw46Pa7rpiqIoR0fON5Ids9VgqfNxBGRmikXI4xHr+XPPifC54QbXVSsU0sFjpdNqEAx6A3KW4Vl0BaltggSDIkidYqwFBa4gCgZlkH9MQewNhOJi2LZNhJDXK305Nra8VSglRa1ChyI1VURQcrK8LioqXXfI4znOfFOxLeCsTyF5OCwdC2smV1bTlTqA/vVqCCcoMC1NZjod69Bdd8Hw4fDKKxJgmZ4OO9s+Q7j91bBkrObFVxSl7lCYBQsvlYHG4JngPbLCKfn5MgAPh6XmzQUXwF//6s6mx8eLdb0hF6SsMtqNgv4vw47/4l/+C/x+S16eDD4dK1C0O1I4XKZenlJCMCjWs6IiGci/9x789KfSl534IZ/PLXirHByfT8ZJTna5iuoO7dt3nP3Q3wiGfwDtr4CvfwXf/k4z+jYQVAzVICkpUpg1Lw8efLB8LaK774avv4YNG71sSp1OsM2l8OUv9M+pKErtJxyARVdCUZbU9YhPObLNIkH7eXlunJDfDzfeKJNIfr9Y1nXwWIWccCP0ehg2TSM1NItOnWRgn5Qkv83evaULsoZC8nsppXGEkMcjyRIGDZL6Tbfc4hZXbd78ODKiNTBiY2USpLi4EusOlcUbC4NmQJdfwKrHYNmtkvxFqdccVgwZY7pXsGx4VTSmoeEUZu3fH7p2LV2L6PnnRRDddRcMHgwjRxpWxr1AOD8TNvytZhuuKIpyOJbfBVkL4fS/Q/PTjnizzEwZKDoWobJxQu3aqRCqFno+ACfcjG/JFXRtPBe/XwRRfLwM6AcNgpdekln5cFhKRBxzVq96SHGxWH5CIflucnKkT198sRsn5HiIKEdOTEwV1B0qi8crNdC6T4L1f4HPr4GQBsfVZ47EMvQfY8wkI8QbY54HHq/qhjUUPB65QDpFA0Fu/GPHli/Omp/vZftJnxLe+G8tEqYoSu3lx7/D+hfh5Luh0zVHtWl+vgwUy1qEnABzFULVhDHQ70Vodym+heeSGvclfr8M8C++GN54A8aNE3cva934rq1bNYbIiaXy+WDKFLGo5ee7MS7gJlVSV8+jJ7ru0GuviThyrhGVdn0wBvr8Cfo8AVtmwMJREFTzZ33lSMTQGUB74HPgKyADGFSVjWqIJCeLy5xTiyg52RVCTsBlMAgrVyewvu07hL//k85UKIpS+8j+HJbdAq3PkcHEURAMihDKyJBrXosWMtC2ViwOzkBSqSY8Xhj4b2g1GN//htCmWUZJVq/x4zWGqCLCYRGEgYD04egsiE6MS1wctG+vwv5YceoOzZgBN9/sXhcKCmT8VKlivPs9cMbfYefH8L9zpXC0Uu84EjEUAAqAeCAO2GStbaCXuarDcZlzahG1bi3C6PHHZbbtlVfkT960KeBrRm67+2HlQzXdbEVRFJf87fDZFZDQXrKSeY582tsZRMbEaHHVWoUvHobNhsZdifnoZFq33IvfL7+HxhCVJzPTTZjwn//Id3TDDdKnCwpkHc0cd3w4dYfuuKN8VjljpD9WKl1+DoPfhJxlMHcYFOyo5AMoNc2R/B2/QsRQf2AwcLUxZmaVtqqBEl2LKC1NirO2awfPPls6fui88yB9dxfCOxdoxWRFUWoHoUJYeBkE98PQ2RDb/Kg2z8qSgY3jIhddXDU2Fpo00QFkjRGTBCM+hJhmxH50MiktC0q8FaJjiBxBFAjI5F1hA6sVHgxCfr4tlTDhgw/EEuT061at1CJUGTiCPD9frg95efI9h8Nw4ID0wUql/eWSae7ARvhksDwr9YYjubX83Fr7oLU2YK3daa0dBcyu6oY1dHw+Kc7q8Uj80PPPS9zQ/Pny/PDDhqy0F2HJdWq2VRSlZrEWvpwAOV/Bmf+EZj2Pehf5+XK9Uxe5WkpCOxjxEYSLiPvfKbRpXVgqhmjx4vJFWXfubFhFWTMyLF6v0YQJ1UBqqvStoiL5TkMhePFFWVZYKLUaK73vtT4bzvofBPbCx4Ngz3eVfAClpjisGLLWLqtg2T+rpjlKNB6P1Nro1Anuu89NIxkbK+/DjXtAwU748mZNt60oSs2x9jnYNA16PgjtLzvqzcNhud5lZamLXK2maTcY9j7kbyV2/lDapBSXxBA5RVmjY4Wsld+0IcQPBQKWQMBNma0JE6oWn0/6XXKyfLcVxQ9VSTKPlqfD2QvBeMVlLvvzSj6AUhOo00EtJzlZZpfKzooaA8YbA70fgS1vwqZ/1EwDFUVp2Oz8FL65W4p19jq2OMbMTHF7cSZ8ol3knGBzdZGrJbQaKHVY9iwnZskltE4J4ve7Lo7GuNahUEgGo/v313SjqxanuKrPZ9i3TyYxi4rkubDQFfPqHle5JCS4EynVFj8E0LQ7nLsY4lrB/86GjA+r4CBKdVJltxdjTHtjzDxjzGpjzCpjzMTI8ieNMWuMMd8ZY2YZY5pFbXOvMeZHY8xaY8x5VdW2uoTHI3/oAwekUNvw4fJ84EDEGNTtHkgeCstug/0barq5iqI0JA5sgkVXQZOTxD3OHP0tJRyWWXSHoiKZBAqHZfY3MVFn02sd7S6B/n+FHR8R+/UNpKRYgkHJmFaRdWj//vprHQoGYf06SzBoiI0VARgTI4WBPR4R+H6/pIVXKpeUFPl+nULN+fluxj5j5Fqyb18V9b3ENDhnETQ5GRZcDJvfqIKDKNVFVc61BYG7rbXdgAHArZECrp8APa21vYF1wL1QUtz1p0AP4HzgJWOMtwrbV2coLpY0ptE1h2JixCc7jDcyCPHC59dCuIEXeFAUpXoI5sHCS8GGJWGC/+hHe+GwzKh7veJOlZAgg5cdO2DjRhnMqBCqpZzwC+j1CGz+J3Grf4vfL65JTnY5pyAryO9YXwuyZmSE2bTZ4PNJ9ri4uNJWTGNcVy6lcvF4xGocFyfjJJ9P+mB07SFjqtAyGZcMI+eJtfTzn0mBVqVOUmV/T2vtDmvt15HX+4HVQFtr7cfWWmfEvhRoF3k9CnjDWltkrd0E/AicXlXtq0uEw64QeuwxmDZNBg7btsGmTRCM7QCn/xV2L4XvH63p5iqKUt+xFpaOh73fSwrtxicc9S7CYVi/3k1D7Pj2d+oksRWdOok40lihWkzP30HXX8Lq/yPV80lJdjmnIKsTymqtDFYzMuqXIAru3UQgYEhMLJ09zhgZjPv9Yi2LianpltZffD7JvhsKiVWootihXbuqsBBwTFMY/iG0vQi+ukXGYBrDXeeolrkKY0xHoC/wRZmPbgD+G3ndFtga9dm2yLKy+7rJGLPMGLMsOzu7Clpb+0hIkD/7pEmSVc5JphAMwtq18OOPEG4/BjpdD6v+oAF9iqJULT88LrGKp/wJUo/NozkzEzZscBMnVJROOylJZ9RrNcbAac9D+8vxLTwXvz9MICCeDF6vCKDcXDfYPRQSF+96wYFNZOS2w+cz5OXB009r9riawvmeq7X2UDS+eBjyFnS8Dr57AL7+lVjMlTpDld9mjDGNgLeAO621+6KW34+40k13FlWweTl5ba19xVrbz1rbr1WrVlXR5FpHcjLMni3PEyeWL8JqjNxw6Pc8JKTB59dAYN/hdqsoinL0bP8Avv0dpF0N3X59TLtw4oQSE+W1M2sbnU7bGKktpNRyPF4YOB2Sh5K6/Rb8fovXK7+dtRIr48R0OPWHKr0GTDUTLtxLdlYxgaCP+HiZrLzgApmsLChwU8Fr9rjqIyWldO2haosdcvD44cypcNJEWPuMWM41bKHOUKViyBjjR4TQdGvt21HLxwIXAddYW2JP3Aa0j9q8HZBRle2rK3g80KsXdOhwiCKs6RD2NoGB/4L8LbDs9pputqIo9Y29a8Q3PqkPnPH3Yy7+k5kpg5a8PHj55fJWobg4udapVaiO4I2DobPx5Symtf2E2FhLcbEIoqKi8gkVMjPrrrtcOFjEyh9i2Zh9Ej6fISdH+mtamiQ3iomRR1KSZo+rTjwet/aQI0CjrUPWiiCqUowHTp0ssXSb/gGfXQHBgio+qFIZVGU2OQO8Cqy21j4dtfx8YBJwibU2KocQ7wI/NcbEGmM6AV2BL6uqfXUNj8fNTlNxEVZxNaHVQOjxgPwRNbuJoiiVRXEuLBwFnlgY+g74js3/p7hYZm79fnEruuACmDpVYivAFUI6kKxjxDSDER8Su+IXtPF8SihkSyxCxcVSBNMZpNbFhArBIGzdasnYGcOoy+No0ULio0Ih15LpuMf5fJo9riZwal4lJ8s1JhCAc8+FJ5+UPrdrVxXVHorGGOj1APR7Eba/B/N/AsVV6aOnVAZVOe82CLgOOMsYsyLyuAB4AWgMfBJZ9jKAtXYV8B/gB+BD4FZrbagK21fncPxiO3USy9C0aeJykJwMTzwRNYva83fQYgB8NQHyttRomxVFqQeEQ+J+e2AjDJkJiR2OaTdOPZboOCG/H268UZb5fFqPpU6T0BZGfETsl2NI8O8jEBDrUF6eG+cKtTehQjgMO3eKp8XOnW7bAgH49lu4/XZDUZEhPV1Ej2MVKps9rnFjtWrWFAkJ8ntlZ0vs2siR8KtfiZUoHJa+uHVrNbhqnniLuI9mL4ZPR0BhVhUfUDkeqjKb3CJrrbHW9rbW9ok85lhrT7DWto9aNiFqm8estV2stSdZa/97qP03VFJSZLBQNpHChg1yYQ6HAY8PBk0HG4Il18lARlEU5Vj57gHImAOnPSt1zY6RjAzXbUrjhOopTbvBsPdJWTMKv1/c5bKzRSDs3QvvvecWZA2FZHBaU0SLn9xcETwDBkDHjvK8cqX00+3b4YorxCvD6xWXuHBYUjarVah2kZIiv0Viovyu991X2ko0bhysXi3Xoh07ZJ2NG0uL30qj49Uw7F3YtwY+GQJ56ZV8AKWy0LmLOoaTN99JpBBdiHXHDpn9AKBRZzHTZi2E1f9Xk01WFKUuk/4fyR7X5ReSRvkYCYdlQBIKaZxQvafVmXh6/JrU3P8jFLIkJopL2eLFcOGF8ns7CRV27xYrUXUTDMJ334noeeQRcaG67DIZHIM8jxol2VqLiuR98+YidqZMcfvwzp1yHo64T0nRPlyTOB40eXkiWj0e10rUurWUJ3nlFYlbW7MGXnhBCgXv3QtbtlSBxSj1J3DWJ2IZ+mQw7F1dyQdQKgP9y9ZBYmPdRArRcUPPPlu6kjudroMOV8F3D8LuZTXVXEVR6ip7vpWsSC3PhH4vHHPCBJDBhzOQHDOmfJxQ27bqHlevaHsR/kYtSfDtIS9PBplXXSUDz7IJFbKyqtddLhwWa8+ll4rIuftu6Z/pZSbu09PB47GEQjKwzsmBt98WwTNihPwd2rYVYZeQIAVAtQ/XPCkp0KWLXGuirUSTJsHPfy4Wvl27YM4cuRbdd59YigIBWa/S49laDYKzF0A4AHOHwO6vKnHnSmWgYqgOkpwsgwfHTQ7k+b77ysxIGQOnvwzxrSUDVLAG/REURalbFO6ShAkxSVJDwxt7TLsJBmWwm58v160xY6Qw4vjxIo5iYqREgBamrId0+Tkpgdl06VSI3y8WFq9XZuFfesnV1tWdUCEz0x34grQpK0sETzRpaRDvP8CUKTBzpsTp9ugBc+dCt27SZz0eEUEdOmga7dqCxwNdu0LPnjI2cqxEzZu7Fr7ERLkGPfqojJ0AzjlHtjvzTCkInZ1diW50Sb3hnMXgawKfngU7P62Uc1UqBxVDdRAn0LhsvaGmTV1xVEJMEpz5T9j/Iyy/q0baqyhKHSMcgMVXQcFOGDoL4tsc026KiyUOY/duuW5lZEjM4w03uHEjwaAWbK/PeLqMo2v4RZrFZxIMWuLj4Y03JHbD+d2rM6FCMCjC3In9AemH06bBq6+6y9LSYNasMG2yH+Taa4LMmAF//KNYHEaNkv7cqJEIIRXytQ+PR7JVtm3rWokcUZSTI6+9XtdKNH68K45bt5Y03N9/D8OGyfYDBohA2rlT+unWreUTbRyWxl3gnEWQ2BHmXwBbZ1XV6StHiYqhOkpxccX1hrZvr+CPmTIcuk+CDX/TP5+iKIfn619D5jw4/RVo0f+YduEMbq+4QgYmTtKEoqLS63m9IpCUeooxeLrdSdO1t+L3hQgEZODpWIiqO6FCRoYbpzZligyOn3oKfvc7t2TFokXw6VxLT89T+DqPoVdvH3ffLdaEuDgRQGlpMmjW+KDaTbSVqE8fmDVLhG/LliJik5NdNzqHSZPcOKNogZSRARMmwLZtklxj82b4+msRScFgxZkIy5GQCucshOanwaLRsOG1Kv4GlCNB/8Z1lFBIZjR+/nP5851xhlzE8/MPIoh6PSx/vi9+Aflay1ZRlIOwYQqsew5OuhM6X39MuwgE3Mxx6emaNKHB4/HCwH+Rum8yfr/F63UTKgwa5AqiQEBm7QsLq6YZThKPmBgoKJCB8EsvwfXXy/GffRZ697Z0aJtPWtbN+JufAC0H4PHIYFgFUN3EsRKlpsIpp8i1qF07yVyZkuJajBwcN7qyAmn8+IqTVzlWpKeeks8Om4whJkmSKrQ+B774Oaz+c1WevnIE6F+6jpKQIBdyRwg995ybZnvlSpmpKCWIvDGS8z5UCEvHgq1FxR0URakd7PpC6pOljIS+Tx7TLsJhVwg5gedPPaVJExo83jh8J91Ia+9nxMZaAgG4+GIRRGefLamtfT4ZQGZmlrcgVgZOEo99+yReqbgYuneXfti8OSQlWbrk3E77zxPxtegF7S+r/EYoNYojbFNTJa1/Whp07uxaCUEETUUCKT1d+kq0xSg9XaxI06fLNc5J2lBUJBPTB82U6EuEoe9ChzHwzW9gxb3qL1yDqBiqoyQnuzNVjz9ePsnTvn1RabYdmpwEp02GnXNh7bPV1lZFUeoABTvgs8shvi0MniH1yo4BJzg9FKIk8PzTT+Evf5FYodhY1yKksRYNjJhmxDY/gTae+fj9kqXt8stlDBgTI1ZDRxDt3Fn5Kbfz88UiFQrJ8Zo1kwlEr1cejXb9G9a/CCffDSfdXrkHV2olfj+ceKK40S1YIDUb+/d344yiBVJamvSdslkHnWQMM2aIILrgAvHc2bZNJoYOmoDBmaQ+4Wb44U/w5c1aF7KG0NwndRSPxwnwlBmLjRvFXJueLsunTDmIibbLjVI8ccVvIeUsSDql2tuuKEotI1QECy+H4lw4dwnEtjim3YTDMuD0+eCvf3Uzx82Z42aOS01VEdSgSUgltuk+WufOZaf/bIJBQ3y8uK21aCGDTZC+lJkJbdpUTpa2QEAET1GRCPJoVzdjID4+iGfhtVKOoq/W5mtIOG500bRoIWOrBQukTzZuDLNnu1kHowVRXp5MTo8fL0KodWvx1klMlH7t8YjQLyhwax+5B/dC/79AbEtY9RgU74GB/zrm7J3KsaGWoTqMzyf+r9a6ZlsndigmRi7+5WYijIHT/w4xzSPptgtqpO2KotQSrIWvboHdS+HMaZIC9hgIBmHdOhlw7tlTcQrtpCQVQgrQ9GRiExuT4l1KKGQxRgae2dmlEyo44royyMiQvrdvn7wvKhLLk1gxLU3X3Q6thsh/wOjQqKHjCCTHja5VK+jVS9wqZ80qnXWwSxcR2F6vW8/I7xfx89pr0pc9Hhl+7d9fwcGMgVMehVOfhq0zYcHFEDhQrefb0NF/fB3HydLkCKHHHpNMKVlZYqLdtMmtjF1CXEu54O/9AVbcUyPtVhSllrDuRdj4GvS4HzqMPqZdBIOSanbjRhlwBoPijhSdQttamV1VFABaDiDO7Cbef4BQSITJ4sVw4YXSV6ITKhyvu1wgIH3S73cHpPHxbrHUli1C+HbPg6HvgDeuUk5PqX84AumUU2DpUskmt3SpZKtr21YEkVPPKCnJdZu77z5XhGdnS3KFcuMygJPvggFTIPN/8L+zoahsrINSVagYqgckJMgfcNIkSQ3qFGMNBmHtWvjxxwosRG3OhZPugnUvwPY5NdJuRVFqmMz58PWdkHoR9H7kmHbhCKGiInELCYXKZ42LjZXMTZqFSylF24tobRbg94UJBOCqqySTXEGBK4iCQSnIWuHg8QjJyBDr5OuviyCPjhXyeCwJ216C4f+F2OaVdmpK/aWi7IJ+v7gAv/WWuM0Fg25R10cfFRE+fLjEeOfliZCqUBR1HidFrvesgLlDIX97tZ9fQ0RvTfWA5GTxZU1OdtM+RhdjNUYy9ZSjzx+hWS/4YjwUZlV3sxVFqUny0mHRldD4BPFRP4RrUDhcuoaGU1PDKT5YVCQDgrw8N7NlixYyoHUeTZtW47kpdQZP+4to6/kvfr8tcV2D0hN4Tv87loKsjlUoJkbSeM+KKrXn8UDTJkH8bQZCo07HdyJKgycmRqxGffuKOHKKunq9MHo0jBwJv/qVJLdyXEC3bq0gvrvdKBjxIeRthU8Gwb71NXI+DQkVQ/UAj0d8WTt0kAxNFRVjTU+vKJNJHAz8NxTvhaU3aFpHRWkoBPNh4aUQLoahsyGmYqUSDsukyrffSgX2jh2l6OB338n7L75whVBWlriQXHCBJE+w1glMl2tTZQTBK/UTX/sLaBPzJcGgJSmpcguyOlahp5+W/nnxxbKvEqtQ4Ado0a/yT0ppkPh8kvQjNVUmhZKT5fqYni5eO/n5In7+9je5vhYXSwrucoIoZTicPQ+CeTB3sFiKlCpDxVA9weMRn1WPp3QxVpDnhx+WP1y56sjNeko9kYwPYP1faqz9iqJUE9bK5Meeb2Hg65JyvwyOCFq3TnzcL7vMvZ6MHSvpkNPTxTfeEUKxkeRHfj/ceKPrOtKundYSUg6DMcSk9MPvD5fEm1VGQdaiIrEKJSTAT38qbuQFBdK/jYEmTSy+lppRVal8HLe5lBTpb04Wuexsya45bpy4yu3cCT/8IC5zO3aUGaM1Pw3OWQSeWJg7DLI+q+Gzqr+oGKpHeDyli7E6nHGGWIqGDJFgvq+/llz6JX+4E2+DNufDN3dLUgVFUeovq/8PtswgfPpUdnovKDdBEg5L0ebsbEmIsGtX6euJU3wQZHAaLYSKiuT6Ew7Lsvbt1SKkHCEeL6ltQvj9lVOQtbhY+rUTK5ScLOUnYmIcFyZLQoIOgZSqIyZGRFBcnNRbC4UkrnLCBLlu3nKLxBG98orMUeXmitjfsyfKm6fJSXDOYohPhXnnwvYPavis6id6JahnpKS4gX0OkyaJpah1a8k298or8P33Iog2bYJgyEgGE19jWPwzqTmiKEr9I+O/sOJegqf+le8OXFfi+jZgAKxcKTffrCy5NuzaJTdup66GQ06O+/6JJ9xU2SqElOPF54+hTUpxuYKsTvwZuH30UAkViopklj0QOESsUFO1WCpVj9/vpueOjRVXT4/HLYcCcP/9IoR+8hOxvG/aJJbLbdsilqL97Qmf/Tk07QkLR8Gm6TV6TvURFUP1jOhirM6AxbEUOdnmouOJRo6MDIJiW8OA1yD3W/j2/po9CUVRKp9962Dx1QS7/Z6tsTdy6aWmlCvtqFESC7R3ryuC8vIkVf+rr7rXk2nTJGNSWprEDP3xjzLR4oifZs3kMxVCyrEQExdL61aF+P2WYFAskcaUX2/v3oq3DwRcIeT3HyJWKKGCnSpKFeDxSD9u21ZqEjnlUBxatZIEC9ET1hs2wNCh7mRV+o4ktnb/kg39C9lqLya4bW6NnU99RG9X9RCnGOvSpW5ws5P7Pjqe6IwzRCDl50s8Udu2F+Hp+ktY8xSkng+tz67pU1EUpTII7IOFlxJMG8/WZg9QVGRK3YxBrgmxsW5WuGnTJOB34kRJyjJ5skystG4tCRGc60t0kLCiVAaxCfGktMxj+84EYmIMGRniMucIGicerSIyMtx+WVDgxgo5xX99Pmja1KhYV6odj0dqEmVkyJjMuQYHg/J68mQZnznPzucjR8o4LT3dkJjow+ttQrDtSDwb8ohNTCA52ej19zjRr6+eEp0Hv21bSb2dl+daicoWaN2yJeIyd8pkaHIyLBmrBb8UpY4jKYkt6RsLyD55BuktnqaoyJRMkESTliYxh82ayUzlxIli9QF48kno3VtcPTp1koFo2TobilKZxCUmEh8X4sCBipMp7NlTPplCYaEMLEMh+TwUEne46Fghnw8aNaqZc1IUj0cSK8ye7V6DnQQLTjxmdFwmyKSUE2M0aZL0/xEjDGOuSeTHHw1btlg2bjz29PMKGFuH0yn369fPLlu2rKabUScIhyW3/b59MsswebIIodtvl1mzsWPdWd+0lun4/ttVCjEOeatiHwVFUWqccFh8zZ34CaeQZChk8XplBvKyy8QKNH++DARbtZIbayDg+q2npcGUKdCzp8RnOAkUNAZIqUnCYdi0yeLxGN57TwRRtIXI75c42bg46c8ZGbLdCy9Iti6QzHTGuOu3bav9WKl5nNi3oiIpBOxklrvlFhmf3XWXK4g2boQRI+T922/LZ61bS023vDzJTnfHHSLy9+2zeDzg9cq4rbhY7gnOMR1LfigEBw7IZ3v2ENlG/kcej/xHiovdItotWsh60Tj1u5xjhELy3omLCocl1i8urvZ4Dxhjlltry+XSr7KmGWPaG2PmGWNWG2NWGWMmRpZfGXkfNsb0i1rfb4yZZoxZGdnm3qpqW0PE45FBkBNPlJwsAqjCGKKNaYRPnwLbZsHG12q66YpSb3GKSWZllX6kp4vPuFOhvLhYljmpV3fskMmN9HRJaLBvn4iXPXsk8cH27YbcXFMihED+887+Y2PlxvnSSyKSXnpJamO0aOG6cpxwgqynMUBKTSGDMkMo5GaXu/BCGWA5A7edO+X/kZHhJkz46U9h6lQZhDmDsvh4FfRK7SHae6d5c7G89+0rYqdsnGYo5Aojx2o0aZJc6+fMgZtvln69cSNMnGjYscOwfTusXQt33iklEoYMceOPMjJkWydz6MSJck9Zu9Z9vWYNDBsmMU5PPSX3on373Ed2trjuZWW59x1x5ZN9rFsn23fqVDpBT22lyixDxpg2QBtr7dfGmMbAcuBSwAJh4K/Ar621yyLr/wy4xFr7U2NMAvADMNxau/lgx1DL0LERDkuM0JYt0pGdWYZJk+SPlpcH/ftbWn13NuxaCj/5BpqcWNPNVpQaJxiUm4DHIzeouDjYv9+dVQMZqDmxCUVF7uxa48YyQ52fL++bNZMbx7//LTczh9xcCaZ1LDZLlsjN6403JDX+jBmyvt8v+3LYtEluPJs2yfumTWWCw2HtWrjnHnG5MEazvyl1A8fiEwiIgN+9W/qrMxPt9Upfd2a3X3pJJvicQq1er1sIU/u3UttxLEbhsPTfcFj68ODBpS1D06bJ+q1ayfU8IUHEx+TJbqmDiqxMIKLJsdJEb+Os77x2tlm1qryD0KZN0K0brF7t3ne6dRMLVkXHTEuTONPWravmeztSqt0yZK3dYa39OvJ6P7AaaGutXW2tXVvRJkCiMcYHxAPFwL6qal9DxinQ2rq16xr32GPSeSdNknVycw07u/2XcIvB8Pm1EC5bHllR6hdOHEJWlmSqysiQSQPnsXevzHbl5MgsWDAoNwBnJs1ZLzdXhEZmpgiQ4cPhmmvkxvD993Lz+dnP3GKm48fLsZ2HI4RAnouL4YorZL3Ro931g0H5LzuPxET3uaKU2Nu3u3FABw6Ie5HHIwNMtfwotRXHFc7vtxQVycBw7143figUkgkJn0+WVVRcNTlZ+7dSN3AsRqmpMkGVllY6xuiJJ8SlOS9PHpIdUe4JTryRcw+oKP4I5D/j3G+ityn72sE5Rtn7jVM3Kfr9wY6Znn5k9cFqimrx4DPGdAT6Al8cYrWZQB6wA9gC/Nlam1PBvm4yxiwzxizLzs6uiuY2CJwA6tat4cEHS9chuuUWOPFEGDAwhpUt3iWMl/D619i5s0x1ZEWpA4TDImD27HHFzu7drtjZtUsGV7t2yXrgCpuMDHk4AdmbN8t/Jz1dLEBXXCHuprt2ibiJthpt3uzG5EyaJJ9Fv3eKmZa90ZS9iTg3LK+39Pper5yb88jLc58rSon97LMyqLzpJtl+/XppZ2pq7fDlVpSDERcHKSmGYNASHy/ucpddJp8lJsrEQEKCG1PkJEyIjZWBmTNTrih1EY8HevUSy8qMGRLb2b+/JLSJiZHrvlPPKCfHvQc478smy/F6Zf2y25R97eBYqMreb7ze0vcdr/fgx0xLq93/wyq/BRpjGgFvAXdaaw9l6TkdCAGpQCfgbmNM57IrWWtfsdb2s9b2a9WqVZW0uaHg80kH7drVHaBFp3NMT4dRl8Wy6+Q3Wbn38goLNCpKTRAIiJvn1q3ST3Nz5dkRO1lZrthxZqQKC+UiXVgoVpvt22X2eO9e2b64WB4FBSJkHHGTnS3Cp6io9CxYRTNxzufOjFm0n3fZ947lpuyNpuxNxLlhhUKl1/f53Jugs46zvZMN7vnnxWVh0SJ46ilL165w6qnyPz71VPnvqxBS6gJxceD3GwIBuPpq+f+89578D30+eP11sQCVricksUKKUteJjjFq1UoeJ54ISUmWmBhLTIzUf5s2DVq2lM+nTCk/KZaWJveLmBjxCojexlnfee1sM2WKm40x+n4TCsm9xLnvhELu/soec/Zs+X/WVqrUcGyM8SNCaLq19u3DrP4z4ENrbQDIMsYsBvoBG6uyjQ0dn09iGaLTOkaTng65xW0ZdZWhdWsZWDVvLgPJ1FT5wylKVRAMQk6OJS5O3LqslZmlmBjD+vXwhz9IbEAwKBfvXbsk6N8RLllZEpfjBFGDiB2PR8QOyHaFhW51e8fdIDGxdFsCAbnQR8+CRc+qRc94hcNuRh2nloSzTvR754YxZUrpmKGZM0vHDDk3uSlT5DNnfccFaP9++S82aVI6m5y18Mwzsl5CPCSnmJIbqqLURVJT5d6Tn+9ah4qLJWZo0CBJDnTxxbKuxyPLD1aPSFHqOh4PNGtmaNQoTE6OpXNnw7PPOp4DEuTzzDNyT/jss4qzyXXtStQ27mufDxYsOHw2uWbNSmeTa9bM3ceCBbJeXahFV5UJFAwwDcix1t5ZwefzKZ1AYRJwMnADkAB8BfzUWvvdwY6hCRQqh3BYLD3bt5cOmgMZjH38MVx/vbjQlUvDrbEGSiUSDIqlxuMRIdSsmSEzU4RFUpJcVMNhN+jzrrvkgjtsmDw7CQU2bZK+/OmnrkAAd8Z4+3Z537atmw7U45HtExIkYDSaHj1Kp+sFmUTIzhZR5iQlANm+cWO50WRmimtc69by3zlwwH3/+ONy0xg7VgJPmzd3911QIO32+2UAGA5LXJKTxjQmRs7D65V9BoPyP0xN1cGfUr8pKoJt2+T/aow8cnJksBadNMHrlZnv6P+VoigNm4MlUKhKMTQY+AxYiWSPA7gPiAWeB1oBucAKa+15EXe6KUB3wABTrLVPHuoYKoYqD6cO0bZtMtvmzErPni1xBl9/Da+8cpC6RCqIlOMgHHYzsjnuaj5feWHSrZs8h0IymzV/viQnWL9e3jsxMCBxbcOHiygqKJD9gOwzLk4y4Dj7LCyETz6BK6+Uzxs3FitTXp7bxpQUET5vvAETJsgg63izyTVuLM9FRXVj5kxRagvp6WKtNUasuLsj9cGduLtwWP6baWn6n1IUxeVgYqjKhrDW2kWIqKmIWRWsfwC4sqraoxwapw5RixYSpBc9QAMZbEbXJXJii5y6Raecojcd5cgJBKRWAdhIkTdDfr4IieJiWaesy5ojdMoGaTruan6/rA+ui5oTVxMTI8sdK1HHjrKOYxUaOBDefBOuvVbWadtWPo+eK+rUCW67TT4vLJRUvTExOvOsKNVNaqpbYPU//5HaQ46VKBSC2FhLaqrRe5KiKEdElVmGqgO1DFUfO3dKEciD1yXS+CHFxbE0BgJOrI8lHBYhERcnfaa42OD1uu5lhYWu33Fc3MEtQ04l+iOJGVq5Es4+W96npcmxAgE5TlGRG4cUDpd3TVNrp6LUXgoLIS/PsnmzYfFiN3GC3y9B5U2aHGwuVlGUhkq1W4aU+kVysus25KTgjrYOffihuvw0ZMJhES/5+bYk7ufAARmMJCVBYaGhsFDWcQp9FheXjm9xrDSBgGSAcoosRltxYmPd9LmTJ4uosVYCpVu2lCQCjnUoKUmsOQkJInT27JHjtWmjcTWKUteJiwOwkQxyJiqDnCU+3nJwxxRFUZTSqBhSjginLhG4dYmcRAutW0vcxMaN4tKUlwddumja3vqIE9+Tl2cpLnayu8kgZPduw549hqys0ts4Gduc/pKUJM9OnI3TR/76V7H0xMSI8HHia9q1c7LJWWJjoWNHQ8uWbtFRJ2lAs2bV9jUoilILiIvz0Lp1mB0Zcm3yeqB1a4vfrzceRVGOHBVDyhHj1CUKh0tnnHv8cRms3nKLW8QVJGNX27YqiOos1hIu3MO+/AT2HoglPt4pYGrIzDTMmSMpngsKRNQUF0tK6GnTSu8mFHJr84CbaMBxoTNGZnmdyvG/+pWs07y5xBVlZ0vfa9PGlMT+tGhRfV+Doii1F7/fQ4dStbnUIqQoytGhYkg5KqLrEjmCqG1bOPfcit3nZs+WyskqiGqecFjiaKJdGUXciGubkwWtsBA8Bny+MKFwMzIzPbzxhlhtrJUaPbfcAnPmuBmdfD75jaNr6jh4vbKe42b53nuSsdCpnL1/vwimE06QBAX5+bK/pk1dK5KiKIqiKEpVoGJIOWqSk0XkjBolg1/HUjR5sgghLc5a+VQkZJwUsmWXgywLh93Ym2AQdu60XH65KRGq8z4twBJLQaGnJFlBQQE8+qgIH5/PS4cOcMUVrvCxViw86emuhccYN5NbWho88QQ895ybGMGJBUpLE6ETHy8ZCK++2s3WVlAgCRCczHCavEBRFEVRlOpA5+uVo8bjEWvP0qWwebMlMb6AtDQRP61by0A42jKwe7cMzJXSBIOwdatk6duxQwRMVpYIja1b3WUZGbBiBQwYIMkEBgyQLGnBoDxHL1+/HlautEyYIJ/n5MCWLbK9I4RAjlFYHE9RsYf0dHFF83jEzW3sWBG1TpVqR/h4vSJWnLTVoZArxho1EsEzc6ZkHrzjDhFoqakifpo2FUHcti2ceCJccolYhMJhiSlKS5M4sw4dVAgpiqIoilJ9qBhSjgmPxym4amjbYhezZ+aSlwd//rMMll95RQbiTZuKhSA3t6ZbXHsoLBSB+O23MGQIXHONFLvNzhbhMnGiCKHSQoZSQmbUKNiyxZZY55zlGzbAqFGGsWPdmj2jR7vWnGicAoWJifJw3NyaNy8tgBzhExMjv2XHjjBlijwkja0kz2jSRMTMggUwfbq8TkkRAdSypYir1FR537EjdO4sfUhdKBVFURRFqSl0DlY5bjyN2tMr5X1Sm3Ugz9eLO+80FRZmbdasfg18nVo6+fkiFhISJLB/1y75rCT+xiPCxFoRBenpsu4VV7juhdnZkgZ69Gh5v2uXxGY5CQnKChmpwG7KLXdET/PmRIqZunE80XFeTvvBjeUJh0sXM92+Hdq3h7feEuHzq19Jooz4eDjpJGlvbKyIoGDQTX+dkCDb1affWlEURVGU+okOV5RKwdPuQlrteIRwMMDYsZIVbPJkmD9fnh9+mHIpl+si4bDU0Nm3D9atg++/h2HDxMXrqafETW3bNrGEbd0qVp5162DoUBgzRkTO5s0iHhxh0rx5ectM9HtHnESTlgZxMcXlljsubDk5YrVxBM4TT8Crr7r7SUuTDG6xsfK6VStZd+ZMEV+vvgrPPiv7SUyUxAYgNXo8HonxMUbEn2Px6dhRvgdnHUVRFEVRlNqOsU4Ecx2kX79+dtmyZTXdDMWhKIedmzPZWdCN4mIZ+Dt1h1q2lHoxqak13cijJxwWcePziRXI45FzWr1asqo5ombVKhE6IFaTn/xEhOBdd8k6b78tsVbbt4sAGT7cXR4bW3qb6PcHy9LXo4cc03GVS0uDjz4Sa9RDD0nsViAgxUZHj3bTnnftKjE+KSlONjnKZ5PzuO+d2CAtpqsoiqIoSl3FGLPcWtuv7HJ1k1Mqj9jmJDffSKjYkpFRutaDMW52sdpOMCjWn1BIrCu5uSLq9u1zz6GoqHwcjtfr1tIpG38D8tpJQLBnj1hhRo8Wq83zz7uWmUcfhfvuc9+PHg333w8vvVRayEQnsiibTe7ll2X7xo3lsWCBnJffL4LUSVLg8bjbKIqiKIqiNDRUDCmViqdVP8z2EAcOeEusJmlpEnNSW42QjuUnGBTXsb17JfGAI1wcS0kw6G7jWIei43BCoYPH3zjubh06iDtZXp7E1vz3v7Ivv1+O3aqVuKd5PCJYvF5XyMTEiAtadLY1J5FFWSpapiiKoiiKopRG3eSUSmfzZsudd0pGs+bNRQRMmwbPPCNCoKopLhZxU1Dg1uLx+8u7e4Gs51iBEhNl23BYBFBcnFhcjHEzqzkuYlu3yn4OHIDx40Xs/PrXMH68JS/PlKvZ49Rfevxx+Q5iY0UcBgJyvIQEdUFTFEVRFEWpKg7mJqdiSKl0tm6VpAHPPy81a5KTJWaoSROxbFQVgYCImZ07xQ3NESLPP0+57HYffijbGONmVUtIkH2AiCOvVz5zMqSFQmKViYuTeKi8PBFLycmOyLK0bWtK6ipVlE3O2U/Z4qmKoiiKoihK1aExQ0q18vzzEveya5e4eG3YIHVlnFiXyiIcluKdxojYyM11a+tMniwCyHmOrsezcaO8btpUhBqIEPL5XItNTIwIq6QkSSe9f788QiGplZOXJ8cKhSQuJyXF4PFUreBTFEVRFEVRKg8VQ0qlEw5LSum8PMrFDbVoIXExx4tT16agwHU1g9K1dZzkBdFJDBycRAdZWfI5iMUnJ0faGBMjlqHmzeU427dLdrfiYjnmrl3ieteuXekYHkVRFEVRFKXuoMM4pdKJjRWRcM45IkLOOAMmTRKBkZ8vwuVorEOBAOzYIeLDWjeWJxiUfTmubCDrBAKlkxdUVHDUSXQwbZq408XFSftiY8X607y5mx2uqEhE0O7dWlBUURRFURSlPqFDOqXSceJgHCH02GMiOrKypCDppk2lM7OVxSlsmpUl6ay/+07c7nJyJBZo/34RJ8XFInycFNh+PyxZIqImunio8xxdcLRLF3lMnAi/+53s13FxS0oSAeQcp3VrLSiqKIqiKIpSH9EECkqVsGMHnHmmxOtMmyYJDD78UDKveb3QqJHF74eCAlMSc+Nke/N4JCObYwkaNgzmzJGCpp06iegBcU9zEiDExYnV5scfYf16OOusI8smt3u3WKucJAma0EBRFEVRFKX+oQkUlGolJQVmz5bU02PHihAaMwYuuEAsLc8/b0rSUjspp8ePh+nToV07Q3GxiJJQSCxMjsuaU5MH5DkYFFGUny9WohNPlIQI+/fL8latRCgdjMqIX1IURVEURVHqJlU2B26MaW+MmWeMWW2MWWWMmRhZfmXkfdgY06/MNr2NMUsin680xhxiGKvUZjwe6NVLiowmJ4vQGT1ahM2kSZCd7dbnmTTJfZ2S4iZBcNzf0tLcgqZOvFFMjIidAwdEEDVr5iZACAZlu7ZtDy2EFEVRFEVRlIZNVVqGgsDd1tqvjTGNgeXGmE+A74HLgb9Gr2yM8QH/Aq6z1n5rjGkBBKqwfUoV4/GIICkuFoHiJDBwsrdFv3deO4VNndTWBQXw1luSiW7cOBFDRUXyaNJE9p+bKw+fT6xMsbHVfKKKoiiKoihKnaTKLEPW2h3W2q8jr/cDq4G21trV1tq1FWxyLvCdtfbbyDa7rbWhqmqfUj14PGLZiY21JQkMcnLEyhP93nkdDksckJPaOhyWWkC33CKiKSlJ4ouaNHFTXBsj28txauY8FUVRFEVRlLpHtYSKG2M6An2BLw6x2omANcZ8ZIz52hhzT3W0Tal6fD5o29by1lsiiJ54QmJ1pkyh5L3z+o9/lHgfj0dc3FJSJLGBMRIXZIxsm5zsZoXr0EFr/SiKoiiKoihHT5UPIY0xjYC3gDuttfsO05bBQH8gH/g0kvXh0zL7uwm4CaBDhw5V02il0vH7PZxySpjPFlqKA4aEBIvXa1iwwM0mt3SpuL81biyWo/37xULUpo2KHUVRFEVRFKXyqdIhpjHGjwih6dbatw+z+jZggbV2V2TbOcCpQCkxZK19BXgFJLV2pTdaqTJ8Pg/tS/SrOeS6TlyRoiiKoiiKolQVVZlNzgCvAquttU8fwSYfAb2NMQmRZArDgB+qqn2KoiiKoiiKojRsqtIyNAi4DlhpjFkRWXYfEAs8D7QCPjDGrLDWnmet3WOMeRr4CrDAHGvtB1XYPkVRFEVRFEVRGjDG2rrraWaMyQbSa7odNURLYFdNN0JRDoH2UaW2o31Uqe1oH1XqAnWln6ZZa1uVXVinxVBDxhizzFrb7/BrKkrNoH1Uqe1oH1VqO9pHlbpAXe+n1ZJaW1EURVEURVEUpbahYkhRFEVRFEVRlAaJiqG6yys13QBFOQzaR5XajvZRpbajfVSpC9TpfqoxQ4qiKIqiKIqiNEjUMqQoiqIoiqIoSoNExVAdwxhzvjFmrTHmR2PMb2u6PUr9xhjT3hgzzxiz2hizyhgzMbK8uTHmE2PM+shzUtQ290b651pjzHlRy08zxqyMfPZcpDAzxphYY8yMyPIvjDEdq/1ElTqPMcZrjPnGGPN+5L32UaXWYIxpZoyZaYxZE7menql9VKlNGGPuitznvzfGvG6MiWsofVTFUB3CGOMFXgR+AnQHrjbGdK/ZVin1nCBwt7W2GzAAuDXS534LfGqt7Qp8GnlP5LOfAj2A84GXIv0W4C/ATUDXyOP8yPKfA3ustScAk4EnquPElHrHRGB11Hvto0pt4lngQ2vtycApSF/VPqrUCowxbYE7gH7W2p6AF+mDDaKPqhiqW5wO/Git3WitLQbeAEbVcJuUeoy1doe19uvI6/3IDbwt0u+mRVabBlwaeT0KeMNaW2St3QT8CJxujGkDNLHWLrESqPiPMts4+5oJjHRmkhTlSDDGtAMuBP4etVj7qFIrMMY0AYYCrwJYa4uttbloH1VqFz4g3hjjAxKADBpIH1UxVLdoC2yNer8tskxRqpyISbsv8AWQYq3dASKYgOTIagfro20jr8suL7WNtTYI7AVaVMlJKPWVZ4B7gHDUMu2jSm2hM5ANTIm4cv7dGJOI9lGllmCt3Q78GdgC7AD2Wms/poH0URVDdYuKFLSmA1SqHGNMI+At4E5r7b5DrVrBMnuI5YfaRlEOizHmIiDLWrv8SDepYJn2UaUq8QGnAn+x1vYF8oi4Gx0E7aNKtRKJBRoFdAJSgURjzLWH2qSCZXW2j6oYqltsA9pHvW+HmDEVpcowxvgRITTdWvt2ZHFmxBxO5DkrsvxgfXRb5HXZ5aW2iZjnmwI5lX8mSj1lEHCJMWYz4jp8ljHmX2gfVWoP24Bt1tovIu9nIuJI+6hSWzgb2GStzbbWBoC3gYE0kD6qYqhu8RXQ1RjTyRgTgwSvvVvDbVLqMRF/3leB1dbap6M+ehcYG3k9FpgdtfynkawxnZDgyS8j5vX9xpgBkX1eX2YbZ1+jgf9ZLYCmHCHW2nutte2stR2Ra+L/rLXXon1UqSVYa3cCW40xJ0UWjQR+QPuoUnvYAgwwxiRE+tZIJEa4QfRRX003QDlyrLVBY8xtwEdIpo/XrLWrarhZSv1mEHAdsNIYsyKy7D7gT8B/jDE/Ry6iVwJYa1cZY/6D3OiDwK3W2lBku18CU4F44L+RB4jY+qcx5kdkluinVXxOSsNA+6hSm7gdmB6ZyNwIjEcmpLWPKjWOtfYLY8xM4Gukz30DvAI0ogH0UVNLRJmiKIqiKIqiKEq1om5yiqIoiqIoiqI0SFQMKYqiKIqiKIrSIFExpCiKoiiKoihKg0TFkKIoiqIoiqIoDRIVQ4qiKIqiKIpSzzDGXGmMWWWMCRtj+h1ivc3GmJXGmBXGmGVRy2dElq2IrLMistxvjJkW2Wa1MebeCvb5rjHm+zLLrjLG/BBp078jy9KMMcsjx1hljJlwrOdljDknsq+VkeezjuR70tTaiqIoSpVjjGkG/Mxa+5IxJhV4zlo7uoqO1QdItdbOqYr9K4qi1DaMMcOBcdbacVGLvwcuB/56BLsYYa3dFb3AWjsmav9PAXsjb68EYq21vYwxCcAPxpjXrbWbI+teDhwo076uwL3AIGvtHmNMcuSjHcBAa22RMaYR8L0x5l1rbQYH52DntQu42FqbYYzpiZSiaXu4E1fLkKIoilIdNANuAbDWZlSVEIrQB7igCvevKIpS67HWrrbWrj3e/UQKqF4FvO7sGkg0xviQekLFwL7Iuo2AXwGPltnNjcCL1to9kbZlRZ6LrbVFkXViidImxpjTjDELIlaej4wxbQ51Xtbab6JE1CogzhgTe7jzUzGkKIqiVAd/ArpEXCHedNwnjDHjjDHvGGPeM8ZsMsbcZoz5lTHmG2PMUmNM88h6XYwxH0Zuip8ZY06OLL/SGPO9MeZbY8zCSFHLR4AxkWONMcacboz5PLLPz40xJx3lsecbY56JbPu9Meb0GvkGFUVRqgYLfBy5vt5UwedDgExr7frI+5lAHmLV2QL82VqbE/nsD8BTQH6ZfZwInGiMWRy5vp7vfGCMaW+M+Q7YCjwRsez4geeB0dba04DXgMeO4pyuAL6JEloHRd3kFEVRlOrgt0BPa20fY0xH4P2oz3oCfYE44EdgkrW2rzFmMnA98AxSDX2CtXa9MeYM4CXgLOBB4Dxr7XZjTDNrbbEx5kGgn7X2NgBjTBNgqLU2aIw5G/gjcqM80mMDJFprBxpjhiI35Z6V/QUpiqIcLcaYLxCLSiOguRPXg1zLPjrC3QyKCJBk4BNjzBpr7cKoz6/GtQoBnA6EgFQgCfjMGDMXaAKcYK29K3Kdj8YHdAWGA+0i2/S01uZaa7cCvSMu1O8YY2YCrZDr7CdimMKLiK/DYozpATwBnHsk66sYUhRFUWqaedba/cB+Y8xe4L3I8pXIDbIRMBB4M3JTBLn5AywGphpj/gO8fZD9NwWmRXzWLeA/0mNHrfc6gLV2oTGmSUR45R7b6SqKolQO1toz4KAxQ0e6j4zIc5YxZhYidhZG9utD4nNOi9rkZ8CH1toAkGWMWQz0A1oApxljNiMaI9kYM99aOxzYBiyNbLPJGLMWEUdfRbfDGLMKsUStBVZZa888mnMxxrQDZgHXW2s3HMk26ianKIqi1DTRbgzhqPdh5IbqAXKttX2iHt0ArLUTgN8B7YEVxpgWFez/D4jo6QlcjFiBjvTYDrbMPsu+VxRFqXMYYxKNMY2d14g1JToL3NnAGmvttqhlW4CzjJAIDIis8xdrbaq1tiMwGFgXEUIA7wAjIsdpibjNbTTGtDPGxEeWJwGDECG0FmhljDkz8pk/YvE51Lk0Az4A7rXWLj7S70DFkKIoilId7AcaH8uG1tp9yEzilSDBvMaYUyKvu1hrv7DWPohkEmpfwbGaAtsjr8cdW/MZEzneYGCvtXbvYdZXFEWpUYwxlxljtgFnAh8YYz6KLE81xjjZNlOARcaYb4EvgQ+stR9G7eanlHaRA3gRccv7HrHsTLHWfneY5nwE7DbG/ADMA35jrd0NdAO+iBx/ARJ/tNJaWwyMBp6IfLYC8RA46HkBtwEnAA8YNyV4MofBWKuTW4qiKErVY6SuRG9gNdDNWtvTGDOO0vE9myPvd0V/ZozpBPwFaIO4ub1hrX3EGPM24mphgE+BOxEf9o8i6z2OzGJOA7KB/wHXWWs7HsWx5wNLgGGIT/wN1tovq+p7UhRFUaoPFUOKoiiKcggiYujX1tplh1tXURRFqVtUmRgyxrwGXARkRfy0neW3I2asIGKKuyeyvDdSPKkJ4qvd31pbeKhjtGzZ0nbs2LFK2q8oiqIoiqIoSv1g+fLlu6y1rcour8psclOBF4B/OAuMMSOAUUDvSKXZ5MhyH/AvxHXh20gAbOBwB+jYsSPLlulEnaIoiqIoiqIoB8cYk17R8ipLoBDJT55TZvEvgT85BZCc6rNI5orvrLXfRpbvttaGqqptiqIoiqIoiqIo1Z1N7kRgiDHmC2PMAmNM/6jl1hjzkTHma2PMPQfbgTHmJmPMMmPMsuzs7GpptKIoitJwCQYhKwt277akp1s2bJDnQCBc001TFEVRjpPqLrrqQ7L8DAD6A/8xxnSOLB8cWZYPfGqMWW6t/bTsDqy1ryCVyOnXr59mf1AURVGOmXBYhE44DI0aQWEhxMWBtbLM55PP/X7Izjbs2gUnnwyBAGRkQEpKmLg4rVKhKIpSV6luMbQNeNtK1oYvjTFhoGVk+QJr7S6ASO7zU5E0qUdFIBBg27ZtFBYeMveC0sCIi4ujXbt2+P3+w6+sKEq9IRiEggIRN4WFEBsLRUUibgIB2L4dHn4YXnkFsrOhWTNZLxQCrxf27oXiYvB4YNcu6N4djJH9BYOGrCxIThYBpSiKotQ9qlsMvQOcBcw3xpwIxCBF8j4C7jHGJADFSC2HycdygG3bttG4cWM6duyIMaZyWq3Uaay17N69m23bttGpU6eabo6iKJVMcTHk5orAAbHoeDwiZkIheZ+bC40bi6BJSJDnmBi47DKYPFkEU3ExHDhQet9FRbKvUAj69YPMTEhKkvfWgrWG/ftlXx41ECmKotQ5qkwMGWNeB4YDLSNVYh8CXgNeM8Z8j4iesREr0R5jzNNIFVsLzLHWfnAsxy0sLFQhpJTCGEOLFi3QGDNFqVuEw7BvH+Tnu65rPh/k5UFcnMUY140tIcEQCoklyBe5sxUXu/sqLnYFj88HmzdD586Qng7Nm4uVyOOR52hCIbEExcSIUGrSRNzj1q+HM8+U9fPzRWAlJlbbV6MoiqJUElUmhqy1Vx/ko2sPsv6/kPTax40KIaUs2icUpfYRCIiFxu8Hr9fi8YglJi5OBMjevbBvn6FRIxFAsbFimWnUCIqKDMGgCCZH4IC8D0fyGgSDIqDAFTrOc2KivE5Lg5wc6NhRlpd1d/vrX+Hmm8XK5Ail9euhf3/Z3u+Xtu7aJW52cXHiNqdWIkVRlLqBXq4rmc2bN9OzZ8/DrxjFmjVr6NOnD3379mXDhg2V2p4LLriA3NzcQ64zdepUMjIyKvW4FTF//nwuuuiiQ66zYsUK5syZU/L+3Xff5U9/+lNVN01RlEogHBZBsHevZF7LypJHerplxw7L7t2WvXtl2b59lvXrLXl5IjICAcOuXQav1xAIGDIz5XnzZic+Ryw7zvviYlkWLXACAbHkOK99PhErfr+0Lfo5L08sSlOmwLRpEB8v1p9GjdzX8fHw05+KIHKsUIEAnHWWtCEzEyZOFHE0cSJs2gT798vy9HTYsAG2bpV2KoqiKLWT6o4Zqn3YMBRmQbgIPLEQlwymejXiO++8w6hRo3j44YePaH1rLdZaPEcw9RgtLA7G1KlT6dmzJ6mpqUd0fIBgMIjPV/ndZ8WKFSxbtowLLrgAgEsuuYRLLrmk0o+jKPWZcCjM7t0hAkEfxcUiABISDC1aiAXD45HBfUGBDNT9fkhNda0rwaCImnBJ5mhLIBDZT0w+LWPXsyuvDUXBWBJiC/D6YrExzcjONjRtaigshOJig7USqzNjBtx+u1hXnNgeR9h06+a6s0XH7GRmQkqKWHAci0woVPo9uIkQHIuOEy8EImYcARQMyvtgUIROx46utemmm0S0dO7s7svJJnfCCXDbbdK2Zs2kfQUFst7o0RJv9PzzcN99sr9XXoExY+Sz1q3hL3+R87YW9ztMUOuRoiiVQzgUJjc3jPF42bfPiZcUb5jiYrn+gFx7YmPl2hMKybXM64U9e9wYS2dyyeeTbUMhuV61aCHrReNcS51jhELyPi9P9hEOy3WvLljLa3HTqgEbhtyV8PEAmN1RnnNXyvLjIBgMMnbsWHr37s3o0aPJz88HYPny5QwbNozTTjuN8847jx07djBnzhyeeeYZ/v73vzNixAgAnn76aXr27EnPnj155plnALE4devWjVtuuYVTTz2VrVu38uSTT9K/f3969+7NQw89VGFbOnbsyK5du0q2v/HGG+nRowfnnnsuBQUFzJw5k2XLlnHNNdfQp08fCgoKKmwnwPDhw7nvvvsYNmwYzz77LOPGjWPChAkMGTKEE088kffffx+QuK3x48fTq1cv+vbty7x588q168svv2TgwIH07duXgQMHsnbtWoqLi3nwwQeZMWMGffr0YcaMGUydOpXbbrsNgPT0dEaOHEnv3r0ZOXIkW7ZsAWDcuHHccccdDBw4kM6dOzNz5szj+v0UpS4TCIRZt96wOd3P2rWG4cMNXboYnnpKLBg5OWK92LIFhg2Twf7QofDdt5bglvcJ/vg669eF2bZNYmMyMmDdOnc/E25L5NstvRkwPIUx1zYja18bcvKas3evh40bTYnFprjYFQzjx8uN0onZcaw3iYmlLTnRFp6sLLnB5uU5bnSuRcex9ni9csONiXEfPp/7OhSS8/X5oFUr+X5atpTt2rSBtm1FBHbvLkkRiork8yZNoGlTWda0qbjSdekiA4KUFDk/j8eNNxo7VkTm+PHycITQ3/8u7di+Hdatg+HDZT8DBshvkZ0t+9ixQ34PtSQpinKkhMOQk2NJ32IoKvaxcaNh4kTDjh2G7dth7Vq480659gwZIhNAAwbINX3XLtnesWrv2CHrO6/XrJH7Q5cu8NRTcn3at899ZGdLrGRWloikXbvkfXq67GPdOtm+Uyc55sqV0ZNrtY/6LYaW3wlzhx/8kTkPFo6CvHRZPy9d3mfOO/g2y+887GHXrl3LTTfdxHfffUeTJk146aWXCAQC3H777cycOZPly5dzww03cP/993PBBRcwYcIE7rrrLubNm8fy5cuZMmUKX3zxBUuXLuVvf/sb33zzTcl+r7/+er755hvWrl3L+vXr+fLLL1mxYgXLly9n4cKFh2zX+vXrufXWW1m1ahXNmjXjrbfeYvTo0fTr14/p06ezYsUKfD5fhe10yM3NZcGCBdx9992AiLQFCxbwwQcfMGHCBAoLC3nxxRcBWLlyJa+//jpjx44tl+r85JNPZuHChXzzzTc88sgj3HfffcTExPDII48wZswYVqxYwZgxY0ptc9ttt3H99dfz3Xffcc0113DHHXeUfLZjxw4WLVrE+++/z29/+9vD/kaKUt9wMqalpxs2bjRkZ8vAPD1yeRs/XiwxjuAYPdr9LD0dLr/C8GPeT/gxMIZNmz1kZ1PyiN7P2LFwxRUe0tNh0iR3f8XFrtUmFJLljmBwZg0dwRMKucLGETnRLmx+v7iuhUJyA3dc1OLj3feO8CkocIVRXJy4ucXEyOu4OBErublyHgUFso/kZBE6qakiiDp2FKtQ69aHn72Mi3Pb6sQbJSfLuTvn6nw3zuuy32Hr1jKg+P57eOEFEUvvvCP7CIdlvS1bVBQpiiIEAu6EyY4dIkLWrYOcHENhoUxCXXGFOzHjXHPGjoWf/7z0td65Xh84UHobZ33ndfS9w5ncch7Otc65pzjvnf2VPeaoUdLm2krDdpPzNXKFkENeuiw/Dtq3b8+gQYMAuPbaa3nuuec4//zz+f777znnnHMACIVCtGnTpty2ixYt4rLLLiMxkpbo8ssv57PPPuOSSy4hLS2NAQMGAPDxxx/z8ccf07dvXwAOHDjA+vXrGTp06EHb1alTJ/r06QPAaaedxubNm8uts3bt2kO2s6xAueqqq/B4PHTt2pXOnTuzZs0aFi1axO233w6I6ElLS2PdunWlttu7dy9jx45l/fr1GGMIlE3hVAFLlizh7bffBuC6667jnnvuKfns0ksvxePx0L17dzIzMw+7L0WpTwSD8OOPToIBU5LVLD3q8ub1ukkDyn7mvPf6PFhrymVFi163eXP3ffPm7v6Mca024bDrypaW5rpPOMIpJkaESceO8llcnLQvGBQxA/DAA/DrX8Njj4nocVzX2rZ13dvi4sSFo6hIZiUdl46UlNKiJinpmL/aCklNlYHJzJnw6KPwxBMySHHONS3N/W4q+i0mTZLByi23wJw5MHcuXHih627iuNRlZIgFS8ujKUr9Jrr4s1PjzCkL0LSpXF+uuEImUh5/XK6fIJM4znXVsVQ7OO/LXutDIXlEr1PRawfHzS4ax6rv3FOc9wc7Znq6XKdrK/VbDJ32zKE/L9gJiWmlBVFimjzOnn/Mhy2bucwYg7WWHj16sGTJkkNua53URxWQGDVCsdZy7733cvPNNx9xu2JjY0tee71eCpx/U5njH6qdiWVGSQc718PxwAMPMGLECGbNmsXmzZsZPnz4EZxBaaKPHX1uR3J8RakvBIPiWrVxo7g0ZGWJUAAZlDs3pVBIRITjqhD9mfM+Lk7+U3l5pY8RvW5OjvvesYoA7N4trmgxMa4vubUiGKZMkZihuDj5LNq9zbG0eL3iouZkk+vaFZ591k2S0Ly5GxfUtGkVfJFHgc8HHTqIcHv2WTmPzp3lPKdMkXN2BjbOdxn9HUYPOLxeuPhiObc9e9wkDkVFriBKTVVBpCj1CUf8FBXJBE5GBjz0kFwnn39enh3rysaNIoTS0yVGcfx4sZyDa2mPi3Mt1dHX/+jrtYPX604WRW9T9nX0vaNsQl7Hqu/cU5z3BztmWprbrtpI/XaTOxxxyTB0togfkOehs2X5cbBly5YSMfH6668zePBgTjrpJLKzs0uWBwIBVq1aVW7boUOH8s4775Cfn09eXh6zZs1iyJAh5dY777zzeO211zgQiTbevn07Wcdog2zcuDH79+8HOOJ2Orz55puEw2E2bNjAxo0bOemkkxg6dCjTp08HYN26dWzZsoWTTjqp1HZ79+6lbdu2gCRwqKgtZRk4cCBvvPEGANOnT2fw4MHHdL6KUl9whFBRkTszN22aiIpWrWRgnha5vE2ZIpYYxxVt5kz3s7Q0ePttsUK0aSN+3q1auY/o/UybJuumpYlFxNmfY33ZsEHa0qyZxN506CAJCKIFT1ycWG8SEuQc9u6FwkIpipqcLNs1aeLG6ohQq+5v99D4fNLWtDT5zk48EXr2lHNt2xb69oXYWEtaWvnvMC9PHo4lKRQSq5CT2MIZqDjzOnv2qMucotQXgkH47juJpenYUcTOqFGue1lZNzPH4gKu1SUnx82I6UwsvfVW+ev/tGnw6qulr/V+vzvpEr2Ns77zOvreERPjujD7/e61y7mnOO+d/ZU95uzZ7sRZbaR+W4YOh/FAs15w7tJKzSbXrVs3pk2bxs0330zXrl355S9/SUxMDDNnzuSOO+5g7969BINB7rzzTnr06FFq21NPPZVx48Zx+umnA/CLX/yCvn37lnNpO/fcc1m9ejVnnnkmAI0aNeJf//oXycfQ25xECPHx8SxZsuSI2ulw0kknMWzYMDIzM3n55ZeJi4vjlltuYcKECfTq1Qufz8fUqVNLWW4A7rnnHsaOHcvTTz/NWWedVbJ8xIgR/OlPf6JPnz7ce++9pbZ57rnnuOGGG3jyySdp1aoVU6ZMOepzVZT6QjjsCiGPR26M778Pv/uduG5NnCjWivnzbYXZ5Jo0gQULKs4m17Vr2WxyMH++mwmtZUtYutSd1XRc3JzECXv2VOyuVp/xeNwkDQ7hsCF3T5jCIrDWlHyHjRsbcnJcS9Jtt4kVKD5eBiibN5cu6gryXVdBAk9FUaoBxxIUGyvxgpde6gqcFi1Ku5eVdTNzLC6OCHImop57TiZP8vPlutupk1iqPR5bkk3umWdk+88+qzibnGOBd7LJOa99Prk/HC6bXLNmpbPJNWvm7mPBAlnPOWZtvheYuuxS1K9fP7ts2bJSy1avXk23bt1qqEUNi3HjxnHRRRcxevTomm7KEaF9Q6lP7NghFhWPx73JHjggMSjjx7tZ1dq2VRerWsH2D2DpWAgVQv+/EE67jt27ZSDTpIkMkAIB+a2WLIHevUUcOfEAfr+Iy9pmIVMU5eC4iW1EkESqhtC1q7vOxo0wYoS4wN11l/vsCKI//AF+8pPSMUPjx8vrP/9ZRJCm7T8yjDHLrbX9yi7XeSZFUZQ6RjAog+hoIQQyYL7xRtd1rV07tSbUGtpeCD9ZAZ9fA0uux7PzU1r1ewFaScaI+HiprRQISKrzYFDErccjnwUCbu0lFUSKUvsJBMRt2OeDyy6DefPcGMDomJpwWCzEzz4r7mXPPy/Pjqvc3/8O467PY+GCOAJBDwkJhiVLxCJTF6wudQG9TSrHTHSsj6IoVU84LIkKnGJ5O3a4QqioSG6KjitE+/YqhGodCe3grE/h+z/IY/cXMGgGJPUuiaPKzJRBjlMryUkjDiqIFKW247jD+f1i7d24UdyV09PFjSwrS2IMp0xx01e//LK8vukmcTN7/HFITLQsXBDEFmQTG9pGcngLng6Xgccctg3K0aNaUlEUpZYTDksMz7ffwg8/iPDx+1UI1Uk8Puj9MJw1F4pz4aPTYf3LYG2JIHISKjRqJL+zkzbcSS++fbsI4dpcxFBRGhqBgFyjJ0yQwtZOYhuPRyxBXq8kF8jPl+v1Sy9JLOaIEZI8pmdPaNbM0ighQGrmJDosjiEt93e07tIRT8fR4Kkgx7VSKagYUhRFqcWEw1K9+4cfxNXCcYnIynJr7DhCKCZGsrqpEKoDtD4LLvgWUobDV7+ERVdBcS5xceIWFwrJbxsTI5n2du+WwZQxIoiKi2WZCiJFqR7CYdi5U669TgHUrVvd9P/btsk1euxYWeYktsnKEkvQe+9J/bTf/U4EUffu4srcs6dYizo0W0uX9PNovzgG365P4JzFMOC1485wrBwevWUqiqLUIqLrT8TGysB31Cj473/dujROnFBMjGT5sVYexkgwvlJHiEuG4XNg9Z/h2/sgZxkMmkHr1qezfbsIHpDfvXdviTeIzjKXny+CuGyRXEVRjo6y192WLSV7mmOVbdxY/n//+heMGQOjR8v/Mi1NktY4E1NONjifT8SRk2EyNhZOOMHNtuaIpbZtwW/y4PtHYc1T4E2A056HrhPEiqxUC2oZUhRFqSWUrT8xYIDcjB0RlJYmLlKOe9yePbLcWnGhat9eA2nrHMYD3e+Bsz8DLHwyCM/ap2jTJozPJ33CqSG1fj307+/W/AgEJFV6YWFNn4Si1E2CQRFB337rXncnTJD/2vffw7BhUuvsq69kUmr8eFcIgTxv3uyWOHCKju7Z49ZeKyoSUeQks42JkQxwHdpb/Dvegve7wQ9/go7XwEVr4aTbVAhVM3rbrEbefPNNunXrxogRI5g/fz6ff/75UW2/bNky7rjjjkOuk5uby0svvXQ8zTxixo0bx8yZMw+5ztSpU8nIyCh5/4tf/IIffvihqpumKHUOp4BqdP2JsiLIyThkrcYJ1TtanQk/+QbaXgzf/BrfootJTcnD5xNXm0AAzjpLY4gU5XhwXN0yMsTNdN06ES6XXeZed8eOhU2b3AQHIBMSzvU4ugaQ85mTHMEpXOrUB2vRQqw/jiXIKdLsObAO5p0Pi0ZDTBKcswgGTIH4lOr7MpQSqkwMGWNeM8ZkGWO+L7P8dmPMWmPMKmPM/5X5rIMx5oAx5tdV1a6yOH+M9HR5rsqbyauvvspLL73EvHnzjkkM9evXj+eee+6Q6xyLGLLWEq6iEy8rhv7+97/TvXv3495vUMuxK/UIRwg5bhbR+P2uCEpMlIxDXq/cZD0ecbtIS1MhVC+ISYIhb0G/F2DnXPz/PZE2zXbQsaP0g4KC0jFETpyY1ysCaft26UuKorgEAjJZsH07rFghlp9t2yTb2+bNYl2Nvu42b+6KHwen2GkoJM/R5OXJNTopSZKeONdop06YtbK8fXvwkQff3g9zesLupXDas3D+cmg1qDq+CuUgVKVlaCpwfvQCY8wIYBTQ21rbA/hzmW0mA/+twjaVwglMjnZJWbny+AXRpZdeymmnnUaPHj145ZVXAHjkkUdYtGgREyZM4Morr+Tll19m8uTJ9OnTh88++4zs7GyuuOIK+vfvT//+/Vm8eHG5/c6fP5+LLroIgN///vfccMMNDB8+nM6dO5eIpN/+9rds2LCBPn368Jvf/AaAJ598kv79+9O7d28eeughADZv3ky3bt245ZZbOPXUU9m6dSuNGjXi7rvv5tRTT2XkyJFkZ2cDsGLFCgYMGEDv3r257LLL2FO2DHHk/Pr370/Pnj256aabsNYyc+ZMli1bxjXXXEOfPn0oKChg+PDhOIVyX3/9dXr16kXPnj2ZNGlSyb4aNWrE/fffzymnnMKAAQPIzMwExBL1q1/9ihEjRpRaX1HqIk6GuIwMVwg5M4fRZGWJBci5wXbqBE2big97585SeE9d4+oRxsCJt8K5S8GXSMycdpyYOJukJEsw6Armli0lxbrjKunzyWfbt7uz0orSUAkGRQDt2iUub2vWiCvc5ZeL5WfXLonJS0yUa2z0dTcnRwRO9LInnhDBM2UKzJzpfpaWJtfka6+FqVNFSHXvLpNU8fHQoUPkOp1i8WyfBe93h1V/hLSrIy5xd6hLXG3AWltlD6Aj8H3U+/8AZx9k3UuBJ4HfA78+kv2fdtpptiw//PBDyeuJE60dNuzgj7lzrU1Lc0KP5ZGWJssPts3EieUOWY7du3dba63Nz8+3PXr0sLt27bLWWjts2DD71VdfWWutfeihh+yTTz5Zss3VV19tP/vsM2uttenp6fbkk08ut9958+bZCy+8sGT7M8880xYWFtrs7GzbvHlzW1xcbDdt2mR79OhRss1HH31kb7zxRhsOh20oFLIXXnihXbBggd20aZM1xtglS5aUrAvYf/3rX9Zaax9++GF76623Wmut7dWrl50/f7611toHHnjATox8CWPHjrVvvvlmqXO21tprr73Wvvvuu+XOOfr99u3bbfv27W1WVpYNBAJ2xIgRdtasWSXtcLb/zW9+Y//whz+UHO/CCy+0wWDw8D9CBUT3DUWpbkIha7OyrN282dotW6xdvdra//3P2vnz5fXatdZ+9pksc65LaWnWfvmltRs3WvvDD9auWSPPGzfK/pR6TvE+axdfa+10rJ07wqanh+2PP0qf2bzZ2q+/tnb9emvT063dsUOW/fijPBcV1XTjFaVmKC62dtUquZZu3GjtBx/ItXT+fLmuzp8vj1Wr5LNRo0qPB0eNcrePvhavWSP/s8xM+c/9+KNcywMBuR47/8EdO8pcn/eus/Z/58v/+INe1mYurIFvRbHWWmCZrUBPVLccPREYYox5DCiMiJ6vjDGJwCTgHOCQLnLGmJuAmwA6dOhwXI1p1Ki8S0p6uiw/Hp577jlmzZoFwNatW1m/fj0tWrQ45DZz584tFUuzb98+9u/fT+PGjQ+6zYUXXkhsbCyxsbEkJyeXWFCi+fjjj/n444/p27cvAAcOHGD9+vV06NCBtLQ0BgwYULKux+NhzJgxAFx77bVcfvnl7N27l9zcXIYNGwbA2LFjufLKK8sdZ968efzf//0f+fn55OTk0KNHDy6++OKDtv2rr75i+PDhtIqkWrnmmmtYuHAhl156KTExMSUWsNNOO41PPvmkZLsrr7wSr1dz7Su1H6dAan6+m2J1xw7xQ588WeJ8brlFssQ5qbJjY+Xx0ksyY5mXJxag9u1lJtPJdKQVxxsI/sZw5j+g9Uj46lZSG9/N9pSnyMszBALilhMbK31s/36Z6U5OFsvQ1q2S4SolRfuK0nAIh8XavnmzXF/nznVd3hxXt5wc+d+8/z6MGwcTJ4ob8uTJ8v9p3VosOq1awYIF4hqXkHD4627r1mUWBPPFCrT6SfDGwanPiNVXLUG1jur+RXxAEjAA6A/8xxjTGXgYmGytPWDMoavrWmtfAV4B6Nevnz3Uus88c+jG7Nwpf4xoQZSWJo/58w+97cGYP38+c+fOZcmSJSQkJDB8+HAKjyDVTzgcZsmSJcTHxx/xsWKdlFKA1+utMI7GWsu9997LzTffXGr55s2bSTxMPtbD/RYOhYWF3HLLLSxbtoz27dvz+9///rDnLAK9Yvx+f8mxy57X4dqsKLWBcFhcMzIyyosfJ/UqlE+VDSJ4TjihfGKEcjdapWFgDHQeBy3OwLd4DG2a/oO8jtfj94sgMkYeIPFD69ZJn3v2WejTBzZulHij1q3dPqYo9ZXMTJkMiE544Li8PfEEvPoqPP883HcfXHCBuLZNmCDjRUf0OBMITlrso8Za2DYbvr4T8tKh43XQ9/8gXi/itZXqni/aBrwdsVZ9CYSBlsAZwP8ZYzYDdwL3GWNuq+rGJCfD7NmlfT9nz5blx8revXtJSkoiISGBNWvWsHTp0grXa9y4Mfv37y95f+655/LCCy+UvF+xYsUxHb/sfs877zxee+01Dhw4AMD27dvJysqqcNtwOFySHe7f//43gwcPpmnTpiQlJfHZZ58B8M9//rPESuTgCJ+WLVty4MCBUhnmyrbH4YwzzmDBggXs2rWLUCjE66+/Xm6/ilJXycyUgnxONqKyAbnRPunRqbI1Q5xyUJp2g3O/IGbvUk7MvYlmTQP4/bZEEHk80r8cIdSuncx4b90qm+/aJbPlGzdWfbIgRakJiorESur3u9fX6dMlJnzKFOn3998v8ZcpKXDyyXDbbfL/iYuT2J82bY7Tkrr/R5h/IXx2Gfgaw9kLYOA/VAjVcqr7NvsOcBYw3xhzIhAD7LLWDnFWMMb8Hjhgrf3/9u47Tq663v/46zNla9qm7m4SNglNSiJqRBDpqBT5cTHxBssVkCtyEcSrXgtXbCDIFaRZ0CvEWC5FQJEmopCoCGiUEkKASMimbLIlm7pt2vf3x2dOZjakQra/n4/HPGbmzMyZM5uTmfM5n8/38/3udtewF8ViMH06PPnk3is/Ofnkk7n55puZMWMGBx54YLcytGKnn346s2fP5t577+Wmm27ixhtv5JOf/CQzZswgk8lwzDHHcPPNN+/x+48ZM4ajjjqKQw89lFNOOYVvf/vbLFmyhCOPPBLw5gQ///nPt1tqVllZyeLFi3nb297GyJEjueOOOwCYN28eF1xwAe3t7UybNo25c+d2e92oUaP4+Mc/zvTp05kyZQpvf/vbtz52zjnncMEFF1BeXs4TTzyxdXlNTQ1XXXUVxx9/PCEETj31VM4444w9/rwi/Uku5x2K2ttfG/yUlhYy0VdfDTfeWOgSd+mlhRInBUKyQ4lyOPwHJFb8kpGPjKX0qN/RyOGk00YsVtjnDjvMA6FLL/UDvaYmP+M9erTvZ1u2+G9eTY1nk0QGulTKg514vNCIZu5cPzkAXg43f/5rsz97Tabd5wp64WqIlcJbr8uXxCX34ptIT7GdlSu9oRWb3QYch2d+GoGvAj8DbgUOA1L4mKFHt3nd1/BgaNtOc68xc+bMEHUmiyxZsoSDopmtZI8MGzZsawZpMNK+IT0ll4MNG7qXuy1ZUiiLe8c7PPhpaytki844A266KZDLpInFA4Q4ORIaEyS7Z8sy+PNZdB34VdbYqXR0GK++WhgnsWhRYV+sqfFW7M3N8Pjj3lErk/EDw/JydSSUgS2d9pLkdNoDnfXrfd+PxfxkQDbrJ5YmTvSs0V4VAqz+Dfz9knxJ3IfhLd+G8pq9/EayN5jZ30MIM7dd3mPnHUMIH9zBQx/Zxeu+tve3RkRk78tk/ABzwwb/4V22zGcrTyS83jw6M/nUU3DllV6rvnVAbskWxr84i9jGp+HY38DY7WeRRbZr2DR4958pffZSaitbWF32UerqjLlz/YBv/PjCnENVVb7PPf44nHSSnz3PZv04Lp32Rh/RvFUiA0lXlwdCUcCzaZMHQJs3+36fyfj/h6qqHgiENr8Cf/8UNDwIIw+BE+fDBJX7D0QqwpCtBnNWSGRvy2Tguee8NAN87p9oJvIf/9jLMrq64He/K5S+VVfnf5CX/x/8+VwYNhXe+6Qf2IrsqXgJvPUaSlY/QN2Lp7Bh/+9TVTWVigpvrvDyy/60KCg6/XTf/xoaumeINm3yoEgZIhlIUinv0NnV5RnO1lYv+ywt9fuZjAf+8fgb7xLcTaajqCQuCW+5Fg68WCVxA5i+9kRE9lDUvvX97/cAKJq4L5qJfM6cwgR84INzJ06EZCLA81fAXz4MY4+Ed/9FgZC8cRNPI3bkjxn98rnUzo8xask5TJqUYdo0z1AmEoVsUHGGaM0a6Oz0A8dUCl591ZepuYL0d7lcIRCKxQpBEHQP6GOxvRzkr7oPHjgEnv8GTJ7lE6ce9BkFQgPcoAyGemoclAxc2idkb8lk/Ix7Ol2Yu6KtDebNg7FjvV3rHXd4eVwi4T/SEydCSTwFT50Hz10GUz4Cxz8MpaP7+uPIYFExCU74Axz6FXj1p5T9/lAOqPknU6b4XFWJhGeF0mnPELW2eulQLuf7tJmXzaVSHtgrIJL+LGqhnc36/tra6tmfkSM98Mnl/Lu3tnYvNaLZsgzmnw5//H/eyOTEx+CoX0BF7V5YufS1QRcMlZWVsW7dOh38ylYhBNatW0dZWVlfb4oMcNFklsuW+Q9sNHfF2LHevevKK/1555/vZymHD/fJ+5JhA8w/BZbN9YPVI38KcU36IntZLAEzvg4n/B5SG4k9dCjjNtzMmNGBmprCuIls1scUxeOeFWpuhhdfLARLXV3Q0dHXH0Zk+3K5QgvtuXN9v25v97FvmYxfEglvHPKGxwllOmDR1+H+g6FpPrzlGjjlGZhw3Bv/INJv9Fg3ud6wvW5y6XSaVatW7dZEpzJ0lJWVMWnSJJJ7fQSlDBWpFKxY4T+0jY0wbZpfz57tZRjXXONzu+Ry28xW3lYP80+FzUvh8P+FaWf39UeRoaCzCZ74KKx5GCbPhnf8L5SMorPT99uOjkK26MUXPaBfuhSOPNIDomTS2w/rHJL0N1F5XGmplyvffrtPnBqVgpaV7YX5ggBW3w8LPwVtr0LdWR4IVUzcK59B+saOuskNumBIRGRvy2Rg1SqfIHXcOPjnP+Gxx+ATn/ADx+KyjLq6orKMdQthwfsg2wnH/AomHN+nn0OGmJCDJdfAs5dCxWQ46g4YezidnX5ACX7wmEzCE0/AjBm+L48Y4cG/Wm9Lf5LLeZe4lhbfL9ev9+x7NBYuHi9khN5QadyWV71V9ur7YMRB8Pbv6bt7kNhRMKSvNxGRnYiaJXR1eW16U5MHRKeeCj/8oY+zMPMf5332KfoRXnUv/P4YiJfDe57Qj6n0PovBwZ+Hk/4EBHjkKFhyLWWlua1zrkSlcccc48H8tmOI0mmNIZK+F30PNzcXgh4zL40z8+fEYj5m6HUHQtlOWPQNeOBgaHzU5ws65Rl9dw8BCoZERLYjl/NBuVGzhGzWmySUlPjjySR8/OP+A5xMeonc1irMF2+AP54Jo6bDe56EkZrsV/rQuCPhlKdh4unw9OdgwemU5FqorfX5hZJJzwRpDJH0V1HDhMZG/w5ubvaxQqNHF7KbJSVeovy6rH4QHjgUFn0VJp4B73sRDvqct6+XQU/BkIjINqI5WpqbC80S5s6FL3/ZmyRs2eLjKeJxPxO5tTQul/Ua8398Gib9i3ccKp/Qx59GBCipgqPvhpnfhbW/h4feTKx5AcOG+b4clRrFYl6GtN9+hUA/nfZlGoorfaW9vdA5zswva9d69jIa7VFR8TqyQluWwx//BRac5u2xT/g9vOt2784oQ4aCIRGRIpmMN0pYtswPACsr/aBwzhxvmX3llWwtMRo9umigbnoL/OlMePkmeNNn4F2/hMTrPU0p0gPM4IBPerYyUQmPngCLvk5ZSZbycg/u02l4y1v8ALOry8+2RwFRY6MvE+lNXV2FyVPnzfPSuGHDYNSowsSqsZh/V++2bKfP+fbAQX5y4LCr4ZRnofrEnvoY0o8pGBIRKdLQ4GcciydSvfFG/+H92Me6T145fHj+RR1r4PfHQsMDfub9rddCLN6XH0Nkx0a/BU7+O9R9CBZ9DR57N9WjmreOIero8E5dJSU+SL2joxAQrV2rDJH0nkzG97mSEv/Ovewyz9A3NhYyRPH4HjZNaHjIS+Keu8xLR09b4mPrVBI3ZCkYEhHJy2QKA8a3nUh1h80SNiyCh98Bm1+CY37jZ95F+rvkcJ/v6oi50PIUsYcOobbkCcaM8f8HuZyfbS8p8RMD0XiiELyr4po1aqogPa+hodDqPZXyffGGGzwrb+bNbLo1rtmZLct9LOf8U31OrhMegXfdCZWTe/pjSD+nYEhEBD+wW7nSf1SjIGinE6kmgTWPwCPvgpDxjl0TT+vTzyCyR8xg2jlw8kIoryb2+3cybOnnSSYD6bQHRSNHejvjNWv8zHzUZS6VUpc56VnpdCEQuu02/+4tLS1MZxCLeYC+S9kueP6b3iVuze/gsG/BKc9B9Uk9/hlkYFAwJCJCYTxEWVmhUQLAt7/twU95OUydWjRG6JVb/AxjZR285ykvPRIZiEYe5PvwfhfAkm9Tu/5bJJOBbNYHri9f7icHmpvh3nt9vAZ49nTVKg+aRPa2hgY/OdXRAUcdBb/6VeGxWMxLl3c5j3rDw/mSuC9D7WneJe7gL6gkTrpRMCQiQ14u5wd9sZj/AI8aBVddBbW1fqAXgncqisXwiSyfuRSe+ncfbPvuP6vMQga+RDkc/gN4150kXv4WNanbSSYDmUyhicjjj8Npp3k3xVjMD1RTKS+bS6X6+gPIYBJlJsvLPSM5ciScfnphctV4fBcNE9pWwJ9mwfyTfb6t4x+Go3+p72rZrh4LhszsVjNrMrPnt1l+sZm9ZGaLzex/8svebWZ/N7NF+esTemq7RES21djoP65NTf4DvG3HrHjcAySynfD4h+CFq2C/8+HY+yA5oi82WaRn7PMBOOVpSl65jpr13yKRCLS1+cHp6acX5tnatMnn4YqaiKxc6V0YlSWSNyqTKWSFHn3Us/WxoqPVaKxQbHtHsNkuWHwV3P8maPgtvPkqOPU5qHlPr22/DDw9mRn6CXBy8QIzOx44A5gRQjgEuCb/UAtweghhOnA28LMe3C4Rka1SKc8KJZNejw7eQSse94xQWRlMngyxVAs8ehKsuMPbsL79Zp+XQmSwGTYN3v1nktl11HT+lClTAsmkn5WPGiuAB0ItLV7GVJwlUvtteb2iOd4yGc/G778//O1v/n2cy/n39Jgxhe/qbtb8Dh6cDs9eCrWnwvuWwCFfhPj2nixS0GPBUAjhj0DrNov/A/hWCKEr/5ym/PXTIYSG/HMWA2Vmpr1XRHpUOu1nIGMxzwpVVPiB3Pjx/sNbUuKznCfal8LvjoR1C7370MGf99OTIoNVvATeeg0lw8ayf+5GRo3MbG2sYFYYwF5a6v9XOjr8/08IPo6ooUHNFWT35HLePrupyfeb5cs9uL7tNv8ufsc7ujdNKCvbZgVtK+BPs+Gx9/r9434LR98Flfv09keRAaq3xwwdABxtZk+Z2QIze/t2njMLeDoKmERE9rZczkt8Gho8+MnlCuU9Y8YUZjU3gxHZZ+GRIyG9AU581MuIRIaKiaeRnDaLkQtPZELpc1sbK8Ri/v+jrMxPGkT/h6Juc1GLegVEsjOpFDz7LFxwgZdeptM+FmjYsO03TRg5sqhpQjYFi78F9x8EDQ/Cm78Jpy6C2vf2yWeRgau3g6EEUAUcAfwXcKdZ4fSqmR0CXA18YkcrMLPzzWyhmS1sbm7u6e0VkUEml4OlS70zVjrtpT833+xntbctj5s0fDGxRw6HkjHwnidh3Dv7evNFel/FJDjhD5Q13UN17iESiUAu5/93MpnCHETNzfDii4UJWru6PGMksj1dXT7O7Mwz4eyzfV9KJr1L4SOPeFaouGlCt6zQmkfgoRnw7Jeg5r35krhLVRInr0tvB0OrgHuC+yuQA8YCmNkk4FfAR0MIr+xoBSGEH4UQZoYQZo4bN65XNlpEBo/GRnjlFR/rkEjA3LkwZw785Cc+kR9AWVlgYuWzJH93KIx5B7znLzB83z7dbpE+FUvAjK9TWl7GxC3fpawskEj4gWqUKWpp8fF1HR2FgKilBTo7+3rjpb/JZLw0rrER6uv9uzcqg6urgwkTvHthlIGMxTw4KkmvhD99AB57D+SycNyDcMw9PsWByOvU28HQr4ETAMzsAKAEaDGzUcADwJdCCI/38jaJyBARNUuorPQSnvXrPRC64w4491wPjkpKoGr4Jkp+fxjUfchnKS8d09ebLtI/VJ9Acr851LV8hlGlK0kmA/G4Bz7TpxdK5oo7za1erU5z0l1DQ6GUsq7O95emJi+VKy31ZdFYoXgcamsylL5ydb5L3AMw4wo4bRHUntLXH0UGgZ5srX0b8ARwoJmtMrPzgFuBafl227cDZ4cQAnARsB9wmZk9k7+M76ltE5GhJ2rXGot5Gca8ef5DW14OH/uY/+BmsxCynQz/28lw6GXwzp+r7EJkW2Xjic28llHrb6N21QUkk1mSST/ZUFbmZabDh3sZVDQnTNSsJJ3u642XvpZO+yWZ9O/hW27x65ISP1m1ebN/T2ez/pyJo14l+bvp8MwXvUX2aS/Aof8N8W07KYi8PuaxyMA0c+bMsHDhwr7eDBEZAFasKLQAbm31iSNvuAEuuQQmTYJYLFDBKiYs/SCx/c+Dfc/t600W6f+anyC3+H9of8vPaGypJB43Ojp8Xq716/0Ad9gwD4wyGf//V1tbNAhehpRMxjOF4PtGQwNcfrmPGZo61ecPymQ8EKooSzG+8RvElnwThu0Lb7sRJp7atx9ABjQz+3sIYeZrlisYEpHBLp32YKiry8cInXOOH6hFLbRLSwOT2r5LcsllcPTdUH1iX2+yyMCRWg9PnkfDtNvo6Colk/EMUTR2KJn0M/3RQW4yCTU1CoiGklzOS+AaGrwMrrLST0iVlBTGncXjHizXVGdILL0Onv86hCwcfCkc/F/KBMkbtqNgqLfHDImI9Kri2cx32Cwh9X8kX7nWGyUoEBLZMyVVcPTdVGfuI5n0TnNRCWpFhR/0Ll0KTz7py3I5PzmxZo1abw920fixl1+GDRsKcwjdeac3RoiaI2xtkjCymcTDM+CZz8OEE70kbvplCoSkRykYEpFBK5eDlSsLE/Ztr1nCyOEpSl693ltnjzy4rzdZZGAyIzZlNrUjV1BWlt3aTS6V8gPgxkaYMaP7XESplOYiGqxyOQ9+Xn7Zg6Fly/zfvrLSA+SjjoIHHvBl6bR/H1dVZSm9fzzkuuDY++DYe2HY1L7+KDIEKBgSkUEplytMqppMwo03+jiG4mYJ2WxgeNOP4aT5UF7d15ssMuAlRtZRN7GTqhFbSCbD1kk0jzyyMBfRE0/4AXEI3sxk7VoFRINJOu3tsltaugdB0RxCt922vTmEAuWvfgemfx1OWwwT39fXH0OGEAVDIjLopNM+q3lnZ2Huijlz4Ic/9AMwMz8wG12VJXHgBZCo7OtNFhk0YiWVjBhVyYRRTSSTgba2QnZ26VLPEK1e7f8/EwnvILZypWeKZOCKxgWtWuX/to2NHgRFHTyjOYSmT4df/arwulgsMIFHSe47C6Z/RSVx0uvUQEFEBpVUyscjnHQSzJ/vP8xVVT5oNzogy+WgpCRQV2ckEn29xSKDV2dbG8vqK6istK3tlFeuhOpq/78ai8GIEX47m/WTFNXVvlwGjmgS1UzGAyEzeOEF/94dMcKvKyr8OhojlM1CIhGYOGIpydEH9PVHkCFADRREZNBLpbw0LprVPJn0H99o7oryci/JqKgI7LOPAiGRnlZWWcn++6YZNSq3tWxu/HjvNhdN0Nre7hmieNw70K1apQlaB5J02jN96bSXJUcnnObNg7Fj/TsYvINn9B2cywVKkmkm1aYUCEmfUzAkIoNC1DWuq6swq3lDg5+N7Oryco2obG7kSFNbX5FekiwtYeTIGBPGbN7abS6TicaK+EmMjRv9oDmR8PurV6tsbiDIZDx4TacLLbKjphhf/jJceaV3Exw/HiZNCnR1ZihNL2fqhNXsU5ckUaJJraXvKRgSkQGvuFlCNluY1fyb3/QxQmPG+HU0XmjEiL7eYpGhp2zYCCaMTVFaGrYeOJeX+//b4cM9QxSLsbUT3Zo1/pj0X9H3bjzul7lzvSy5vd3vX389TJ4MEJjY9gOmlT5E9X5TiA2b1MdbLlKgYEhEBrRcDhYtKow5mDvXz0jedJPPap7JQHl5oKw0R1WVZ4w0HkGkb5RVllJbkyWZDMTjHvRUVXnJXHTCorTUA6JoHIoyRP1TOl0YhxmCf/+edVZhHreqKu/YWZlcz+SuW0geeC5MOr2vN1vkNdRAQUQGtDVrvG3vggXw3e9uby6hQG1NlpJSDRAS6S880MmRzca2NlYoKfGMQmenZxXKy9n6WHV1YeyJ9L2uLv/uNfOGGFVVvjz6d8tkvDlCdcnfKB02Gobv17cbLMKOGyjo6EBEBpxcrlCX3tHhzRLKynYwqepIFAiJ9DOJBNTWxmhry9DaGieTMcAPrktLPRvU0VHoNLdqlTrN9RdRIJTJ+L9PVBbnE6dGAWygdvjLJKve7v+oIv2YvlJEZECJyuIuuACWLPEzkXV13k5720lVMxkIQT/EIv1RLAbDhyeonpAlkfBOc2bqNNefpVJeuhiNE8pm/d9rzBj//vWMkAdJydEHKhCSAUHBkIgMKI2NcMYZPh7ovPP8oGnuXG+W0NnZ/bnxuP9Ai0j/VVqWoKbGSCbD1pMYxZ3m4nE/po7GFK1f74GS9K4oIxR1jgsBWlu9jDGaNyhqpDB8uIIgGTh2GQyZ2UVmVtUbGyMisjPptJ8prq/3Abr19f4DPH48nH9+ofNUPA7DhqlZgshAUVIC1dVGItG909yIEa/tMtfe7hfpPVFGKBrDNXduISBdt66QAIrFYMIENIebDCi7c5hQDfzNzO40s5PNlPMUkd4Xtc+OxTzIaW316699zccYTJ3qARD4c2pqFAiJDCSlpVBba906zUVd5jZt8jK5igq/39joWQpliPZMKuWZtXXrfNzlxo1+UqmpyZdFl6Ymf97GjbBxY2DNGi9jTCT83+Gss+CHP/RgdfRoD15LSmDiRL8WGUh2q5tcPgB6D3AuMBO4E7glhPDKTl5zK/A+oCmEcGjR8ouBi4AM8EAI4fP55V8CzgOywKdCCA/varvUTU5kaIgCoc5OPwO5YgXccANcfLGXyp14Inzuc/4jXFLigZDOTIoMTFFL7WzW72ez/h2QSvkJjxAKGYrSUs8MD7YTH7kcbN4MbW3+ecE/cy5XCD6i77hMxj9/9DconpspyqZlMh5IdnT47VTK53ZauRIefxzOPLPwmlTKnxuNCWpr8+WJhAdIJSX+d48ej8f9fWprB9+/gwwub6ibXAghmNlaYC0exFQBd5nZI1Ewsx0/Ab4L/LRoI44HzgBmhBC6zGx8fvnBwFnAIUAt8HszOyCEkN3dDygig1M6Da+84j+2iQR873twzjleFjdqFDz0kHcuqqw0JkzQj7HIQOed5vwgvKkpEIvZ1pbNzc2wdCkcc4wftLe1eeDUX7vMpVKwYYPfLi0tBC7xeGES6GisY2lpIdPV1eXZ7ygQ2bLFu2T++7/7eMnSUg9EuroKDSbAA6goeKqs9PudnV5WOH68L48Cy44OmDULHnuse1OKVKr7yaTGRpg0ybcnyvoU/61jsf779xfZHbsMhszsU8DZQAvwY+C/QghpM4sBS4HtBkMhhD+a2ZRtFv8H8K0QQlf+OU355WcAt+eXv2pm/wQOB57Y848kIoNFJuNZoGXL4KCD/KzknDk+qV9x++yqKmPkyL7eWhHZW7zTHKxfb1snXU0mPRCaMcO/G6KmCum0l3XtSYYolfJAYcsWX9fw4YXgIpv1zEh0ciWX84Bm82a/P2yYl+2Vl3snNfD1VFQUxs50dXkwsnatb+OIEf6a6DsrnfYAZsOGwuPt7YWgJJeD5csL23vhhV7O9uEP+3OioCmX614qWDxBbSrll/p6v19VNPo7FvNtiMZdbvu3T6cL95uaYNo0D8BC8M8dNUxIJr00Tpl4Gch252tjLPD+EMJ7Qwi/DCGkAUIIObwMbk8cABxtZk+Z2QIze3t++URgZdHzVuWXvYaZnW9mC81sYXNz8x6+vYgMJA0NfjBRWek/+JmM/xAXt88OwQ9kRGTwqa0tZD7SaZ9gubzcg4/iMUSlpb5s3Tof5xKNgYnGvWza5NdR6Vljowcbxx4LV17pGacXX4TjjoP99vP3WbTIv3Pq6/2EzCWX+HstWwb33lvYplWrPDhIpTwIamnxbW9p8WXpdPfytGjbt2zp/ngqVXhOOu3fe9ElCmii5hLpdKGrW3Q7nS6Uy0UBTSxWWEcy6Zd43L9Pk0kfdxl1gIsu0WPRZd48/1sOG+bztkUBYklJ4d9HZCDbZTAUQvhKCKF+B48t2cP3S+AldkcA/wXcmR+PtL2mDNsdzBRC+FEIYWYIYea4ceP28O1FZKDwH/dAU5MfvNx8sx/4rF9fKDEpK/PyDZVniAxOiYRnHqID83TaA59oHiIzGDfOb2/c6MFBS4uXhkVBRSbj96PysJYWXzZrlgcZn/2sX597biHoqK/3Fv7Ll2fp7ITZs708LQR/3emnezCzZYsHVVHZWRTUdHR0D062F7hs+3j0nGgMTltb4VJX59sVBSzFgU1x4BJliqKAJpcrrKO83P9uUXaqvBzuvhvuu8+XRZdo7GX0/Msugy9/2QPITAay2eCTqtb6e4gMdL19CLEKuCe4vwI5PPO0Cphc9LxJQEMvb5uI9BNdXbBiRSCRMObNg7Fj4dRTvTxu9Gh/ThQI6cdYZHCLBuePGeO3o7mHRozw65aWQrlbFIxks4WgJMrEbNrkt6OgIwp84vHu2ZeIl5DFicUK7fyLS8uiAKay8rUBTtTgoTgw2TZw2fbx6DklJR7kTZnigd64cd7Kuq4OfvELD1jKy/1SHNhEwUu0riioqavzdUTFNMOGFeZf228/D/pKS/1kU0WFPxZta0UFTJsWuOGGwOjRAbPA5MmBffYxZYRk0OjtXfnXwAnAfDM7ACjBxyL9Bvg/M/sO3kBhf+CvvbxtItLHMhk/g7lhA6RSxvDhfkbyiiu8ROX88/1Aw1vwKiMkMlREY3USCVi92jM0sVghAxPJZn15VE62PVEQUldXCGyi7EtxQFRXB+XlWdra4lvb+U+ZUigti75/2tq6n5RJp/1kTVRKFo2ziZodlJQUMkCZTOHxaMLZRMK/A8vLPTCJGiLMn+/rjMY3JRLdmzJE343F3eSiAC56n1jMg8JMxrdj9Gh2Y7yldRtvtP1iHpGBa7daa7+uFZvdBhyHZ34aga8CPwNuBQ4DUsDnQgiP5p//38DH8G51nw4hPLSr91BrbZHBo7MTmpsD2axtPSioqPAf9uhsa3QGdcSIQmckERlaGhoKjQ6gEIjkcv490d7uwciOTpbkch5INDV5yduJJ8JnPuP3o1K5ujofF3TIId5+et06Pylz442eYXn8cW9mAF4+VlXVvaPb8OGesRo2rNBkYXe7yUXbt2FDITiqrvbHReT121Fr7R4LhnqDgiGRgS+3cRkd8ck0tyQIwTtHlZX5Ac2tt8InPtE9GCopCdTVqURDZKiK5h2LgqGo7XZ7uwcMmzd3LzuLmq1EGaHGRg9SKiu3300ul/P1vdFucqWlnjWKyvaKO9SJSO9TMCQi/UMIsHExuaYn2TT8fXTaBLq6jM5OP2hJpby+fdMmb5Zwxx3FbbQDtbWBkhIdTYgMZbkcdHQE2tqgpcXLuKKxO4mEByNRKVssVmjDHYv5ddTJLZv1oEbz5IgMfm9o0lURkTckBNiwCFb8ElbeRWr/L7K65DysyzArDGguKfGBwhdf7LcnTYKLLopKRQLV1QqERCRqGW0kErmtGZjW1igDs+sJmEeM6L1tFZH+TZkhEekZIcCG52DFL8lkobXmv8mEMsrKPOvT0WFba/2TSfjudz0Iam6G22/3Gv5o3o1oRnp1jhMREZHXQ2VyItLzQoD1z5Brfop1yeNJl0yhpCzJxo1GZ6fR3u6ND4ozQbGYT3Y4dqyCIBEREekZKpMTkZ4RAqx/mnT7RtaXHEMmcxgbc4exZZ2PJB43zoObqGVt1HUpnS50Uxo71jsvXXSRD4KOJlqMBieLiIiI9AQFQyKy50KA9f/wMUArfknqwK+wMvFR1q81mpq6P7WqKqrv9/tRS9mohezmzT7XxdixhWzQhAkKhERERKTnaSSyiOyeEGDd3+Dpz8Nv9oXfziTTvp51Ry5hTdlHSaWM2bM96Cm+JBIe9LS1+eW++wqTCG7e7EFQLOaBUDKpjJCIiIj0HmWGRGTHogBo5S9hxV3QtpzU235Ky9uvJh739rS22ba2rK2v945OxZMDrl/vc3jU1XkJXHk5PPAA/Ou/evvbLVs8CKqrQ3MHiYiISK/SoYeIdBcCrHsqXwJ3F7SvgFgSqt9N54mLWLaiksaXjOpqf7qZBziplAc0V1/ts7RHkw9mMh70jBjhJXMhwNSpHhhVVMDkyZrfQ0RERPqGgiERgZCDlqe2zgNE+0qIJcnt9yk2TfkaG9sqqaoy1q+D5cvhwgvh4Yf9pWY+I3smA3fdBbNnw6c+Bddc40FPJJ32S0UF1NQoABIREZG+p2BIZKgKOWh5Ih8A3U2ubBIbDv45m8deQyxmJOKQzRmN9d7y+qKLPJiprPRyuGzWA6F163yMTzRJ6oIFhUYIY8Zo/I+IiIj0Xzo3KzKUhBw0/RkWXgK/3ofM0p/QVHsVTe9cQf2Bf2FZ075cckmMl182Xl5qpNMwaxace64HQsmkN0Goq4Nrr/X7VVXQ2Fgoh4sCoepqBUIiIiLSvykzJDKIZTLQ2hro6PCytFwO6HoTpWUfZMybj2FleD8drba149vs2XDddXDeefDQQ579qa/3dtjJJDzxBMyYAXPneoAE8LWveUAUTZRaUeGtsVUGJyIiIv2dgiGRASyXg6Ymz8iUlsL48b68qSmQjKXZsDnJ+vXGFVfAxRfDeecZ9fVjqasby/z50NXhwc7Ikd7iur7e5/yJAqB43LNA2Sy8+CLsvz889xwccwzMn+/L43HPAin4ERERkYFGhy8i/VAuB83NHujU18PKlbBihd9eu7YwYemiRXDEETBlil8vfTnNomfaueACY3N7yda5f84+27M99fW+/vp6D6CiyVCbmnx9dXXeGruuDlav9mDn7rs9EzRmDLS0wJFHQkeHjxeaOBFqaxUIiYiIyMDUY4cwZnarmTWZ2fNFy75mZqvN7Jn85dT88qSZzTOzRWa2xMy+1FPbJdJf5HIe2NTXe+ATBT8NDfDSS357xQq45BJ4+WXPxkRBzz/+Aa+8Amec0T3AeWVZkjPeX8HZZ3vJWjT3T5TtKZbNFiZDnTfP7991l9++5Ra44QYPjCorvXnCxInwpjf5ektKNDmqiIiIDHw9eT73J8DJ21l+XQjhsPzlwfyyDwClIYTpwNuAT5jZlB7cNpE+k8l4oPPssx7YzJnj7aqj4OeZZ+DVVz2Q2VFWZ/ZsX8+2AU7U6W30aB/js222p9jcuR7U1NV5wPXlL/scQNdfDwcc4MHQpEm+TvBM0OTJsO++fq0JUkVERGSg67FgKITwR6B1d58OVJpZAigHUsCmnto2kb6SycDSpbBlC5x5pgcuX/iCZ4Wi4Key0i87y+rU10N5Seo1AU7U6a211V+fTHbP9kTPr6uDj3wE9tkHxo2DAw/0IGj0aB97NHGiP6e21gOfujqNCxIREZHBpy/O7V5kZh8FFgKfDSGsB+4CzgDWABXAf4YQdjeQEumXMhlYs8Zvh+AXM8/6HHBAIcAZPdqvo+CntdUDkm2zOsUBUV0dVA6Pc++9hVK5ujrP2tx7L3z1q97soKzMO7vdcIOvf8ECf33UbCEWKzRdEBERERlqevs87w+AfYHD8MDn2vzyw4EsUAtMBT5rZtO2twIzO9/MFprZwubm5p7fYpGdKB73s3atz8WzZo03Gnj2We/gFo33mTOnMGlp1KUNPNhpaysEP1df7Z3dcrkdZ3XuvRfGjI0zfTo8+aSX2T35pAdA06fDzTd7kDVihK8nk/HXRhkfZXlEREREwEIIPbdyH/dzfwjh0J09ZmbfA54MIfws/9itwG9DCHfubP0zZ84MCxcu3PsbLrIL6TRs2uRjfKJyt899zufeaWvzYOb4433Onv/8T3/8nnvgrW+FxYu9EUF9vT+/uhpuusnn5+no8FK56mq45hrYf/9AZyfEYrY1u1Sc1RERERGRXTOzv4cQZm67vFfL5MysJoSQLxziTCDqNLcCOMHMfo6XyR0BXN+b2yayuzo7ve10CIVACDywWb7cb48Y8drxPqNHQ3m5Z2Y6Ojyg+f73PVPU1QU1NYFxY7MsWBDPd2wzxowxNSoQERER6SE9dphlZrcBxwFjzWwV8FXgODM7DG+YsBz4RP7p3wPm4sGRAXNDCM/11LaJvB5RG+rWVkil/Lp4HE88Xui8ls2+drxPa6uvo6zMxw5VVMCwYV7ClkwGqidkSCSTffPhRERERIagHguGQggf3M7iW3bw3C14e22RfimT8TFB2ayXyMVi3gq7uLFBNuvBEsD99/t4nyuu8PE+553nY4FuuqmQGWpr8/bUVVUwapQRiykQEhEREelNGnUgshOZDKxb500R0mm/RPP3bNvYYO5cnxR13Dg49VS44w648krv8LZgQeCOX7QzZdImjBzg2aHSUhg1SuN/RERERPqCRiOIbEc67XMBtbZ60BI1L0gmfaLSTMYnKb3iCm+SMH48TJgQmDzsGVqHH0AuVs7UqUYum6Ms3s74mjJiiYq+/lgiIiIiUkTBkEiRTAba230S1HjcxwaZ+TifELy8zcf4wKRJPn9PJgOJRKCm86eUPP5ZaiadCZNnwz4nQCwJDO/rjyUiIiIi26FgSAQve9u82dtl53IeBCWTXr5m5tmg9nZ/LAS/39VVCIRqeYjkiFo4c00+ABIRERGR/k7BkAwJuZw3POjqKszTAz4eKARvZhCL+fOyWb+dSHi53Lp1nhlKpXx5RYW3185mA+VlWaonQCxxat9+QBERERHZYwqGZNDJZHysT0eHBy/xODQ2FuYEqquDhx/2527a5N3cosYI4M9Pp2H9ehg+3B9vbPSJVGMxX28iEZg0ySgt1X8hERERkYFKPaxkUOnq8oBnxQq45BJ4+WV45pnuk6PW18Mrr/iludmDp1jMg6F4HO67z8vgolK4ESNg4kQvl8tkPDM0ebJRWtqnH1VERERE3iAFQzJopNM+F1AqBbNnw9ln+/w+lZXdJ0cFXxZdovK4KIt01FHwwAMwZoxnhbJZzwaVlsLUqVBTo1bYIiIiIoOBanxk0GhoKEyIWl8Po0f7dWtr98lRoTA5KvhYoqoqzwIB1NbCGWcUJkWtqUFZIBEREZFBSOe3ZcCL5gSKWl7nch78REHQ1Vd3nxy1rg723Wc9+9ZtYdw4D3Ta272b3PDhnlmK1jVxogIhERERkcFKmSEZ0Do7fdxPLudZnGjsz113+YSot9zipXL//d/w/e/D/vtlGZ5sZPzIZhg5nXWtHkyF4NdtbdGYIJXCiYiIiAx2FkLo62143WbOnBkWLlzY15shfaSz07u8Re2wq6pgwwYPbEpLC+OAcrkA2S5KkynG1w4jFleUIyIiIjKUmNnfQwgzt12uzJAMSFEglE77/WQSFi6Egw/228UTok6YECgrKwPK+nSbRURERKR/0SlyGTAyGVizBjZuhMbGsHVuoHgcXnzR5wF64YXiQAgmTDDKyrSbi4iIiMhrKTMk/Vou540NurqgpSUQgpFKQTptJJPe8rqy0gOhlhZ405uKAyEoUzJIRERERHZAwZD0S7kcbNoEnZ2B1auNigpYvtyYOpWtGaHycm940NUF++zjAVEUCNXU+KSpIiIiIiI70mP1Q2Z2q5k1mdnzRcu+ZmarzeyZ/OXUosdmmNkTZrbYzBaZmc7pD1Gpzg7q6wMbNkBXlzFrljdCiCZIjTJCmzd704SKCg+KonbYtbUKhERERERk13oyM/QT4LvAT7dZfl0I4ZriBWaWAH4O/FsI4VkzGwOke3DbpA9kMjnWNEAqbVRUBOJxo6PDyGZh+LAM2Y6NJEtLaUtV0tnpZXDgk6Vmsx7w5HLwxBMwY4Z3jTPzeYGy2UJGKHqdiIiIiMjO9FhmKITwR6B1N5/+HuC5EMKz+deuCyFke2rbpOdlMtDU5IHMypWwbl3g2WeNo4+J8eEPG6tWxVi82Dj2WPjQh+D5xQmOOHYMmzqGkU4bsZg3RkgmfZLUa6/161wO9tsPnnvOM0Kdnf5e5eU+N5ACIRERERHZXX3RZusiM3suX0ZXlV92ABDM7GEz+4eZfX5HLzaz881soZktbG5u7p0tlj2SSnkQtGIFXHKJd4DbtMmYNcuor4cvfMEnSj33XLbej25nsx4E5XKFzM/dd8Mf/gDf+U4h6DnySC+Vi8c9SKqt1SSpIiIiIrJneruBwg+Ay4GQv74W+Fh+O94FvB1oB/6QnxjpD9uuIITwI+BH4JOu9tJ2S14uB+vWeRODVMrvV1TAmDGwdq1PdtrR4Y/Nng3XXedd3kaO9GAHYPRovy6+H92Ox73cLZcrdJIbPRoWLPAMUDzu65owofc/u4iIiIgMLr16Lj2E0BhCyIYQcsD/AofnH1oFLAghtIQQ2oEHgbf25rYNVbmcZ2kaGmD5ci9pW7nSg5O1a/3x6HmtrfDyy/68l16C446Dfff1ErbnngtcfHGhkUEs5usYPdobH2SznsEBX09bW/f70e1f/KKQEdq82TvExWKF5ggTJ6pdtoiIiIjsHb0aDJlZTdHdM4Go09zDwAwzq8g3UzgWeKE3t20wiQKc+npYtsyDmkzGrxsavGytvt6vi4ObT3/a7x99NEyZAkccAYsW+WuXLvV1LlvWvcQN/PasWcbZZ3tGKMrs1NUVAp+5c+Guu3zZ1VfDuHG+LLof3b7sMvjVrzzzM3o0bNni77HPPn5JqBm8iIiIiOwlPXZoaWa3AccBY81sFfBV4DgzOwwvk1sOfAIghLDezL4D/C3/2IMhhAd6atsGk1zOGxUkkx44lJTAxo0e6EQByxlnwFe+At/4Blx6qQcnN9zgQciyZb6eCy/0krbzzisEOdFrH3wwsHy5MXKkZ3mixyLxeCELlM16qVw67cHPFVf4e556KtxxBzz4oAc0lZWBZBIWLMh3kxsOTz7pcwaVlnrL7DFjevdvKSIiIiJDS48FQyGED25n8S07ef7P8fbashsyGQ9qli2DP/0JjjoKLr8crrnGl114YSFgOftseP/7C+N3osCnpaV7cFM8didSXw/JRKCy0mhq8kAFPIsTPTcqgWtthfvvh4sv9jK3CRM86Io6w02b5s+tqIDx400ND0RERESkT+lwdIBIp70728qVsH69l6o1N8OZZ8Lpp8OsWR70ZDIe4BQHNVGQE43fiW43NXlAFY3fKR67E6mrg7LyGG1tMG+ej+EpLnEDv3333f74ySfDTTd5wJPL+fbkcv6aujoPiKqr1flNRERERPqeRmD0I1HJW1eXBxMA7e0wYoRney6/3MvOslnPvDQ2FtpRRwFOLFYIbqKAKApyWls9sxPdnjfPS9jMPKC54Qa45ZZCqVxdHdx7r09k2t7ubbKvvNKvp02D+fO7d5O76SZ/v/3397FDpaXeBluBj4iIiIj0RwqGesm2gU4268sSCW9FXVLiDQ7OPNMzJzfd5GOAHnwQLrrIMz/XXeflZl1dft3U5AFLNNdOa6vfjjI30ZihefPg7rsDl19uXHppIfC5+OLuwc311/vr//Qn37bSUhg/3oOZ/ff3YOuGGwrjgqLHIpMn99mfV0RERERkj1kIA3eqnpkzZ4aFCxf29WbsUDrtjQzKymD16kKgc9VVHlRccQV0dvr11VfDe9/rwcs993iwceGFHgyVlHgwMn++vz6b9XK3Sy7xgGbx4sKYoSjT09XlwUoU1Eya5PMD5XL+eCpVCGS2DXxERERERAaT/BymM7ddrszQXpTLwYYNPk8OeMvq22+HT3zCA6H6es/unHtuIctTPDHp9iYljce9U1yU+Rk/3jM7n/mMt6G+/HIfKxRlbaJmBel0cbMCX15d3Rd/FRERERGR/kl5gL0klfLgZcsWD4I2bfLStnPPLYztge7NDIonJo1K3qD7pKTZrJfRRQ0KslmYMwe+8x0vS7vhBpgxw9dVU+PLamvVrEBEREREZFd0mLwXdHXlWLs20NnpwcqsWYWmBsVje6B7M4PiiUnnzfPmBdtOSjp3rq9r5EjPII0Y4ZOPXnQRbN7sgU5dnV9KSvr27yAiIiIiMpCoTO4NymRyrF1rZDI+b05xEBRldqJA57zzPNCJGhhccUVhYtKLL/amCddd52Vt1dU+jmfatEKQ09XlraqzWXVpExERERF5o9RA4Q1auSJHVyq2tStcWRkcfzz8+7/DKaf4mKE5czzgOftsD3T22ce7yIVQ6CYXi/n9ENTMQERERERkb1IDhR6SShvJpGeCcjm/vvtuL5UD7whXVuaZoEzGszw1NR4EiYiIiIhI39Eh+RtUkgwkkkYm4y2r163z8rgFCzz4icVg7FjvCCciIiIiIv2HgqE3qKYWVtR7QDRuHLS3w8aNkEgEJk0ySkv7egtFRERERGR7NCrlDUokYuxTFygry9HeHshkAslkYOJEBUIiIiIiIv2ZMkN7QSIRY/z4vt4KERERERHZE8oMiYiIiIjIkKRgSEREREREhqQBPc+QmTUD9X29HX1kLNDS1xshshPaR6W/0z4q/Z32URkIBsp+WhdCGLftwgEdDA1lZrZwexNHifQX2kelv9M+Kv2d9lEZCAb6fqoyORERERERGZIUDImIiIiIyJCkYGjg+lFfb4DILmgflf5O+6j0d9pHZSAY0PupxgyJiIiIiMiQpMyQiIiIiIgMSQqGBhgzO9nMXjKzf5rZF/t6e2RwM7PJZvaYmS0xs8Vmdkl++Wgze8TMluavq4pe86X8/vmSmb23aPnbzGxR/rEbzczyy0vN7I788qfMbEqvf1AZ8MwsbmZPm9n9+fvaR6XfMLNRZnaXmb2Y/z49Uvuo9Cdm9p/53/nnzew2MysbKvuogqEBxMziwPeAU4CDgQ+a2cF9u1UyyGWAz4YQDgKOAD6Z3+e+CPwhhLA/8If8ffKPnQUcApwMfD+/3wL8ADgf2D9/OTm//DxgfQhhP+A64Ore+GAy6FwCLCm6r31U+pMbgN+GEN4EvBnfV7WPSr9gZhOBTwEzQwiHAnF8HxwS+6iCoYHlcOCfIYRlIYQUcDtwRh9vkwxiIYQ1IYR/5G9vxn/AJ+L73bz80+YB/5K/fQZwewihK4TwKvBP4HAzqwFGhBCeCD5Q8afbvCZa113AidGZJJHdYWaTgNOAHxct1j4q/YKZjQCOAW4BCCGkQggb0D4q/UsCKDezBFABNDBE9lEFQwPLRGBl0f1V+WUiPS6f0n4L8BQwIYSwBjxgAsbnn7ajfXRi/va2y7u9JoSQATYCY3rkQ8hgdT3weSBXtEz7qPQX04BmYG6+lPPHZlaJ9lHpJ0IIq4FrgBXAGmBjCOF3DJF9VMHQwLK9CFrtAKXHmdkw4G7g0yGETTt76naWhZ0s39lrRHbJzN4HNIUQ/r67L9nOMu2j0pMSwFuBH4QQ3gK0kS832gHto9Kr8mOBzgCmArVApZl9ZGcv2c6yAbuPKhgaWFYBk4vuT8LTmCI9xsySeCD0ixDCPfnFjfl0OPnrpvzyHe2jq/K3t13e7TX59PxIoHXvfxIZpI4C/p+ZLcdLh08ws5+jfVT6j1XAqhDCU/n7d+HBkfZR6S9OAl4NITSHENLAPcA7GSL7qIKhgeVvwP5mNtXMSvDBa7/p422SQSxfz3sLsCSE8J2ih34DnJ2/fTZwb9Hys/JdY6bigyf/mk+vbzazI/Lr/Og2r4nWNRt4NGgCNNlNIYQvhRAmhRCm4N+Jj4YQPoL2UeknQghrgZVmdmB+0YnAC2gflf5jBXCEmVXk960T8THCQ2IfTfT1BsjuCyFkzOwi4GG808etIYTFfbxZMrgdBfwbsMjMnskvuxT4FnCnmZ2Hf4l+ACCEsNjM7sR/6DPAJ0MI2fzr/gP4CVAOPJS/gAdbPzOzf+Jnic7q4c8kQ4P2UelPLgZ+kT+RuQw4Fz8hrX1U+lwI4Skzuwv4B77PPQ38CBjGENhHrZ8EZSIiIiIiIr1KZXIiIiIiIjIkKRgSEREREZEhScGQiIiIiIgMSQqGRERERERkSFIwJCIiIiIyyJjZB8xssZnlzGzmTp633MwWmdkzZrawaPkd+WXP5J/zTH550szm5V+zxMy+tJ11/sbMnt9m2b+a2Qv5bfq//LI6M/t7/j0Wm9kFr/dzmdm78+talL8+YXf+TmqtLSIiPc7MRgEfCiF838xqgRtDCLN76L0OA2pDCA/2xPpFRPobMzsOOCeEcE7R4ueB9wM/3I1VHB9CaCleEEKYU7T+a4GN+bsfAEpDCNPNrAJ4wcxuCyEszz/3/cCWbbZvf+BLwFEhhPVmNj7/0BrgnSGELjMbBjxvZr8JITSwYzv6XC3A6SGEBjM7FJ+KZuKuPrgyQyIi0htGARcChBAaeioQyjsMOLUH1y8i0u+FEJaEEF56o+vJT6D6r8Bt0aqBSjNL4PMJpYBN+ecOAz4DXLHNaj4OfC+EsD6/bU3561QIoSv/nFKKYhMze5uZLchneR42s5qdfa4QwtNFQdRioMzMSnf1+RQMiYhIb/gWsG++FOKXUfmEmZ1jZr82s/vM7FUzu8jMPmNmT5vZk2Y2Ov+8fc3st/kfxT+Z2Zvyyz9gZs+b2bNm9sf8pJbfAObk32uOmR1uZn/Jr/MvZnbgHr73fDO7Pv/a583s8D75C4qI9IwA/C7//Xr+dh4/GmgMISzN378LaMOzOiuAa0IIrfnHLgeuBdq3WccBwAFm9nj++/Xk6AEzm2xmzwErgavzmZ0kcBMwO4TwNuBW4Jt78JlmAU8XBVo7pDI5ERHpDV8EDg0hHGZmU4D7ix47FHgLUAb8E/hCCOEtZnYd8FHgenw29AtCCEvN7B3A94ETgK8A7w0hrDazUSGElJl9BZgZQrgIwMxGAMeEEDJmdhJwJf5DubvvDVAZQninmR2D/ygfurf/QCIie8rMnsIzKsOA0dG4Hvy77OHdXM1R+QBkPPCImb0YQvhj0eMfpJAVAjgcyAK1QBXwJzP7PTAC2C+E8J/57/liCWB/4DhgUv41h4YQNoQQVgIz8iXUvzazu4Bx+PfsI56YIo4HX7tkZocAVwPv2Z3nKxgSEZG+9lgIYTOw2cw2Avflly/CfyCHAe8Efpn/UQT/8Qd4HPiJmd0J3LOD9Y8E5uVr1gOQ3N33LnrebQAhhD+a2Yh84LXh9X1cEZG9I4TwDtjhmKHdXUdD/rrJzH6FBzt/zK83gY/PeVvRSz4E/DaEkAaazOxxYCYwBnibmS3HY4zxZjY/hHAcsAp4Mv+aV83sJTw4+lvxdpjZYjwT9RKwOIRw5J58FjObBPwK+GgI4ZXdeY3K5EREpK8VlzHkiu7n8B/UGLAhhHBY0eUggBDCBcCXgcnAM2Y2ZjvrvxwPeg4FTsezQLv73pGwzTq3vS8iMuCYWaWZDY9u49mU4i5wJwEvhhBWFS1bAZxgrhI4Iv+cH4QQakMIU4B3AS/nAyGAXwPH599nLF42t8zMJplZeX55FXAUHgi9BIwzsyPzjyXzGZ+dfZZRwAPAl0IIj+/u30DBkIiI9IbNwPDX88IQwib8TOIHwAfzmtmb87f3DSE8FUL4Ct5JaPJ23msksDp/+5zXt/nMyb/fu4CNIYSNu3i+iEifMrMzzWwVcCTwgJk9nF9ea2ZRt80JwJ/N7Fngr8ADIYTfFq3mLLqXyAF8Dy/Lex7P7MwNITy3i815GFhnZi8AjwH/FUJYBxwEPJV//wX4+KNFIYQUMBu4Ov/YM3iFwA4/F3ARsB9wmRVago9nFywEndwSEZGeZz6vxAxgCXBQCOFQMzuH7uN7lufvtxQ/ZmZTgR8ANXiZ2+0hhG+Y2T14qYUBfwA+jdewP5x/3lX4Wcx5QDPwKPBvIYQpe/De84EngGPxmviPhRD+2lN/JxER6T0KhkRERHYiHwx9LoSwcFfPFRGRgUVlciIiIiIiMiQpMyQiIiIiIkOSMkMiIiIiIjIkKRgSEREREZEhScGQiIiIiIgMSQqGRERERERkSFIwJCIiIiIiQ5KCIRERERERGZL+P+vq7dUAkVHYAAAAAElFTkSuQmCC\n"},"metadata":{"needs_background":"light"}},{"output_type":"display_data","data":{"text/plain":"<pandas.io.formats.style.Styler at 0x71257c6e2190>","text/html":"<style  type=\"text/css\" >\n</style><table id=\"T_04c79_\" ><caption>Lookup Table with Interpolated Waypoint Data for iBeacon Timestamps</caption><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >timestamp</th>        <th class=\"col_heading level0 col1\" >id</th>        <th class=\"col_heading level0 col2\" >x</th>        <th class=\"col_heading level0 col3\" >y</th>    </tr></thead><tbody>\n                <tr>\n                        <th id=\"T_04c79_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n                        <td id=\"T_04c79_row0_col0\" class=\"data row0 col0\" >1578462996804</td>\n                        <td id=\"T_04c79_row0_col1\" class=\"data row0 col1\" >nan</td>\n                        <td id=\"T_04c79_row0_col2\" class=\"data row0 col2\" >223.098420</td>\n                        <td id=\"T_04c79_row0_col3\" class=\"data row0 col3\" >154.775190</td>\n            </tr>\n            <tr>\n                        <th id=\"T_04c79_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n                        <td id=\"T_04c79_row1_col0\" class=\"data row1 col0\" >1578462996867</td>\n                        <td id=\"T_04c79_row1_col1\" class=\"data row1 col1\" >['d9c573b719a17da4836208fc436f87b5ca1aa877_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c']</td>\n                        <td id=\"T_04c79_row1_col2\" class=\"data row1 col2\" >223.011787</td>\n                        <td id=\"T_04c79_row1_col3\" class=\"data row1 col3\" >154.789054</td>\n            </tr>\n            <tr>\n                        <th id=\"T_04c79_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n                        <td id=\"T_04c79_row2_col0\" class=\"data row2 col0\" >1578462996902</td>\n                        <td id=\"T_04c79_row2_col1\" class=\"data row2 col1\" >['d9c573b719a17da4836208fc436f87b5ca1aa877_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c']</td>\n                        <td id=\"T_04c79_row2_col2\" class=\"data row2 col2\" >222.925154</td>\n                        <td id=\"T_04c79_row2_col3\" class=\"data row2 col3\" >154.802917</td>\n            </tr>\n            <tr>\n                        <th id=\"T_04c79_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n                        <td id=\"T_04c79_row3_col0\" class=\"data row3 col0\" >1578462996927</td>\n                        <td id=\"T_04c79_row3_col1\" class=\"data row3 col1\" >['d9c573b719a17da4836208fc436f87b5ca1aa877_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c']</td>\n                        <td id=\"T_04c79_row3_col2\" class=\"data row3 col2\" >222.838521</td>\n                        <td id=\"T_04c79_row3_col3\" class=\"data row3 col3\" >154.816781</td>\n            </tr>\n            <tr>\n                        <th id=\"T_04c79_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n                        <td id=\"T_04c79_row4_col0\" class=\"data row4 col0\" >1578462996956</td>\n                        <td id=\"T_04c79_row4_col1\" class=\"data row4 col1\" >['d9c573b719a17da4836208fc436f87b5ca1aa877_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c']</td>\n                        <td id=\"T_04c79_row4_col2\" class=\"data row4 col2\" >222.751889</td>\n                        <td id=\"T_04c79_row4_col3\" class=\"data row4 col3\" >154.830645</td>\n            </tr>\n    </tbody></table>"},"metadata":{}}]},{"cell_type":"code","source":"ble_df_with_waypoint = ibeacon_df.merge(waypoint_ble_combined[['timestamp', 'x', 'y']], on='timestamp', how='left')\ndisplay(ble_df_with_waypoint.head().style.set_caption(\"iBeacon Dataframe with added waypoint data\"))","metadata":{"execution":{"iopub.status.busy":"2023-05-04T10:14:33.219659Z","iopub.execute_input":"2023-05-04T10:14:33.220076Z","iopub.status.idle":"2023-05-04T10:14:33.244431Z","shell.execute_reply.started":"2023-05-04T10:14:33.220029Z","shell.execute_reply":"2023-05-04T10:14:33.243348Z"},"trusted":true},"execution_count":19,"outputs":[{"output_type":"display_data","data":{"text/plain":"<pandas.io.formats.style.Styler at 0x71257c701a90>","text/html":"<style  type=\"text/css\" >\n</style><table id=\"T_6dcb3_\" ><caption>iBeacon Dataframe with added waypoint data</caption><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >timestamp</th>        <th class=\"col_heading level0 col1\" >id</th>        <th class=\"col_heading level0 col2\" >rssi</th>        <th class=\"col_heading level0 col3\" >distance</th>        <th class=\"col_heading level0 col4\" >x</th>        <th class=\"col_heading level0 col5\" >y</th>    </tr></thead><tbody>\n                <tr>\n                        <th id=\"T_6dcb3_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n                        <td id=\"T_6dcb3_row0_col0\" class=\"data row0 col0\" >1578462996867</td>\n                        <td id=\"T_6dcb3_row0_col1\" class=\"data row0 col1\" >d9c573b719a17da4836208fc436f87b5ca1aa877_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c</td>\n                        <td id=\"T_6dcb3_row0_col2\" class=\"data row0 col2\" >-76</td>\n                        <td id=\"T_6dcb3_row0_col3\" class=\"data row0 col3\" >9.586529272742789</td>\n                        <td id=\"T_6dcb3_row0_col4\" class=\"data row0 col4\" >223.011787</td>\n                        <td id=\"T_6dcb3_row0_col5\" class=\"data row0 col5\" >154.789054</td>\n            </tr>\n            <tr>\n                        <th id=\"T_6dcb3_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n                        <td id=\"T_6dcb3_row1_col0\" class=\"data row1 col0\" >1578462996902</td>\n                        <td id=\"T_6dcb3_row1_col1\" class=\"data row1 col1\" >d9c573b719a17da4836208fc436f87b5ca1aa877_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c</td>\n                        <td id=\"T_6dcb3_row1_col2\" class=\"data row1 col2\" >-57</td>\n                        <td id=\"T_6dcb3_row1_col3\" class=\"data row1 col3\" >1.1423077651217026</td>\n                        <td id=\"T_6dcb3_row1_col4\" class=\"data row1 col4\" >222.925154</td>\n                        <td id=\"T_6dcb3_row1_col5\" class=\"data row1 col5\" >154.802917</td>\n            </tr>\n            <tr>\n                        <th id=\"T_6dcb3_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n                        <td id=\"T_6dcb3_row2_col0\" class=\"data row2 col0\" >1578462996927</td>\n                        <td id=\"T_6dcb3_row2_col1\" class=\"data row2 col1\" >d9c573b719a17da4836208fc436f87b5ca1aa877_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c</td>\n                        <td id=\"T_6dcb3_row2_col2\" class=\"data row2 col2\" >-59</td>\n                        <td id=\"T_6dcb3_row2_col3\" class=\"data row2 col3\" >1.4564100630548413</td>\n                        <td id=\"T_6dcb3_row2_col4\" class=\"data row2 col4\" >222.838521</td>\n                        <td id=\"T_6dcb3_row2_col5\" class=\"data row2 col5\" >154.816781</td>\n            </tr>\n            <tr>\n                        <th id=\"T_6dcb3_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n                        <td id=\"T_6dcb3_row3_col0\" class=\"data row3 col0\" >1578462996956</td>\n                        <td id=\"T_6dcb3_row3_col1\" class=\"data row3 col1\" >d9c573b719a17da4836208fc436f87b5ca1aa877_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c</td>\n                        <td id=\"T_6dcb3_row3_col2\" class=\"data row3 col2\" >-75</td>\n                        <td id=\"T_6dcb3_row3_col3\" class=\"data row3 col3\" >8.66670689767102</td>\n                        <td id=\"T_6dcb3_row3_col4\" class=\"data row3 col4\" >222.751889</td>\n                        <td id=\"T_6dcb3_row3_col5\" class=\"data row3 col5\" >154.830645</td>\n            </tr>\n            <tr>\n                        <th id=\"T_6dcb3_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n                        <td id=\"T_6dcb3_row4_col0\" class=\"data row4 col0\" >1578462996976</td>\n                        <td id=\"T_6dcb3_row4_col1\" class=\"data row4 col1\" >d9c573b719a17da4836208fc436f87b5ca1aa877_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c</td>\n                        <td id=\"T_6dcb3_row4_col2\" class=\"data row4 col2\" >-65</td>\n                        <td id=\"T_6dcb3_row4_col3\" class=\"data row4 col3\" >2.9497464947527825</td>\n                        <td id=\"T_6dcb3_row4_col4\" class=\"data row4 col4\" >222.665256</td>\n                        <td id=\"T_6dcb3_row4_col5\" class=\"data row4 col5\" >154.844508</td>\n            </tr>\n    </tbody></table>"},"metadata":{}}]},{"cell_type":"code","source":"ble_list = pd.DataFrame()\ndf = train_df[train_df.building == sample_building]\n\nfiles = df[df.floor == sample_floor].path.unique()\n\nfor file in (files):\n\n    path = read_data_file(f\"{PATH}train/{sample_building}/{sample_floor}/{file}\")\n    \n    # Get path's wifi and waypoint data\n    ibeacon_df = to_frame(path.ibeacon,'ibeacon')\n    waypoint_df = to_frame(path.waypoint,'waypoint')\n\n    # Combine wifi and waypoint dataframe to one dataframe\n    ibeacon_df_grouped = ibeacon_df.groupby('timestamp')['id'].nunique().to_frame().reset_index(drop=False)\n    waypoint_ble_combined = pd.concat([ibeacon_df_grouped, waypoint_df])\n    waypoint_ble_combined = waypoint_ble_combined.sort_values(by='timestamp').reset_index(drop=True)\n\n    # Interpolate waypoint data for wifi timestamps\n    waypoint_ble_combined.x = waypoint_ble_combined.x.interpolate()\n    waypoint_ble_combined.y = waypoint_ble_combined.y.interpolate()\n\n    # Map wifi timestamps to wifi dataframe\n    ble_df_with_waypoint = ibeacon_df.merge(waypoint_ble_combined[['timestamp', 'x', 'y']], on='timestamp', how='left')\n\n\n    # Append to dataframe holding all wifi data for this floor\n    ble_list = ble_list.append(ble_df_with_waypoint)\n\ndisplay(ble_list.head().style.set_caption(f\"All iBeacon data for floor {sample_floor} in building {sample_building}\"))","metadata":{"execution":{"iopub.status.busy":"2023-05-04T10:14:33.247382Z","iopub.execute_input":"2023-05-04T10:14:33.247761Z","iopub.status.idle":"2023-05-04T10:14:36.762775Z","shell.execute_reply.started":"2023-05-04T10:14:33.247724Z","shell.execute_reply":"2023-05-04T10:14:36.761776Z"},"trusted":true},"execution_count":20,"outputs":[{"output_type":"display_data","data":{"text/plain":"<pandas.io.formats.style.Styler at 0x71257c1e5310>","text/html":"<style  type=\"text/css\" >\n</style><table id=\"T_c2a6f_\" ><caption>All iBeacon data for floor B1 in building 5a0546857ecc773753327266</caption><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >timestamp</th>        <th class=\"col_heading level0 col1\" >id</th>        <th class=\"col_heading level0 col2\" >rssi</th>        <th class=\"col_heading level0 col3\" >distance</th>        <th class=\"col_heading level0 col4\" >x</th>        <th class=\"col_heading level0 col5\" >y</th>    </tr></thead><tbody>\n                <tr>\n                        <th id=\"T_c2a6f_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n                        <td id=\"T_c2a6f_row0_col0\" class=\"data row0 col0\" >1578467409433</td>\n                        <td id=\"T_c2a6f_row0_col1\" class=\"data row0 col1\" >d9c573b719a17da4836208fc436f87b5ca1aa877_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c</td>\n                        <td id=\"T_c2a6f_row0_col2\" class=\"data row0 col2\" >-84</td>\n                        <td id=\"T_c2a6f_row0_col3\" class=\"data row0 col3\" >20.608563656834086</td>\n                        <td id=\"T_c2a6f_row0_col4\" class=\"data row0 col4\" >107.612445</td>\n                        <td id=\"T_c2a6f_row0_col5\" class=\"data row0 col5\" >161.928888</td>\n            </tr>\n            <tr>\n                        <th id=\"T_c2a6f_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n                        <td id=\"T_c2a6f_row1_col0\" class=\"data row1 col0\" >1578467409634</td>\n                        <td id=\"T_c2a6f_row1_col1\" class=\"data row1 col1\" >d9c573b719a17da4836208fc436f87b5ca1aa877_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c</td>\n                        <td id=\"T_c2a6f_row1_col2\" class=\"data row1 col2\" >-85</td>\n                        <td id=\"T_c2a6f_row1_col3\" class=\"data row1 col3\" >22.566684388606173</td>\n                        <td id=\"T_c2a6f_row1_col4\" class=\"data row1 col4\" >107.374451</td>\n                        <td id=\"T_c2a6f_row1_col5\" class=\"data row1 col5\" >161.965156</td>\n            </tr>\n            <tr>\n                        <th id=\"T_c2a6f_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n                        <td id=\"T_c2a6f_row2_col0\" class=\"data row2 col0\" >1578467410406</td>\n                        <td id=\"T_c2a6f_row2_col1\" class=\"data row2 col1\" >d9c573b719a17da4836208fc436f87b5ca1aa877_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c</td>\n                        <td id=\"T_c2a6f_row2_col2\" class=\"data row2 col2\" >-84</td>\n                        <td id=\"T_c2a6f_row2_col3\" class=\"data row2 col3\" >20.608563656834086</td>\n                        <td id=\"T_c2a6f_row2_col4\" class=\"data row2 col4\" >107.136456</td>\n                        <td id=\"T_c2a6f_row2_col5\" class=\"data row2 col5\" >162.001424</td>\n            </tr>\n            <tr>\n                        <th id=\"T_c2a6f_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n                        <td id=\"T_c2a6f_row3_col0\" class=\"data row3 col0\" >1578467410453</td>\n                        <td id=\"T_c2a6f_row3_col1\" class=\"data row3 col1\" >d9c573b719a17da4836208fc436f87b5ca1aa877_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c</td>\n                        <td id=\"T_c2a6f_row3_col2\" class=\"data row3 col2\" >-85</td>\n                        <td id=\"T_c2a6f_row3_col3\" class=\"data row3 col3\" >22.566684388606173</td>\n                        <td id=\"T_c2a6f_row3_col4\" class=\"data row3 col4\" >106.898461</td>\n                        <td id=\"T_c2a6f_row3_col5\" class=\"data row3 col5\" >162.037692</td>\n            </tr>\n            <tr>\n                        <th id=\"T_c2a6f_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n                        <td id=\"T_c2a6f_row4_col0\" class=\"data row4 col0\" >1578467410485</td>\n                        <td id=\"T_c2a6f_row4_col1\" class=\"data row4 col1\" >4e9d3569a79dcbd102831d1bd587aa4e868ae797_20a3404e313632fda2f7d36e5e61f744a260ac4f_acc3938f2906d73cf4d4a2ac30077892bf572304</td>\n                        <td id=\"T_c2a6f_row4_col2\" class=\"data row4 col2\" >-86</td>\n                        <td id=\"T_c2a6f_row4_col3\" class=\"data row4 col3\" >16.545591294123085</td>\n                        <td id=\"T_c2a6f_row4_col4\" class=\"data row4 col4\" >106.660466</td>\n                        <td id=\"T_c2a6f_row4_col5\" class=\"data row4 col5\" >162.073960</td>\n            </tr>\n    </tbody></table>"},"metadata":{}}]},{"cell_type":"code","source":"def plot_ibeacon_signal(path, building, floor, identifier):\n    # Prepare width_meter & height_meter (taken from the .json file)\n    floor_plan_filename = f\"{path}/metadata/{building}/{floor}/floor_image.png\"\n    json_plan_filename = f\"{path}/metadata/{building}/{floor}/floor_info.json\"\n\n    # Load and extract floor dimensions in meter\n    with open(json_plan_filename) as json_file:\n        json_data = json.load(json_file)\n\n    width_meter = json_data[\"map_info\"][\"width\"]\n    height_meter = json_data[\"map_info\"][\"height\"]\n\n    # Load floor map as image\n    floor_img = plt.imread(f\"{path}/metadata/{sample_building}/{sample_floor}/floor_image.png\")\n\n    # Get datapoints for single beacon\n    ble_df = ble_list[ble_list.id ==identifier]\n\n    # Scale x, y, and distance to match floor with sclaer = floor_img.shape[0] / height_meter = floor_img.shape[1] / width_meter)\n    ble_df[\"x_scaled\"] = ble_df[\"x\"] * floor_img.shape[0] / height_meter\n    ble_df[\"y_scaled\"] = (ble_df[\"y\"] * -1 * floor_img.shape[1] / width_meter) + floor_img.shape[0]\n    ble_df[\"distance_scaled\"] = ble_df[\"distance\"].astype(float) * floor_img.shape[0] / height_meter\n\n    # Plot distance to beacon from x,y position as circle \n    fig, ax = plt.subplots(figsize=(12, 12))\n    plt.imshow(floor_img)\n    for i in range(len(ble_df)):\n        circle=plt.Circle((ble_df[\"x_scaled\"].values[i], ble_df[\"y_scaled\"].values[i]), ble_df[\"distance_scaled\"].values[i], color='dodgerblue', fill=False)\n        ax.add_patch(circle)\n    ax.set_title(f\"Building {building}, Floor {floor} \\n Beacon ID {identifier}\")\n    plt.show()","metadata":{"execution":{"iopub.status.busy":"2023-05-02T02:05:49.369505Z","iopub.execute_input":"2023-05-02T02:05:49.369882Z","iopub.status.idle":"2023-05-02T02:05:49.379512Z","shell.execute_reply.started":"2023-05-02T02:05:49.369848Z","shell.execute_reply":"2023-05-02T02:05:49.378494Z"},"trusted":true},"execution_count":32,"outputs":[]},{"cell_type":"code","source":"plot_ibeacon_signal(PATH, sample_building, sample_floor, \"89cb11b04122cef23388b0da06bd426c1f48a9b5_cfc84f0752adc96b489f71195d91a946c5f6d3e8_8159618423dfa22f1ca0b62543e2f18eef630ce8\")","metadata":{"execution":{"iopub.status.busy":"2023-05-02T02:05:55.147446Z","iopub.execute_input":"2023-05-02T02:05:55.147839Z","iopub.status.idle":"2023-05-02T02:06:06.563855Z","shell.execute_reply.started":"2023-05-02T02:05:55.147802Z","shell.execute_reply":"2023-05-02T02:06:06.562719Z"},"trusted":true},"execution_count":33,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 864x864 with 1 Axes>","image/png":"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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","source":"ble_list = pd.DataFrame()\ndf = train_df[train_df.building == sample_building]\n\nfor floor in tqdm(df.floor.unique()):\n    files = df[df.floor == floor].path.unique()\n\n    for file in (files):\n\n        path = read_data_file(f\"{PATH}train/{sample_building}/{floor}/{file}\")\n\n        # Get path's wifi and waypoint data\n        ibeacon_df = to_frame(path.ibeacon,'ibeacon')\n        waypoint_df = to_frame(path.waypoint,'waypoint')\n\n        # Combine wifi and waypoint dataframe to one dataframe\n        ibeacon_df_grouped = ibeacon_df.groupby('timestamp')['id'].nunique().to_frame().reset_index(drop=False)\n        waypoint_ble_combined = pd.concat([ibeacon_df_grouped, waypoint_df])\n        waypoint_ble_combined = waypoint_ble_combined.sort_values(by='timestamp').reset_index(drop=True)\n\n        # Interpolate waypoint data for wifi timestamps\n        waypoint_ble_combined.x = waypoint_ble_combined.x.interpolate()\n        waypoint_ble_combined.y = waypoint_ble_combined.y.interpolate()\n\n        # Map wifi timestamps to wifi dataframe\n        ble_df_with_waypoint = ibeacon_df.merge(waypoint_ble_combined[['timestamp', 'x', 'y']], on='timestamp', how='left')\n\n        ble_df_with_waypoint['floor'] = floor\n        # Append to dataframe holding all wifi data for this floor\n        ble_list = ble_list.append(ble_df_with_waypoint)\n\nble_list.distance = ble_list.distance.astype(float)","metadata":{"execution":{"iopub.status.busy":"2023-05-04T10:14:36.764722Z","iopub.execute_input":"2023-05-04T10:14:36.76505Z","iopub.status.idle":"2023-05-04T10:15:06.441909Z","shell.execute_reply.started":"2023-05-04T10:14:36.765018Z","shell.execute_reply":"2023-05-04T10:15:06.440877Z"},"trusted":true},"execution_count":21,"outputs":[{"name":"stderr","text":"100%|██████████| 5/5 [00:29<00:00,  5.92s/it]\n","output_type":"stream"},{"output_type":"display_data","data":{"text/plain":"<pandas.io.formats.style.Styler at 0x71257d2390d0>","text/html":"<style  type=\"text/css\" >\n</style><table id=\"T_e75f8_\" ><caption>All iBeacon data for building 5a0546857ecc773753327266</caption><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >timestamp</th>        <th class=\"col_heading level0 col1\" >id</th>        <th class=\"col_heading level0 col2\" >rssi</th>        <th class=\"col_heading level0 col3\" >distance</th>        <th class=\"col_heading level0 col4\" >x</th>        <th class=\"col_heading level0 col5\" >y</th>        <th class=\"col_heading level0 col6\" >floor</th>    </tr></thead><tbody>\n                <tr>\n                        <th id=\"T_e75f8_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n                        <td id=\"T_e75f8_row0_col0\" class=\"data row0 col0\" >1578467409433</td>\n                        <td id=\"T_e75f8_row0_col1\" class=\"data row0 col1\" >d9c573b719a17da4836208fc436f87b5ca1aa877_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c</td>\n                        <td id=\"T_e75f8_row0_col2\" class=\"data row0 col2\" >-84</td>\n                        <td id=\"T_e75f8_row0_col3\" class=\"data row0 col3\" >20.608564</td>\n                        <td id=\"T_e75f8_row0_col4\" class=\"data row0 col4\" >107.612445</td>\n                        <td id=\"T_e75f8_row0_col5\" class=\"data row0 col5\" >161.928888</td>\n                        <td id=\"T_e75f8_row0_col6\" class=\"data row0 col6\" >B1</td>\n            </tr>\n            <tr>\n                        <th id=\"T_e75f8_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n                        <td id=\"T_e75f8_row1_col0\" class=\"data row1 col0\" >1578467409634</td>\n                        <td id=\"T_e75f8_row1_col1\" class=\"data row1 col1\" >d9c573b719a17da4836208fc436f87b5ca1aa877_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c</td>\n                        <td id=\"T_e75f8_row1_col2\" class=\"data row1 col2\" >-85</td>\n                        <td id=\"T_e75f8_row1_col3\" class=\"data row1 col3\" >22.566684</td>\n                        <td id=\"T_e75f8_row1_col4\" class=\"data row1 col4\" >107.374451</td>\n                        <td id=\"T_e75f8_row1_col5\" class=\"data row1 col5\" >161.965156</td>\n                        <td id=\"T_e75f8_row1_col6\" class=\"data row1 col6\" >B1</td>\n            </tr>\n            <tr>\n                        <th id=\"T_e75f8_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n                        <td id=\"T_e75f8_row2_col0\" class=\"data row2 col0\" >1578467410406</td>\n                        <td id=\"T_e75f8_row2_col1\" class=\"data row2 col1\" >d9c573b719a17da4836208fc436f87b5ca1aa877_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c</td>\n                        <td id=\"T_e75f8_row2_col2\" class=\"data row2 col2\" >-84</td>\n                        <td id=\"T_e75f8_row2_col3\" class=\"data row2 col3\" >20.608564</td>\n                        <td id=\"T_e75f8_row2_col4\" class=\"data row2 col4\" >107.136456</td>\n                        <td id=\"T_e75f8_row2_col5\" class=\"data row2 col5\" >162.001424</td>\n                        <td id=\"T_e75f8_row2_col6\" class=\"data row2 col6\" >B1</td>\n            </tr>\n            <tr>\n                        <th id=\"T_e75f8_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n                        <td id=\"T_e75f8_row3_col0\" class=\"data row3 col0\" >1578467410453</td>\n                        <td id=\"T_e75f8_row3_col1\" class=\"data row3 col1\" >d9c573b719a17da4836208fc436f87b5ca1aa877_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c</td>\n                        <td id=\"T_e75f8_row3_col2\" class=\"data row3 col2\" >-85</td>\n                        <td id=\"T_e75f8_row3_col3\" class=\"data row3 col3\" >22.566684</td>\n                        <td id=\"T_e75f8_row3_col4\" class=\"data row3 col4\" >106.898461</td>\n                        <td id=\"T_e75f8_row3_col5\" class=\"data row3 col5\" >162.037692</td>\n                        <td id=\"T_e75f8_row3_col6\" class=\"data row3 col6\" >B1</td>\n            </tr>\n            <tr>\n                        <th id=\"T_e75f8_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n                        <td id=\"T_e75f8_row4_col0\" class=\"data row4 col0\" >1578467410485</td>\n                        <td id=\"T_e75f8_row4_col1\" class=\"data row4 col1\" >4e9d3569a79dcbd102831d1bd587aa4e868ae797_20a3404e313632fda2f7d36e5e61f744a260ac4f_acc3938f2906d73cf4d4a2ac30077892bf572304</td>\n                        <td id=\"T_e75f8_row4_col2\" class=\"data row4 col2\" >-86</td>\n                        <td id=\"T_e75f8_row4_col3\" class=\"data row4 col3\" >16.545591</td>\n                        <td id=\"T_e75f8_row4_col4\" class=\"data row4 col4\" >106.660466</td>\n                        <td id=\"T_e75f8_row4_col5\" class=\"data row4 col5\" >162.073960</td>\n                        <td id=\"T_e75f8_row4_col6\" class=\"data row4 col6\" >B1</td>\n            </tr>\n    </tbody></table>"},"metadata":{}}]},{"cell_type":"code","source":"# full \nfull_df = pd.DataFrame()\nfor sample_building in used_buildings:\n    ble_list = pd.DataFrame()\n    df = train_df[train_df.building == sample_building]\n\n    for floor in tqdm(df.floor.unique()):\n        files = df[df.floor == floor].path.unique()\n\n        for file in (files):\n\n            path = read_data_file(f\"{PATH}train/{sample_building}/{floor}/{file}\")\n\n            # Get path's wifi and waypoint data\n            ibeacon_df = to_frame(path.ibeacon,'ibeacon')\n            waypoint_df = to_frame(path.waypoint,'waypoint')\n\n            # Combine ibeacon and waypoint dataframe to one dataframe\n            ibeacon_df_grouped = ibeacon_df.groupby('timestamp')['id'].nunique().to_frame().reset_index(drop=False)\n            waypoint_ble_combined = pd.concat([ibeacon_df_grouped, waypoint_df])\n            waypoint_ble_combined = waypoint_ble_combined.sort_values(by='timestamp').reset_index(drop=True)\n\n            # Interpolate waypoint data for ibeacon timestamps\n            waypoint_ble_combined.x = waypoint_ble_combined.x.interpolate()\n            waypoint_ble_combined.y = waypoint_ble_combined.y.interpolate()\n\n            # Map wifi timestamps to ibeacon dataframe\n            ble_df_with_waypoint = ibeacon_df.merge(waypoint_ble_combined[['timestamp', 'x', 'y']], on='timestamp', how='left')\n\n            ble_df_with_waypoint['floor'] = floor\n            # Append to dataframe holding all ibeacon data for this floor\n            ble_list = ble_list.append(ble_df_with_waypoint)\n\n    ble_list.distance = ble_list.distance.astype(float)\n    ble_list['site'] = [sample_building] * ble_list.shape[0]\n    full_df = pd.concat((full_df, ble_list), axis=0)","metadata":{"execution":{"iopub.status.busy":"2023-05-05T07:17:21.978563Z","iopub.execute_input":"2023-05-05T07:17:21.978995Z","iopub.status.idle":"2023-05-05T07:30:59.211834Z","shell.execute_reply.started":"2023-05-05T07:17:21.978959Z","shell.execute_reply":"2023-05-05T07:30:59.210781Z"},"trusted":true},"execution_count":13,"outputs":[{"name":"stderr","text":"100%|██████████| 5/5 [00:47<00:00,  9.50s/it]\n100%|██████████| 6/6 [00:37<00:00,  6.32s/it]\n100%|██████████| 8/8 [02:17<00:00, 17.23s/it]\n100%|██████████| 7/7 [00:36<00:00,  5.17s/it]\n100%|██████████| 7/7 [00:26<00:00,  3.80s/it]\n100%|██████████| 5/5 [00:11<00:00,  2.34s/it]\n100%|██████████| 4/4 [00:16<00:00,  4.17s/it]\n100%|██████████| 5/5 [00:46<00:00,  9.21s/it]\n100%|██████████| 5/5 [00:35<00:00,  7.18s/it]\n100%|██████████| 10/10 [00:59<00:00,  5.97s/it]\n100%|██████████| 4/4 [00:15<00:00,  3.84s/it]\n100%|██████████| 6/6 [00:15<00:00,  2.61s/it]\n100%|██████████| 3/3 [00:05<00:00,  1.84s/it]\n100%|██████████| 6/6 [00:21<00:00,  3.53s/it]\n100%|██████████| 5/5 [00:28<00:00,  5.80s/it]\n100%|██████████| 3/3 [00:03<00:00,  1.19s/it]\n100%|██████████| 3/3 [00:17<00:00,  5.72s/it]\n100%|██████████| 4/4 [00:10<00:00,  2.52s/it]\n100%|██████████| 6/6 [00:21<00:00,  3.52s/it]\n100%|██████████| 6/6 [00:13<00:00,  2.23s/it]\n100%|██████████| 7/7 [00:34<00:00,  4.98s/it]\n100%|██████████| 8/8 [00:34<00:00,  4.37s/it]\n100%|██████████| 8/8 [00:55<00:00,  6.93s/it]\n100%|██████████| 8/8 [01:13<00:00,  9.21s/it]\n","output_type":"stream"}]},{"cell_type":"code","source":"full_df.to_csv(\"ibeacon.csv\")","metadata":{"execution":{"iopub.status.busy":"2023-05-04T11:07:14.954906Z","iopub.execute_input":"2023-05-04T11:07:14.955348Z","iopub.status.idle":"2023-05-04T11:07:32.211368Z","shell.execute_reply.started":"2023-05-04T11:07:14.955304Z","shell.execute_reply":"2023-05-04T11:07:32.21028Z"},"trusted":true},"execution_count":49,"outputs":[]},{"cell_type":"code","source":"ble_list.to_csv(f\"{sample_building}_ibeacon.csv\")","metadata":{"execution":{"iopub.status.busy":"2023-05-04T10:17:06.111771Z","iopub.execute_input":"2023-05-04T10:17:06.11221Z","iopub.status.idle":"2023-05-04T10:17:07.132378Z","shell.execute_reply.started":"2023-05-04T10:17:06.112158Z","shell.execute_reply":"2023-05-04T10:17:07.131223Z"},"trusted":true},"execution_count":28,"outputs":[]},{"cell_type":"code","source":"beacon_floor_mapping = ble_list[ble_list.distance < 3].groupby(['id', 'floor']).floor.count().to_frame()\nbeacon_floor_mapping.columns = ['num_signals']\nbeacon_floor_mapping = beacon_floor_mapping.reset_index(drop=False)\nbeacon_floor_mapping = beacon_floor_mapping.pivot(index = 'id', columns='floor').num_signals.fillna(0)\nbeacon_floor_mapping['located_on'] = beacon_floor_mapping.idxmax(axis=1)\nbeacon_floor_mapping.reset_index(drop=False, inplace=True)\nbeacon_floor_mapping.style.set_properties(subset=['id'], **{'width': '300px'}).background_gradient(subset=[\"B1\", \"F1\", \"F2\", \"F3\", \"F4\"], cmap='Blues', vmin=0, vmax=1500).format({\"B1\": \"{:.0f}\", \"F1\": \"{:.0f}\", \"F2\": \"{:.0f}\", \"F3\": \"{:.0f}\", \"F4\": \"{:.0f}\", \"F5\": \"{:.0f}\", }).set_caption('Number Strong iBeacon Signals in Sample Building')","metadata":{"execution":{"iopub.status.busy":"2023-05-02T02:09:56.091151Z","iopub.execute_input":"2023-05-02T02:09:56.092081Z","iopub.status.idle":"2023-05-02T02:09:56.188492Z","shell.execute_reply.started":"2023-05-02T02:09:56.092018Z","shell.execute_reply":"2023-05-02T02:09:56.187637Z"},"trusted":true},"execution_count":36,"outputs":[{"execution_count":36,"output_type":"execute_result","data":{"text/plain":"<pandas.io.formats.style.Styler at 0x763ec501a050>","text/html":"<style  type=\"text/css\" >\n#T_37d52_row0_col0,#T_37d52_row1_col0,#T_37d52_row2_col0,#T_37d52_row3_col0,#T_37d52_row4_col0,#T_37d52_row5_col0,#T_37d52_row6_col0,#T_37d52_row7_col0,#T_37d52_row8_col0,#T_37d52_row9_col0,#T_37d52_row10_col0,#T_37d52_row11_col0,#T_37d52_row12_col0,#T_37d52_row13_col0,#T_37d52_row14_col0,#T_37d52_row15_col0,#T_37d52_row16_col0,#T_37d52_row17_col0,#T_37d52_row18_col0,#T_37d52_row19_col0,#T_37d52_row20_col0,#T_37d52_row21_col0,#T_37d52_row22_col0{\n            width:  300px;\n  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           background-color:  #f7fbff;\n            color:  #000000;\n        }#T_37d52_row1_col3,#T_37d52_row20_col4{\n            background-color:  #e8f1fa;\n            color:  #000000;\n        }#T_37d52_row1_col4{\n            background-color:  #add0e6;\n            color:  #000000;\n        }#T_37d52_row1_col5{\n            background-color:  #2f7fbc;\n            color:  #000000;\n        }#T_37d52_row2_col3,#T_37d52_row20_col3{\n            background-color:  #f5f9fe;\n            color:  #000000;\n        }#T_37d52_row3_col1,#T_37d52_row7_col3{\n            background-color:  #eef5fc;\n            color:  #000000;\n        }#T_37d52_row4_col3{\n            background-color:  #dfebf7;\n            color:  #000000;\n        }#T_37d52_row4_col4{\n            background-color:  #cadef0;\n            color:  #000000;\n        }#T_37d52_row4_col5{\n            background-color:  #69add5;\n            color:  #000000;\n        }#T_37d52_row5_col3,#T_37d52_row11_col1,#T_37d52_row12_col1,#T_37d52_row16_col1{\n            background-color:  #f5fafe;\n            color:  #000000;\n        }#T_37d52_row6_col5{\n            background-color:  #c1d9ed;\n            color:  #000000;\n        }#T_37d52_row9_col1{\n            background-color:  #f2f8fd;\n            color:  #000000;\n        }#T_37d52_row13_col1,#T_37d52_row18_col1{\n            background-color:  #f6faff;\n            color:  #000000;\n        }#T_37d52_row19_col1,#T_37d52_row21_col5{\n            background-color:  #f0f6fd;\n            color:  #000000;\n        }#T_37d52_row20_col1{\n            background-color:  #afd1e7;\n            color:  #000000;\n        }#T_37d52_row20_col2{\n            background-color:  #f4f9fe;\n            color:  #000000;\n        }#T_37d52_row20_col5{\n            background-color:  #083370;\n            color:  #f1f1f1;\n        }#T_37d52_row22_col1{\n            background-color:  #08306b;\n            color:  #f1f1f1;\n        }#T_37d52_row22_col2{\n            background-color:  #084488;\n            color:  #f1f1f1;\n        }#T_37d52_row22_col3{\n            background-color:  #1d6cb1;\n            color:  #f1f1f1;\n        }#T_37d52_row22_col4{\n            background-color:  #99c7e0;\n            color:  #000000;\n        }#T_37d52_row22_col5{\n            background-color:  #6caed6;\n            color:  #000000;\n        }</style><table id=\"T_37d52_\" ><caption>Number Strong iBeacon Signals in Sample Building</caption><thead>    <tr>        <th class=\"index_name level0\" >floor</th>        <th class=\"col_heading level0 col0\" >id</th>        <th class=\"col_heading level0 col1\" >B1</th>        <th class=\"col_heading level0 col2\" >F1</th>        <th class=\"col_heading level0 col3\" >F2</th>        <th class=\"col_heading level0 col4\" >F3</th>        <th class=\"col_heading level0 col5\" >F4</th>        <th class=\"col_heading level0 col6\" >located_on</th>    </tr></thead><tbody>\n                <tr>\n                        <th id=\"T_37d52_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n                        <td id=\"T_37d52_row0_col0\" class=\"data row0 col0\" >0</td>\n                        <td id=\"T_37d52_row0_col1\" class=\"data row0 col1\" >0</td>\n                        <td id=\"T_37d52_row0_col2\" class=\"data row0 col2\" >1</td>\n                        <td id=\"T_37d52_row0_col3\" class=\"data row0 col3\" >0</td>\n                        <td id=\"T_37d52_row0_col4\" class=\"data row0 col4\" >0</td>\n                        <td id=\"T_37d52_row0_col5\" class=\"data row0 col5\" >0</td>\n                        <td id=\"T_37d52_row0_col6\" class=\"data row0 col6\" >F1</td>\n            </tr>\n            <tr>\n                        <th id=\"T_37d52_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n                        <td id=\"T_37d52_row1_col0\" class=\"data row1 col0\" >0e570c3406b79266b7ada12e3b9314e7bb9dde3e_105467452bce8bb223acb27e3a0d662b8a8583ef_87caf5330ee550f3626add0069e6c30425f47114</td>\n                        <td id=\"T_37d52_row1_col1\" class=\"data row1 col1\" >0</td>\n                        <td id=\"T_37d52_row1_col2\" class=\"data row1 col2\" >0</td>\n                        <td id=\"T_37d52_row1_col3\" class=\"data row1 col3\" >113</td>\n                        <td id=\"T_37d52_row1_col4\" class=\"data row1 col4\" >495</td>\n                        <td id=\"T_37d52_row1_col5\" class=\"data row1 col5\" >1048</td>\n                        <td id=\"T_37d52_row1_col6\" class=\"data row1 col6\" >F4</td>\n            </tr>\n            <tr>\n                        <th id=\"T_37d52_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n                        <td id=\"T_37d52_row2_col0\" class=\"data row2 col0\" >0e570c3406b79266b7ada12e3b9314e7bb9dde3e_722ac236bf7a70965a76cea769740ee588fc2fcc_b86de9f2464213c5f043332815a5701a9228ee06</td>\n                        <td id=\"T_37d52_row2_col1\" class=\"data row2 col1\" >0</td>\n                        <td id=\"T_37d52_row2_col2\" class=\"data row2 col2\" >0</td>\n                        <td id=\"T_37d52_row2_col3\" class=\"data row2 col3\" >18</td>\n                        <td id=\"T_37d52_row2_col4\" class=\"data row2 col4\" >0</td>\n                        <td id=\"T_37d52_row2_col5\" class=\"data row2 col5\" >0</td>\n                        <td id=\"T_37d52_row2_col6\" class=\"data row2 col6\" >F2</td>\n            </tr>\n            <tr>\n                        <th id=\"T_37d52_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n                        <td id=\"T_37d52_row3_col0\" class=\"data row3 col0\" >0e570c3406b79266b7ada12e3b9314e7bb9dde3e_7a98a214044170726a7f85cab7464de445d337d8_3a8b173461bfb483525ae445574ffbe45d8cf1e7</td>\n                        <td id=\"T_37d52_row3_col1\" class=\"data row3 col1\" >72</td>\n                        <td id=\"T_37d52_row3_col2\" class=\"data row3 col2\" >0</td>\n                        <td id=\"T_37d52_row3_col3\" class=\"data row3 col3\" >0</td>\n                        <td id=\"T_37d52_row3_col4\" class=\"data row3 col4\" >0</td>\n                        <td id=\"T_37d52_row3_col5\" class=\"data row3 col5\" >0</td>\n                        <td id=\"T_37d52_row3_col6\" class=\"data row3 col6\" >B1</td>\n            </tr>\n            <tr>\n                        <th id=\"T_37d52_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n                        <td id=\"T_37d52_row4_col0\" class=\"data row4 col0\" >0e570c3406b79266b7ada12e3b9314e7bb9dde3e_92ed4ef3d6fbb4bbb7e57a183e4be12e8faf10ae_fd160937a5d8326b338ff5da5c2cd52589eaec0a</td>\n                        <td id=\"T_37d52_row4_col1\" class=\"data row4 col1\" >0</td>\n                        <td id=\"T_37d52_row4_col2\" class=\"data row4 col2\" >0</td>\n                        <td id=\"T_37d52_row4_col3\" class=\"data row4 col3\" >183</td>\n                        <td id=\"T_37d52_row4_col4\" class=\"data row4 col4\" >341</td>\n                        <td id=\"T_37d52_row4_col5\" class=\"data row4 col5\" >760</td>\n                        <td id=\"T_37d52_row4_col6\" class=\"data row4 col6\" >F4</td>\n            </tr>\n            <tr>\n                        <th id=\"T_37d52_level0_row5\" class=\"row_heading level0 row5\" >5</th>\n                        <td id=\"T_37d52_row5_col0\" class=\"data row5 col0\" >0e570c3406b79266b7ada12e3b9314e7bb9dde3e_a437c886d15269935cd97a1fdb3f4306676ad1e4_718d6f020b5eb3ccd3c574d48602bec0cd1b5777</td>\n                        <td id=\"T_37d52_row5_col1\" class=\"data row5 col1\" >0</td>\n                        <td id=\"T_37d52_row5_col2\" class=\"data row5 col2\" >2</td>\n                        <td id=\"T_37d52_row5_col3\" class=\"data row5 col3\" >14</td>\n                        <td id=\"T_37d52_row5_col4\" class=\"data row5 col4\" >4</td>\n                        <td id=\"T_37d52_row5_col5\" class=\"data row5 col5\" >0</td>\n                        <td id=\"T_37d52_row5_col6\" class=\"data row5 col6\" >F2</td>\n            </tr>\n            <tr>\n                        <th id=\"T_37d52_level0_row6\" class=\"row_heading level0 row6\" >6</th>\n                        <td id=\"T_37d52_row6_col0\" class=\"data row6 col0\" >0e570c3406b79266b7ada12e3b9314e7bb9dde3e_b17656c96367beb7e3dfa2463ec218335590db73_f03c078b3c540369f3046d05aa075413ecd64229</td>\n                        <td id=\"T_37d52_row6_col1\" class=\"data row6 col1\" >0</td>\n                        <td id=\"T_37d52_row6_col2\" class=\"data row6 col2\" >0</td>\n                        <td id=\"T_37d52_row6_col3\" class=\"data row6 col3\" >0</td>\n                        <td id=\"T_37d52_row6_col4\" class=\"data row6 col4\" >1</td>\n                        <td id=\"T_37d52_row6_col5\" class=\"data row6 col5\" >399</td>\n                        <td id=\"T_37d52_row6_col6\" class=\"data row6 col6\" >F4</td>\n            </tr>\n            <tr>\n                        <th id=\"T_37d52_level0_row7\" class=\"row_heading level0 row7\" >7</th>\n                        <td id=\"T_37d52_row7_col0\" class=\"data row7 col0\" >0e570c3406b79266b7ada12e3b9314e7bb9dde3e_fce3e795faa76ce7101526e927314db863173a23_8da83ccf430ee7eef2d965c4218617950bad70af</td>\n                        <td id=\"T_37d52_row7_col1\" class=\"data row7 col1\" >0</td>\n                        <td id=\"T_37d52_row7_col2\" class=\"data row7 col2\" >0</td>\n                        <td id=\"T_37d52_row7_col3\" class=\"data row7 col3\" >75</td>\n                        <td id=\"T_37d52_row7_col4\" class=\"data row7 col4\" >0</td>\n                        <td id=\"T_37d52_row7_col5\" class=\"data row7 col5\" >1</td>\n                        <td id=\"T_37d52_row7_col6\" class=\"data row7 col6\" >F2</td>\n            </tr>\n            <tr>\n                        <th id=\"T_37d52_level0_row8\" class=\"row_heading level0 row8\" >8</th>\n                        <td id=\"T_37d52_row8_col0\" class=\"data row8 col0\" >4e9d3569a79dcbd102831d1bd587aa4e868ae797_19b6ee2ed1caaa5da985e257400b93ad4e778392_d1a6f5c91167c4a493a9ac28d392a53c43b13f97</td>\n                        <td id=\"T_37d52_row8_col1\" class=\"data row8 col1\" >5</td>\n                        <td id=\"T_37d52_row8_col2\" class=\"data row8 col2\" >0</td>\n                        <td id=\"T_37d52_row8_col3\" class=\"data row8 col3\" >0</td>\n                        <td id=\"T_37d52_row8_col4\" class=\"data row8 col4\" >0</td>\n                        <td id=\"T_37d52_row8_col5\" class=\"data row8 col5\" >0</td>\n                        <td id=\"T_37d52_row8_col6\" class=\"data row8 col6\" >B1</td>\n            </tr>\n            <tr>\n                        <th id=\"T_37d52_level0_row9\" class=\"row_heading level0 row9\" >9</th>\n                        <td id=\"T_37d52_row9_col0\" class=\"data row9 col0\" >4e9d3569a79dcbd102831d1bd587aa4e868ae797_249099ee316405c26b2e500b5a6eb928c1ceeb46_6f5b413f8ffcda50a4fd4f4953b1cb5d28ebb95f</td>\n                        <td id=\"T_37d52_row9_col1\" class=\"data row9 col1\" >38</td>\n                        <td id=\"T_37d52_row9_col2\" class=\"data row9 col2\" >0</td>\n                        <td id=\"T_37d52_row9_col3\" class=\"data row9 col3\" >0</td>\n                        <td id=\"T_37d52_row9_col4\" class=\"data row9 col4\" >0</td>\n                        <td id=\"T_37d52_row9_col5\" class=\"data row9 col5\" >0</td>\n                        <td id=\"T_37d52_row9_col6\" class=\"data row9 col6\" >B1</td>\n            </tr>\n            <tr>\n                        <th id=\"T_37d52_level0_row10\" class=\"row_heading level0 row10\" >10</th>\n                        <td id=\"T_37d52_row10_col0\" class=\"data row10 col0\" >4e9d3569a79dcbd102831d1bd587aa4e868ae797_2be4ebd5d986f25c1c84ff3d1536595914dab649_6b742085bcd69795bc6f371a635f62f3b2e3e2c5</td>\n                        <td id=\"T_37d52_row10_col1\" class=\"data row10 col1\" >1</td>\n                        <td id=\"T_37d52_row10_col2\" class=\"data row10 col2\" >0</td>\n                        <td id=\"T_37d52_row10_col3\" class=\"data row10 col3\" >0</td>\n                        <td id=\"T_37d52_row10_col4\" class=\"data row10 col4\" >0</td>\n                        <td id=\"T_37d52_row10_col5\" class=\"data row10 col5\" >0</td>\n                        <td id=\"T_37d52_row10_col6\" class=\"data row10 col6\" >B1</td>\n            </tr>\n            <tr>\n                        <th id=\"T_37d52_level0_row11\" class=\"row_heading level0 row11\" >11</th>\n                        <td id=\"T_37d52_row11_col0\" class=\"data row11 col0\" >4e9d3569a79dcbd102831d1bd587aa4e868ae797_6052521b7625e31d4ee9cc706732484fcf850877_ab463e3b2f1400bc0ab2fde690f7d5a7bc197d69</td>\n                        <td id=\"T_37d52_row11_col1\" class=\"data row11 col1\" >15</td>\n                        <td id=\"T_37d52_row11_col2\" class=\"data row11 col2\" >0</td>\n                        <td id=\"T_37d52_row11_col3\" class=\"data row11 col3\" >0</td>\n                        <td id=\"T_37d52_row11_col4\" class=\"data row11 col4\" >0</td>\n                        <td id=\"T_37d52_row11_col5\" class=\"data row11 col5\" >0</td>\n                        <td id=\"T_37d52_row11_col6\" class=\"data row11 col6\" >B1</td>\n            </tr>\n            <tr>\n                        <th id=\"T_37d52_level0_row12\" class=\"row_heading level0 row12\" >12</th>\n                        <td id=\"T_37d52_row12_col0\" class=\"data row12 col0\" >4e9d3569a79dcbd102831d1bd587aa4e868ae797_67f29c460347b9c56285296cc2c6fac003604b8d_ae5796a43a2c5de3cab634a342a7f9fa1d25154f</td>\n                        <td id=\"T_37d52_row12_col1\" class=\"data row12 col1\" >13</td>\n                        <td id=\"T_37d52_row12_col2\" class=\"data row12 col2\" >0</td>\n                        <td id=\"T_37d52_row12_col3\" class=\"data row12 col3\" >0</td>\n                        <td id=\"T_37d52_row12_col4\" class=\"data row12 col4\" >0</td>\n                        <td id=\"T_37d52_row12_col5\" class=\"data row12 col5\" >0</td>\n                        <td id=\"T_37d52_row12_col6\" class=\"data row12 col6\" >B1</td>\n            </tr>\n            <tr>\n                        <th id=\"T_37d52_level0_row13\" class=\"row_heading level0 row13\" >13</th>\n                        <td id=\"T_37d52_row13_col0\" class=\"data row13 col0\" >4e9d3569a79dcbd102831d1bd587aa4e868ae797_823b278fb8a8127ef133769445aeda5fbb0199e6_6d8c035c3494bc007a016b226e49a76e5663400d</td>\n                        <td id=\"T_37d52_row13_col1\" class=\"data row13 col1\" >6</td>\n                        <td id=\"T_37d52_row13_col2\" class=\"data row13 col2\" >0</td>\n                        <td id=\"T_37d52_row13_col3\" class=\"data row13 col3\" >0</td>\n                        <td id=\"T_37d52_row13_col4\" class=\"data row13 col4\" >0</td>\n                        <td id=\"T_37d52_row13_col5\" class=\"data row13 col5\" >0</td>\n                        <td id=\"T_37d52_row13_col6\" class=\"data row13 col6\" >B1</td>\n            </tr>\n            <tr>\n                        <th id=\"T_37d52_level0_row14\" class=\"row_heading level0 row14\" >14</th>\n                        <td id=\"T_37d52_row14_col0\" class=\"data row14 col0\" >4e9d3569a79dcbd102831d1bd587aa4e868ae797_83a601a311a42f941195a9ab7f5cd9904b033a3e_107e306771fda93b08f2549d16eb38ec460fe4fd</td>\n                        <td id=\"T_37d52_row14_col1\" class=\"data row14 col1\" >4</td>\n                        <td id=\"T_37d52_row14_col2\" class=\"data row14 col2\" >0</td>\n                        <td id=\"T_37d52_row14_col3\" class=\"data row14 col3\" >0</td>\n                        <td id=\"T_37d52_row14_col4\" class=\"data row14 col4\" >0</td>\n                        <td id=\"T_37d52_row14_col5\" class=\"data row14 col5\" >0</td>\n                        <td id=\"T_37d52_row14_col6\" class=\"data row14 col6\" >B1</td>\n            </tr>\n            <tr>\n                        <th id=\"T_37d52_level0_row15\" class=\"row_heading level0 row15\" >15</th>\n                        <td id=\"T_37d52_row15_col0\" class=\"data row15 col0\" >4e9d3569a79dcbd102831d1bd587aa4e868ae797_8e2a8649721b11311183e041643787b0a1cc4823_1c7665211f0fdd13eea3cce72e78db075cd4e5ae</td>\n                        <td id=\"T_37d52_row15_col1\" class=\"data row15 col1\" >1</td>\n                        <td id=\"T_37d52_row15_col2\" class=\"data row15 col2\" >0</td>\n                        <td id=\"T_37d52_row15_col3\" class=\"data row15 col3\" >0</td>\n                        <td id=\"T_37d52_row15_col4\" class=\"data row15 col4\" >0</td>\n                        <td id=\"T_37d52_row15_col5\" class=\"data row15 col5\" >0</td>\n                        <td id=\"T_37d52_row15_col6\" class=\"data row15 col6\" >B1</td>\n            </tr>\n            <tr>\n                        <th id=\"T_37d52_level0_row16\" class=\"row_heading level0 row16\" >16</th>\n                        <td id=\"T_37d52_row16_col0\" class=\"data row16 col0\" >4e9d3569a79dcbd102831d1bd587aa4e868ae797_ef912d993ba9390995ad358f1f698164f604ad9f_156b02ac8f89c8386ab1e96084d29579563defb5</td>\n                        <td id=\"T_37d52_row16_col1\" class=\"data row16 col1\" >17</td>\n                        <td id=\"T_37d52_row16_col2\" class=\"data row16 col2\" >0</td>\n                        <td id=\"T_37d52_row16_col3\" class=\"data row16 col3\" >0</td>\n                        <td id=\"T_37d52_row16_col4\" class=\"data row16 col4\" >0</td>\n                        <td id=\"T_37d52_row16_col5\" class=\"data row16 col5\" >0</td>\n                        <td id=\"T_37d52_row16_col6\" class=\"data row16 col6\" >B1</td>\n            </tr>\n            <tr>\n                        <th id=\"T_37d52_level0_row17\" class=\"row_heading level0 row17\" >17</th>\n                        <td id=\"T_37d52_row17_col0\" class=\"data row17 col0\" >4e9d3569a79dcbd102831d1bd587aa4e868ae797_f5f12f210419dc1a2ebc66e4b4cafc7f20f2e4f5_6bffc534faf01d8504acd7a520c6680e90557a9a</td>\n                        <td id=\"T_37d52_row17_col1\" class=\"data row17 col1\" >1</td>\n                        <td id=\"T_37d52_row17_col2\" class=\"data row17 col2\" >0</td>\n                        <td id=\"T_37d52_row17_col3\" class=\"data row17 col3\" >0</td>\n                        <td id=\"T_37d52_row17_col4\" class=\"data row17 col4\" >0</td>\n                        <td id=\"T_37d52_row17_col5\" class=\"data row17 col5\" >0</td>\n                        <td id=\"T_37d52_row17_col6\" class=\"data row17 col6\" >B1</td>\n            </tr>\n            <tr>\n                        <th id=\"T_37d52_level0_row18\" class=\"row_heading level0 row18\" >18</th>\n                        <td id=\"T_37d52_row18_col0\" class=\"data row18 col0\" >5c860e384c72e74a506cd3117097499330dd6beb_adbd8574e90a556000511e018c8363e21b8647f1_1ba115d9fd03ce697e70d30c0e832216790a2ae4</td>\n                        <td id=\"T_37d52_row18_col1\" class=\"data row18 col1\" >6</td>\n                        <td id=\"T_37d52_row18_col2\" class=\"data row18 col2\" >0</td>\n                        <td id=\"T_37d52_row18_col3\" class=\"data row18 col3\" >0</td>\n                        <td id=\"T_37d52_row18_col4\" class=\"data row18 col4\" >0</td>\n                        <td id=\"T_37d52_row18_col5\" class=\"data row18 col5\" >0</td>\n                        <td id=\"T_37d52_row18_col6\" class=\"data row18 col6\" >B1</td>\n            </tr>\n            <tr>\n                        <th id=\"T_37d52_level0_row19\" class=\"row_heading level0 row19\" >19</th>\n                        <td id=\"T_37d52_row19_col0\" class=\"data row19 col0\" >89cb11b04122cef23388b0da06bd426c1f48a9b5_cf6a3f231c7e5b8eaf8f68a6ce36997bd685167c_92e862c4f60e32344ddc4628d85166e5421b2d51</td>\n                        <td id=\"T_37d52_row19_col1\" class=\"data row19 col1\" >54</td>\n                        <td id=\"T_37d52_row19_col2\" class=\"data row19 col2\" >0</td>\n                        <td id=\"T_37d52_row19_col3\" class=\"data row19 col3\" >0</td>\n                        <td id=\"T_37d52_row19_col4\" class=\"data row19 col4\" >0</td>\n                        <td id=\"T_37d52_row19_col5\" class=\"data row19 col5\" >0</td>\n                        <td id=\"T_37d52_row19_col6\" class=\"data row19 col6\" >B1</td>\n            </tr>\n            <tr>\n                        <th id=\"T_37d52_level0_row20\" class=\"row_heading level0 row20\" >20</th>\n                        <td id=\"T_37d52_row20_col0\" class=\"data row20 col0\" >89cb11b04122cef23388b0da06bd426c1f48a9b5_cfc84f0752adc96b489f71195d91a946c5f6d3e8_8159618423dfa22f1ca0b62543e2f18eef630ce8</td>\n                        <td id=\"T_37d52_row20_col1\" class=\"data row20 col1\" >485</td>\n                        <td id=\"T_37d52_row20_col2\" class=\"data row20 col2\" >27</td>\n                        <td id=\"T_37d52_row20_col3\" class=\"data row20 col3\" >18</td>\n                        <td id=\"T_37d52_row20_col4\" class=\"data row20 col4\" >114</td>\n                        <td id=\"T_37d52_row20_col5\" class=\"data row20 col5\" >1482</td>\n                        <td id=\"T_37d52_row20_col6\" class=\"data row20 col6\" >F4</td>\n            </tr>\n            <tr>\n                        <th id=\"T_37d52_level0_row21\" class=\"row_heading level0 row21\" >21</th>\n                        <td id=\"T_37d52_row21_col0\" class=\"data row21 col0\" >bd4bff1e265e9ba99298c34da216091959537328_8e2f1e7900e091b55c115ed75337cabb94634bce_5b498d58f923b02d572c4d349ca45637b86a2942</td>\n                        <td id=\"T_37d52_row21_col1\" class=\"data row21 col1\" >0</td>\n                        <td id=\"T_37d52_row21_col2\" class=\"data row21 col2\" >0</td>\n                        <td id=\"T_37d52_row21_col3\" class=\"data row21 col3\" >0</td>\n                        <td id=\"T_37d52_row21_col4\" class=\"data row21 col4\" >0</td>\n                        <td id=\"T_37d52_row21_col5\" class=\"data row21 col5\" >53</td>\n                        <td id=\"T_37d52_row21_col6\" class=\"data row21 col6\" >F4</td>\n            </tr>\n            <tr>\n                        <th id=\"T_37d52_level0_row22\" class=\"row_heading level0 row22\" >22</th>\n                        <td id=\"T_37d52_row22_col0\" class=\"data row22 col0\" >d9c573b719a17da4836208fc436f87b5ca1aa877_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c_b6589fc6ab0dc82cf12099d1c2d40ab994e8410c</td>\n                        <td id=\"T_37d52_row22_col1\" class=\"data row22 col1\" >1739</td>\n                        <td id=\"T_37d52_row22_col2\" class=\"data row22 col2\" >1387</td>\n                        <td id=\"T_37d52_row22_col3\" class=\"data row22 col3\" >1151</td>\n                        <td id=\"T_37d52_row22_col4\" class=\"data row22 col4\" >582</td>\n                        <td id=\"T_37d52_row22_col5\" class=\"data row22 col5\" >745</td>\n                        <td id=\"T_37d52_row22_col6\" class=\"data row22 col6\" >B1</td>\n            </tr>\n    </tbody></table>"},"metadata":{}}]},{"cell_type":"code","source":"path = read_data_file(sample_path)\n\n# Get path's wifi and waypoint data\nibeacon_df = to_frame(path.ibeacon,'ibeacon')\nwaypoint_df = to_frame(path.waypoint,'waypoint')\n\n# Combine wifi and waypoint dataframe to one dataframe\nibeacon_df_grouped = ibeacon_df.groupby('timestamp')['id'].nunique().to_frame().reset_index(drop=False)\nwaypoint_ble_combined = pd.concat([ibeacon_df_grouped, waypoint_df])\nwaypoint_ble_combined = waypoint_ble_combined.sort_values(by='timestamp').reset_index(drop=True)\n\n# Interpolate waypoint data for wifi timestamps\nwaypoint_ble_combined.x = waypoint_ble_combined.x.interpolate()\nwaypoint_ble_combined.y = waypoint_ble_combined.y.interpolate()\n\n# Map wifi timestamps to wifi dataframe\nble_df_with_waypoint = ibeacon_df.merge(waypoint_ble_combined[['timestamp', 'x', 'y']], on='timestamp', how='left')\n\n# Merge with lookup table\nX = ble_df_with_waypoint.merge(beacon_floor_mapping[['id', 'located_on']], on='id', how='left')\nX.distance = X.distance.astype(float)\ndisplay(X.head())","metadata":{"execution":{"iopub.status.busy":"2023-05-02T02:09:58.649284Z","iopub.execute_input":"2023-05-02T02:09:58.649887Z","iopub.status.idle":"2023-05-02T02:09:58.748074Z","shell.execute_reply.started":"2023-05-02T02:09:58.649825Z","shell.execute_reply":"2023-05-02T02:09:58.747111Z"},"trusted":true},"execution_count":37,"outputs":[{"output_type":"display_data","data":{"text/plain":"       timestamp                                                 id rssi  \\\n0  1578462996867  d9c573b719a17da4836208fc436f87b5ca1aa877_b6589...  -76   \n1  1578462996902  d9c573b719a17da4836208fc436f87b5ca1aa877_b6589...  -57   \n2  1578462996927  d9c573b719a17da4836208fc436f87b5ca1aa877_b6589...  -59   \n3  1578462996956  d9c573b719a17da4836208fc436f87b5ca1aa877_b6589...  -75   \n4  1578462996976  d9c573b719a17da4836208fc436f87b5ca1aa877_b6589...  -65   \n\n   distance           x           y located_on  \n0  9.586529  223.011787  154.789054         B1  \n1  1.142308  222.925154  154.802917         B1  \n2  1.456410  222.838521  154.816781         B1  \n3  8.666707  222.751889  154.830645         B1  \n4  2.949746  222.665256  154.844508         B1  ","text/html":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>timestamp</th>\n      <th>id</th>\n      <th>rssi</th>\n      <th>distance</th>\n      <th>x</th>\n      <th>y</th>\n      <th>located_on</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1578462996867</td>\n      <td>d9c573b719a17da4836208fc436f87b5ca1aa877_b6589...</td>\n      <td>-76</td>\n      <td>9.586529</td>\n      <td>223.011787</td>\n      <td>154.789054</td>\n      <td>B1</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1578462996902</td>\n      <td>d9c573b719a17da4836208fc436f87b5ca1aa877_b6589...</td>\n      <td>-57</td>\n      <td>1.142308</td>\n      <td>222.925154</td>\n      <td>154.802917</td>\n      <td>B1</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>1578462996927</td>\n      <td>d9c573b719a17da4836208fc436f87b5ca1aa877_b6589...</td>\n      <td>-59</td>\n      <td>1.456410</td>\n      <td>222.838521</td>\n      <td>154.816781</td>\n      <td>B1</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>1578462996956</td>\n      <td>d9c573b719a17da4836208fc436f87b5ca1aa877_b6589...</td>\n      <td>-75</td>\n      <td>8.666707</td>\n      <td>222.751889</td>\n      <td>154.830645</td>\n      <td>B1</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>1578462996976</td>\n      <td>d9c573b719a17da4836208fc436f87b5ca1aa877_b6589...</td>\n      <td>-65</td>\n      <td>2.949746</td>\n      <td>222.665256</td>\n      <td>154.844508</td>\n      <td>B1</td>\n    </tr>\n  </tbody>\n</table>\n</div>"},"metadata":{}}]},{"cell_type":"code","source":"# Assign each iBeacon distance to a waypoint position in building.\nfrom dataclasses import dataclass\n\n@dataclass\nclass ReadData:\n    # Removed other signal info acquisition for simplicity reasons ...\n    ibeacon: np.ndarray\n    waypoint: np.ndarray\n\n\ndef read_data_file(data_filename):\n    # Removed other signal info acquisition for simplicity reasons ...\n    ibeacon = []\n    waypoint = []\n\n    with open(data_filename, 'r', encoding='utf-8') as file:\n        lines = file.readlines()\n\n    for line_data in lines:\n        line_data = line_data.strip()\n        if not line_data or line_data[0] == '#':\n            continue\n\n        line_data = line_data.split('\\t')\n\n        # Removed other signal info acquisition for simplicity reasons ...\n\n        if line_data[1] == 'TYPE_BEACON':\n            ts = line_data[0]\n            uuid = line_data[2]\n            major = line_data[3]\n            minor = line_data[4]\n            rssi = line_data[6]\n            distance = line_data[7] # Newly added\n            \n            ibeacon_data = [ts, '_'.join([uuid, major, minor]), rssi, distance]\n            \n            ibeacon.append(ibeacon_data)\n            continue\n\n        if line_data[1] == 'TYPE_WAYPOINT':\n            waypoint.append([int(line_data[0]), float(line_data[2]), float(line_data[3])])\n\n    # Removed other signal info acquisition for simplicity reasons ...\n\n    ibeacon = np.array(ibeacon)\n    waypoint = np.array(waypoint)\n\n    return ReadData(ibeacon, waypoint)\n\ndef encode_floor(floor):\n    \"\"\"\n    Encodes floor string to integer\n    \"\"\"\n    # Get floor number\n    encoded_floor = int(re.findall('[0-9]+', floor)[0])\n    \n    if floor.find('B') == 0:\n        # Multiply with -1 incase of B floor\n        encoded_floor = (-1)*encoded_floor\n    else: \n        # Subtract one floor to start at 0 for F1\n        encoded_floor = encoded_floor -1\n        \n    return encoded_floor\n\n# The following code is copied and edited from https://www.kaggle.com/jiweiliu/wifi-label-encode\nACOLS = ['timestamp','x','y','z']\n        \nFIELDS = {\n    'acce': ACOLS,\n    'acce_uncali': ACOLS,\n    'gyro': ACOLS,\n    'gyro_uncali': ACOLS,\n    'magn': ACOLS,\n    'magn_uncali': ACOLS,\n    'ahrs': ACOLS,\n    'wifi': ['timestamp','ssid','bssid','rssi','last_timestamp'],\n    'ibeacon': ['timestamp','id','rssi', 'distance'],\n    'waypoint': ['timestamp','x','y']\n}\n\ndef create_dummy_df(cols):\n    \"\"\"\n    Edited from https://www.kaggle.com/jiweiliu/wifi-label-encode\n    \"\"\"\n    df = pd.DataFrame()\n    for col in cols:\n        df[col] = [0]\n        if col in ['ssid','bssid']:\n            df[col] = df[col].map(str)\n    return df\n\ndef to_frame(data, col):    \n    \"\"\"\n    Edited from https://www.kaggle.com/jiweiliu/wifi-label-encode\n    \"\"\"\n    cols = FIELDS[col]\n    if data.shape[0]>0:\n        df = pd.DataFrame(data, columns=cols)\n    else:\n        df = create_dummy_df(cols)\n    for col in df.columns:\n        if 'timestamp' in col:\n            df[col] = df[col].astype('int64')\n    return df\n\ndef building2ibeacon_feature_extract(building_name:str):\n    ble_list = pd.DataFrame()\n    df = train_df[train_df.building == sample_building]\n\n    for floor in tqdm(df.floor.unique()):\n        files = df[df.floor == floor].path.unique()\n\n        for file in (files):\n            path = read_data_file(f\"{PATH}train/{sample_building}/{floor}/{file}\")\n\n            ibeacon_df = to_frame(path.ibeacon,'ibeacon')\n            waypoint_df = to_frame(path.waypoint,'waypoint')\n\n            ibeacon_df_grouped = ibeacon_df.groupby('timestamp')['id'].nunique().to_frame().reset_index(drop=False)\n            waypoint_ble_combined = pd.concat([ibeacon_df_grouped, waypoint_df])\n            waypoint_ble_combined = waypoint_ble_combined.sort_values(by='timestamp').reset_index(drop=True)\n\n            # Interpolate waypoint data for wifi timestamps\n            waypoint_ble_combined.x = waypoint_ble_combined.x.interpolate()\n            waypoint_ble_combined.y = waypoint_ble_combined.y.interpolate()\n\n            ble_df_with_waypoint = ibeacon_df.merge(waypoint_ble_combined[['timestamp', 'x', 'y']], on='timestamp', how='left')\n\n            ble_df_with_waypoint['floor'] = floor\n            ble_list = ble_list.append(ble_df_with_waypoint)\n\n    ble_list.distance = ble_list.distance.astype(float)\n    return ble_list","metadata":{"execution":{"iopub.status.busy":"2023-05-02T02:20:48.040409Z","iopub.execute_input":"2023-05-02T02:20:48.040847Z","iopub.status.idle":"2023-05-02T02:20:48.064197Z","shell.execute_reply.started":"2023-05-02T02:20:48.040806Z","shell.execute_reply":"2023-05-02T02:20:48.063078Z"},"trusted":true},"execution_count":43,"outputs":[]},{"cell_type":"code","source":"import numpy as np\nimport pandas as pd\npd.set_option(\"display.max_colwidth\", 50)\n    \nimport matplotlib.pyplot as plt\nimport seaborn as sns\n\nimport glob\nimport os\nimport sys\nimport math\nimport gc\nimport json \nimport re\nfrom tqdm import tqdm\nimport warnings \nwarnings.filterwarnings('ignore')\n\nPATH = '../input/indoor-location-navigation/'\n\nsubmission = pd.read_csv(f'{PATH}sample_submission.csv')\n\ntrain_df = pd.DataFrame()\nbuilding_dict = {}\nfor building in used_buildings:\n    building_dict['building'] = building\n    for floor in os.listdir(f\"{PATH}/train/{building}\"):\n        building_dict['floor'] = floor\n        building_dict['floor_enc'] = encode_floor(floor)\n        for path in os.listdir(f\"{PATH}/train/{building}/{floor}\"):\n            building_dict['path'] = path\n            train_df = train_df.append(building_dict, ignore_index=True)","metadata":{},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_df","metadata":{"execution":{"iopub.status.busy":"2023-05-02T02:25:37.945086Z","iopub.execute_input":"2023-05-02T02:25:37.945768Z","iopub.status.idle":"2023-05-02T02:25:37.963421Z","shell.execute_reply.started":"2023-05-02T02:25:37.945712Z","shell.execute_reply":"2023-05-02T02:25:37.962321Z"},"trusted":true},"execution_count":49,"outputs":[{"execution_count":49,"output_type":"execute_result","data":{"text/plain":"                       building floor  floor_enc                          path\n0      5a0546857ecc773753327266    B1       -1.0  5e1580adf4c3420006d520d4.txt\n1      5a0546857ecc773753327266    B1       -1.0  5e158ecdf4c3420006d52162.txt\n2      5a0546857ecc773753327266    B1       -1.0  5e158ef31506f2000638fd1d.txt\n3      5a0546857ecc773753327266    B1       -1.0  5e15730b1506f2000638fc29.txt\n4      5a0546857ecc773753327266    B1       -1.0  5e1580d5f4c3420006d520e8.txt\n...                         ...   ...        ...                           ...\n10872  5dc8cea7659e181adb076a3f    F7        6.0  5dcfb83394e49000061259a1.txt\n10873  5dc8cea7659e181adb076a3f    F7        6.0  5dcd5ca3a4dbe7000630b094.txt\n10874  5dc8cea7659e181adb076a3f    F7        6.0  5dd0d809878f3300066c74f9.txt\n10875  5dc8cea7659e181adb076a3f    F7        6.0  5dcfb833878f3300066c70e6.txt\n10876  5dc8cea7659e181adb076a3f    F7        6.0  5dcfb832878f3300066c70e4.txt\n\n[10877 rows x 4 columns]","text/html":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>building</th>\n      <th>floor</th>\n      <th>floor_enc</th>\n      <th>path</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>5a0546857ecc773753327266</td>\n      <td>B1</td>\n      <td>-1.0</td>\n      <td>5e1580adf4c3420006d520d4.txt</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>5a0546857ecc773753327266</td>\n      <td>B1</td>\n      <td>-1.0</td>\n      <td>5e158ecdf4c3420006d52162.txt</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>5a0546857ecc773753327266</td>\n      <td>B1</td>\n      <td>-1.0</td>\n      <td>5e158ef31506f2000638fd1d.txt</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>5a0546857ecc773753327266</td>\n      <td>B1</td>\n      <td>-1.0</td>\n      <td>5e15730b1506f2000638fc29.txt</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>5a0546857ecc773753327266</td>\n      <td>B1</td>\n      <td>-1.0</td>\n      <td>5e1580d5f4c3420006d520e8.txt</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>10872</th>\n      <td>5dc8cea7659e181adb076a3f</td>\n      <td>F7</td>\n      <td>6.0</td>\n      <td>5dcfb83394e49000061259a1.txt</td>\n    </tr>\n    <tr>\n      <th>10873</th>\n      <td>5dc8cea7659e181adb076a3f</td>\n      <td>F7</td>\n      <td>6.0</td>\n      <td>5dcd5ca3a4dbe7000630b094.txt</td>\n    </tr>\n    <tr>\n      <th>10874</th>\n      <td>5dc8cea7659e181adb076a3f</td>\n      <td>F7</td>\n      <td>6.0</td>\n      <td>5dd0d809878f3300066c74f9.txt</td>\n    </tr>\n    <tr>\n      <th>10875</th>\n      <td>5dc8cea7659e181adb076a3f</td>\n      <td>F7</td>\n      <td>6.0</td>\n      <td>5dcfb833878f3300066c70e6.txt</td>\n    </tr>\n    <tr>\n      <th>10876</th>\n      <td>5dc8cea7659e181adb076a3f</td>\n      <td>F7</td>\n      <td>6.0</td>\n      <td>5dcfb832878f3300066c70e4.txt</td>\n    </tr>\n  </tbody>\n</table>\n<p>10877 rows × 4 columns</p>\n</div>"},"metadata":{}}]},{"cell_type":"code","source":"ibeacon_feature = building2ibeacon_feature_extract(train_df.building[0])","metadata":{"execution":{"iopub.status.busy":"2023-05-02T02:26:33.479319Z","iopub.execute_input":"2023-05-02T02:26:33.479738Z","iopub.status.idle":"2023-05-02T02:27:01.571681Z","shell.execute_reply.started":"2023-05-02T02:26:33.479694Z","shell.execute_reply":"2023-05-02T02:27:01.570705Z"},"trusted":true},"execution_count":51,"outputs":[{"name":"stderr","text":"100%|██████████| 5/5 [00:28<00:00,  5.61s/it]\n","output_type":"stream"}]},{"cell_type":"code","source":"# test ibeacon feature","metadata":{},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### sample 확인","metadata":{}},{"cell_type":"code","source":"# from glob import glob\n\n# floor_encoder = {\n#     \"B1\":-1,\n#     \"F1\":0,\n#     \"F2\":1,\n#     \"F3\":2,\n#     \"F4\":3,\n# }\n\n# floor_decoder = {v:k for k,v in floor_encoder.items()}\n\n# train_dir = \"/kaggle/input/indoor-location-navigation/train\"\n# city = train_paths[0].split(\"/\")[-1][:-15]\n# floor = floor_decoder[train_df.f.values[0]]\n# p_t = train_df.path.values[0]\n# glob(os.path.join(train_dir, city) + \"/*\")","metadata":{"execution":{"iopub.status.busy":"2023-05-06T09:06:59.294086Z","iopub.execute_input":"2023-05-06T09:06:59.294545Z","iopub.status.idle":"2023-05-06T09:06:59.29999Z","shell.execute_reply.started":"2023-05-06T09:06:59.294508Z","shell.execute_reply":"2023-05-06T09:06:59.298332Z"},"trusted":true},"execution_count":5,"outputs":[]},{"cell_type":"code","source":"base = '../input/indoor-location-navigation'\npath = f'{base}/train/5cd56b5ae2acfd2d33b58549/5F/5d06134c4a19c000086c4324.txt'","metadata":{"execution":{"iopub.status.busy":"2023-05-06T09:07:22.73152Z","iopub.execute_input":"2023-05-06T09:07:22.731935Z","iopub.status.idle":"2023-05-06T09:07:22.736836Z","shell.execute_reply.started":"2023-05-06T09:07:22.7319Z","shell.execute_reply":"2023-05-06T09:07:22.735312Z"},"trusted":true},"execution_count":7,"outputs":[]},{"cell_type":"code","source":"from main import calibrate_magnetic_wifi_ibeacon_to_position\n\nmwi_datas = calibrate_magnetic_wifi_ibeacon_to_position([path])","metadata":{"execution":{"iopub.status.busy":"2023-05-06T09:07:41.362639Z","iopub.execute_input":"2023-05-06T09:07:41.363516Z","iopub.status.idle":"2023-05-06T09:07:45.921802Z","shell.execute_reply.started":"2023-05-06T09:07:41.363465Z","shell.execute_reply":"2023-05-06T09:07:45.920932Z"},"trusted":true},"execution_count":8,"outputs":[]},{"cell_type":"code","source":"","metadata":{"execution":{"iopub.status.busy":"2023-05-01T04:10:09.423031Z","iopub.execute_input":"2023-05-01T04:10:09.423463Z","iopub.status.idle":"2023-05-01T04:10:42.71525Z","shell.execute_reply.started":"2023-05-01T04:10:09.423428Z","shell.execute_reply":"2023-05-01T04:10:42.71437Z"},"trusted":true},"execution_count":21,"outputs":[{"name":"stdout","text":"-1 398\n0 871\n1 905\n2 829\n3 826\n","output_type":"stream"}]},{"cell_type":"markdown","source":"### model","metadata":{}},{"cell_type":"code","source":"from numpy import sqrt, power\nfrom numpy import abs as absolute","metadata":{"execution":{"iopub.status.busy":"2023-05-06T09:10:37.407713Z","iopub.execute_input":"2023-05-06T09:10:37.408129Z","iopub.status.idle":"2023-05-06T09:10:37.413113Z","shell.execute_reply.started":"2023-05-06T09:10:37.408095Z","shell.execute_reply":"2023-05-06T09:10:37.411822Z"},"trusted":true},"execution_count":12,"outputs":[]},{"cell_type":"code","source":"def mean_position_error(x_pred, y_pred, f_pred, x_true, y_true, f_true, p=15):\n    '''Custom function to evaluate Mean Position Error.\n    x: x coordinate of the waypoint position; dtype list()\n    y: y coordinate of the waypoint position; dtype list()\n    f: exact floor or the building; dtype list()\n    p: floor penalty, set to 15 (always)'''\n    \n    N = len(x_true)\n    #1\n    formula = sqrt( power(x_pred - x_true, 2) + power(y_pred - y_true, 2) )\n    #2\n    formula = formula + p * absolute(f_pred - f_true)\n    #3\n    formula = formula.sum() / N\n    \n    return formula","metadata":{"execution":{"iopub.status.busy":"2023-05-06T09:17:20.850306Z","iopub.execute_input":"2023-05-06T09:17:20.850691Z","iopub.status.idle":"2023-05-06T09:17:20.857717Z","shell.execute_reply.started":"2023-05-06T09:17:20.850659Z","shell.execute_reply":"2023-05-06T09:17:20.856211Z"},"trusted":true},"execution_count":27,"outputs":[]},{"cell_type":"code","source":"# Import Libraries\nimport lightgbm as lgb\n\n# ~~~~\n# Data\n# ~~~~\nbase_dir = \"../input/indoor-navigation-and-location-wifi-features/wifi_features\"\ntrain_dir = \"/train/*_train.csv\"\ntest_dir = \"/test/*_test.csv\"\n\n\n# Paths for train & test files\ntrain_paths = sorted(glob(base_dir + train_dir))\ntest_paths = sorted(glob(base_dir + test_dir))\nsample_subm = pd.read_csv('../input/indoor-location-navigation/sample_submission.csv',\n                          index_col=0)\n\nprint(\"Len Train Files: {}\".format(len(train_paths)), \"\\n\" +\n      \"Len Test Files: {}\".format(len(test_paths)))","metadata":{"execution":{"iopub.status.busy":"2023-05-06T09:15:24.563256Z","iopub.execute_input":"2023-05-06T09:15:24.563647Z","iopub.status.idle":"2023-05-06T09:15:24.597792Z","shell.execute_reply.started":"2023-05-06T09:15:24.563617Z","shell.execute_reply":"2023-05-06T09:15:24.596433Z"},"trusted":true},"execution_count":19,"outputs":[{"name":"stdout","text":"Len Train Files: 24 \nLen Test Files: 24\n","output_type":"stream"}]},{"cell_type":"code","source":"def train_lgbm(train_perc=0.70, version=1, n_estimators=150, num_leaves=127):\n    f = open(f\"lgbm_logs_{version}.txt\", \"w+\")\n    lgbm_predictions = []\n    reals = []\n    preds = []\n    \n    k = 1\n    for train_path, test_path in zip(train_paths, test_paths):\n        # --- Read in data ---\n        train_df = pd.read_csv(train_path, index_col=0)\n        train_df = train_df.sample(frac=1, random_state=10)\n\n        test_df = pd.read_csv(test_path, index_col=0).iloc[:, :-1]\n        train_size = int(len(train_df) * train_perc)\n\n        # --- Data Validation ---\n        # Train features + targets\n        X_train = train_df.iloc[:train_size, :-4]\n        y_train_x = train_df.iloc[:train_size, -4]\n        y_train_y = train_df.iloc[:train_size, -3]\n        y_train_f = train_df.iloc[:train_size, -2]\n\n        # Valid features + targets\n        X_valid = train_df.iloc[train_size:, :-4]\n        y_valid_x = train_df.iloc[train_size:, -4]\n        y_valid_y = train_df.iloc[train_size:, -3]\n        y_valid_f = train_df.iloc[train_size:, -2]\n\n        # --- Model Training ---\n        lgbm_x = lgb.LGBMRegressor(n_estimators=n_estimators, num_leaves=num_leaves)\n        lgbm_x.fit(X_train, y_train_x)\n\n        lgbm_y = lgb.LGBMRegressor(n_estimators=n_estimators, num_leaves=num_leaves)\n        lgbm_y.fit(X_train, y_train_y)\n\n        lgbm_f = lgb.LGBMClassifier(n_estimators=n_estimators, num_leaves=num_leaves)\n        lgbm_f.fit(X_train, y_train_f)\n\n\n        # --- Model Validation Predictions ---\n        preds_x = lgbm_x.predict(X_valid)\n        preds_y = lgbm_y.predict(X_valid)\n        preds_f = lgbm_f.predict(X_valid).astype(int)\n        \n        mpe = mean_position_error(preds_x, preds_y, preds_f,\n                                  y_valid_x, y_valid_y, y_valid_f)\n        reals.extend(y_valid_f)\n        preds.extend(preds_f)\n        print(\"{} | MPE: {}\".format(k, mpe))\n        # Save logs\n        with open(f\"lgbm_logs_{version}.txt\", 'a+') as f:\n            print(\"{} | MPE: {}\".format(k, mpe), file=f)\n        \n        k+=1\n        # --- Model Test Predictions ---\n        test_preds_x = lgbm_x.predict(test_df)\n        test_preds_y = lgbm_y.predict(test_df)\n        test_preds_f = lgbm_f.predict(test_df).astype(int)\n\n        all_test_preds = pd.DataFrame({'floor' : test_preds_f,\n                                       'x' : test_preds_x, \n                                       'y' : test_preds_y})\n        lgbm_predictions.append(all_test_preds)\n    \n    return lgbm_predictions, reals, preds","metadata":{"execution":{"iopub.status.busy":"2023-05-06T09:29:46.607882Z","iopub.execute_input":"2023-05-06T09:29:46.608302Z","iopub.status.idle":"2023-05-06T09:29:46.622783Z","shell.execute_reply.started":"2023-05-06T09:29:46.608249Z","shell.execute_reply":"2023-05-06T09:29:46.621429Z"},"trusted":true},"execution_count":39,"outputs":[]},{"cell_type":"code","source":"train_df = pd.read_csv(train_paths[0], index_col=0)\ntrain_df = train_df.sample(frac=1, random_state=10)","metadata":{"execution":{"iopub.status.busy":"2023-05-06T10:23:17.261289Z","iopub.execute_input":"2023-05-06T10:23:17.261728Z","iopub.status.idle":"2023-05-06T10:23:18.144425Z","shell.execute_reply.started":"2023-05-06T10:23:17.261688Z","shell.execute_reply":"2023-05-06T10:23:18.143209Z"},"trusted":true},"execution_count":79,"outputs":[]},{"cell_type":"code","source":"train_df","metadata":{"execution":{"iopub.status.busy":"2023-05-06T10:25:28.595558Z","iopub.execute_input":"2023-05-06T10:25:28.596192Z","iopub.status.idle":"2023-05-06T10:25:28.632163Z","shell.execute_reply.started":"2023-05-06T10:25:28.596143Z","shell.execute_reply":"2023-05-06T10:25:28.631099Z"},"trusted":true},"execution_count":83,"outputs":[{"execution_count":83,"output_type":"execute_result","data":{"text/plain":"    000840e5c600de293cea57f13326f273c86c3988  \\\n4                                        -83   \n4                                        -69   \n4                                        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                         -999  149.880840  116.094246  3  \n4                                       -999  218.094510  165.202620 -1  \n\n[9089 rows x 944 columns]","text/html":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>000840e5c600de293cea57f13326f273c86c3988</th>\n      <th>00ad587dcb9c7ce3788b92e22777a22ee0efea31</th>\n      <th>00af060fc145ee6a6a50475efa57b91cbf54237f</th>\n      <th>00bcc61bdea4d52d050822d66952dd707c2fcdf3</th>\n      <th>00f0904087c01d922d6ebf3005607dfdeaf6687b</th>\n      <th>011e20ebf721a1c6dfec42e8ed1e2ac566073a2a</th>\n      <th>01d2f676abab6ec03ec5dc696bfd49d66e392ea1</th>\n      <th>01e25e4a25acd32baf5137b3031151f751fadbb4</th>\n      <th>026c2f057932da75680b21ecdbd23bf9cb9350f3</th>\n      <th>028a310e23177c3747d37971678dd964ee28ce17</th>\n      <th>...</th>\n      <th>fdb1ad87bd6fb08014267f2586faeed0edc7412b</th>\n      <th>fdc189e5a19850397f37201f4acc378cfddcf0d6</th>\n      <th>fdc19f011587b75c11a6c30d8ca06d90107b6bde</th>\n      <th>fdf37fa13679f581bdfaae3b99e368633e0a144b</th>\n      <th>fdfe926caf5f49a88a9bcab8d025e887f422128b</th>\n      <th>fe3211f90e4ab1f500e10fe175ae6142f4b13130</th>\n      <th>ffa41c79865d7fb336f586e0dec8b080db1027fb</th>\n      <th>x</th>\n      <th>y</th>\n      <th>f</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>4</th>\n      <td>-83</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-86</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>...</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>90.913970</td>\n      <td>14.003349</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>-69</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-68</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>...</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-89</td>\n      <td>-88</td>\n      <td>-81</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>104.178734</td>\n      <td>109.120170</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>-46</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-73</td>\n      <td>-81</td>\n      <td>-84</td>\n      <td>-999</td>\n      <td>-73</td>\n      <td>...</td>\n      <td>-81</td>\n      <td>-68</td>\n      <td>-81</td>\n      <td>-77</td>\n      <td>-72</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>80.718400</td>\n      <td>107.197110</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>...</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>121.420070</td>\n      <td>106.421640</td>\n      <td>-1</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-67</td>\n      <td>-999</td>\n      <td>-72</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-61</td>\n      <td>-999</td>\n      <td>...</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>120.365100</td>\n      <td>54.070667</td>\n      <td>3</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>-999</td>\n      <td>-73</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>...</td>\n      <td>-87</td>\n      <td>-999</td>\n      <td>-75</td>\n      <td>-85</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>14.026634</td>\n      <td>111.857780</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>-84</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-88</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>...</td>\n      <td>-999</td>\n      <td>-45</td>\n      <td>-91</td>\n      <td>-87</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>149.880840</td>\n      <td>116.094246</td>\n      <td>3</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>...</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>160.652700</td>\n      <td>188.994980</td>\n      <td>-1</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-88</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>...</td>\n      <td>-999</td>\n      <td>-44</td>\n      <td>-84</td>\n      <td>-87</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>149.880840</td>\n      <td>116.094246</td>\n      <td>3</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>...</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>218.094510</td>\n      <td>165.202620</td>\n      <td>-1</td>\n    </tr>\n  </tbody>\n</table>\n<p>9089 rows × 944 columns</p>\n</div>"},"metadata":{}}]},{"cell_type":"code","source":"t = train_df.drop(\"path\", axis=1).drop_duplicates()","metadata":{"execution":{"iopub.status.busy":"2023-05-06T10:27:23.493331Z","iopub.execute_input":"2023-05-06T10:27:23.493803Z","iopub.status.idle":"2023-05-06T10:27:23.849612Z","shell.execute_reply.started":"2023-05-06T10:27:23.493761Z","shell.execute_reply":"2023-05-06T10:27:23.848671Z"},"trusted":true},"execution_count":86,"outputs":[]},{"cell_type":"code","source":"train_size = int(len(t) * 0.7)","metadata":{"execution":{"iopub.status.busy":"2023-05-06T10:27:31.926628Z","iopub.execute_input":"2023-05-06T10:27:31.926959Z","iopub.status.idle":"2023-05-06T10:27:31.932374Z","shell.execute_reply.started":"2023-05-06T10:27:31.926931Z","shell.execute_reply":"2023-05-06T10:27:31.930846Z"},"trusted":true},"execution_count":88,"outputs":[]},{"cell_type":"code","source":"train = t.iloc[:train_size, :]\nvalid = t.iloc[train_size:, :]","metadata":{"execution":{"iopub.status.busy":"2023-05-06T10:28:08.252057Z","iopub.execute_input":"2023-05-06T10:28:08.252476Z","iopub.status.idle":"2023-05-06T10:28:08.258766Z","shell.execute_reply.started":"2023-05-06T10:28:08.252437Z","shell.execute_reply":"2023-05-06T10:28:08.25725Z"},"trusted":true},"execution_count":90,"outputs":[]},{"cell_type":"code","source":"train.to_csv(\"train_site1.csv\", index=False)\nvalid.to_csv(\"valid_site1.csv\", index=False)","metadata":{"execution":{"iopub.status.busy":"2023-05-06T10:29:41.729197Z","iopub.execute_input":"2023-05-06T10:29:41.729655Z","iopub.status.idle":"2023-05-06T10:29:44.61971Z","shell.execute_reply.started":"2023-05-06T10:29:41.72962Z","shell.execute_reply":"2023-05-06T10:29:44.618616Z"},"trusted":true},"execution_count":98,"outputs":[]},{"cell_type":"code","source":"lgbm_predictions, reals, preds = train_lgbm()","metadata":{"execution":{"iopub.status.busy":"2023-05-06T09:29:49.335177Z","iopub.execute_input":"2023-05-06T09:29:49.335669Z","iopub.status.idle":"2023-05-06T09:42:16.800964Z","shell.execute_reply.started":"2023-05-06T09:29:49.335628Z","shell.execute_reply":"2023-05-06T09:42:16.799926Z"},"trusted":true},"execution_count":40,"outputs":[{"name":"stdout","text":"1 | MPE: 4.681943052276271\n2 | MPE: 5.377391941929022\n3 | MPE: 5.049052012015674\n4 | MPE: 3.1810609176741393\n5 | MPE: 18.09996058990948\n6 | MPE: 3.0286216997035567\n7 | MPE: 4.450075554715533\n8 | MPE: 3.9052963241884004\n9 | MPE: 4.870592392624966\n10 | MPE: 7.747397310693952\n11 | MPE: 3.735752637658835\n12 | MPE: 3.867321558774521\n13 | MPE: 9.132375021023758\n14 | MPE: 4.614931530235473\n15 | MPE: 2.4275264052009367\n16 | MPE: 3.6947414753014374\n17 | MPE: 3.9989379103391993\n18 | MPE: 3.686159713284512\n19 | MPE: 5.248705047211138\n20 | MPE: 5.779625487997858\n21 | MPE: 7.018165811527551\n22 | MPE: 4.087732285803416\n23 | MPE: 5.670254487516653\n24 | MPE: 8.370380278342934\n","output_type":"stream"}]},{"cell_type":"code","source":"from sklearn.metrics import classification_report\nprint(classification_report(reals, preds))","metadata":{"execution":{"iopub.status.busy":"2023-05-06T09:43:42.340616Z","iopub.execute_input":"2023-05-06T09:43:42.341061Z","iopub.status.idle":"2023-05-06T09:43:42.564233Z","shell.execute_reply.started":"2023-05-06T09:43:42.341024Z","shell.execute_reply":"2023-05-06T09:43:42.562967Z"},"trusted":true},"execution_count":41,"outputs":[{"name":"stdout","text":"              precision    recall  f1-score   support\n\n          -2       1.00      0.92      0.96      1091\n          -1       0.99      0.99      0.99     11233\n           0       1.00      1.00      1.00     17460\n           1       1.00      0.99      1.00     15650\n           2       0.99      1.00      1.00     12629\n           3       0.98      1.00      0.99      9644\n           4       1.00      1.00      1.00      5212\n           5       0.99      0.99      0.99      2267\n           6       0.97      1.00      0.98      1466\n           7       1.00      0.99      1.00       683\n           8       0.95      0.89      0.92       113\n\n    accuracy                           0.99     77448\n   macro avg       0.99      0.98      0.98     77448\nweighted avg       0.99      0.99      0.99     77448\n\n","output_type":"stream"}]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"from dataclasses import dataclass\n\nimport numpy as np\n\n\n@dataclass\nclass ReadData:\n    acce: np.ndarray\n    acce_uncali: np.ndarray\n    gyro: np.ndarray\n    gyro_uncali: np.ndarray\n    magn: np.ndarray\n    magn_uncali: np.ndarray\n    ahrs: np.ndarray\n    wifi: np.ndarray\n    ibeacon: np.ndarray\n    waypoint: np.ndarray\n\n\ndef read_data_file(data_filename):\n    acce = []\n    acce_uncali = []\n    gyro = []\n    gyro_uncali = []\n    magn = []\n    magn_uncali = []\n    ahrs = []\n    wifi = []\n    ibeacon = []\n    waypoint = []\n\n    with open(data_filename, 'r', encoding='utf-8') as file:\n        lines = file.readlines()\n\n    for line_data in lines:\n        line_data = line_data.strip()\n        if not line_data or line_data[0] == '#':\n            continue\n\n        line_data = line_data.split('\\t')\n\n        if line_data[1] == 'TYPE_ACCELEROMETER':\n            acce.append([int(line_data[0]), float(line_data[2]), float(line_data[3]), float(line_data[4])])\n            continue\n\n        if line_data[1] == 'TYPE_ACCELEROMETER_UNCALIBRATED':\n            acce_uncali.append([int(line_data[0]), float(line_data[2]), float(line_data[3]), float(line_data[4])])\n            continue\n\n        if line_data[1] == 'TYPE_GYROSCOPE':\n            gyro.append([int(line_data[0]), float(line_data[2]), float(line_data[3]), float(line_data[4])])\n            continue\n\n        if line_data[1] == 'TYPE_GYROSCOPE_UNCALIBRATED':\n            gyro_uncali.append([int(line_data[0]), float(line_data[2]), float(line_data[3]), float(line_data[4])])\n            continue\n\n        if line_data[1] == 'TYPE_MAGNETIC_FIELD':\n            magn.append([int(line_data[0]), float(line_data[2]), float(line_data[3]), float(line_data[4])])\n            continue\n\n        if line_data[1] == 'TYPE_MAGNETIC_FIELD_UNCALIBRATED':\n            magn_uncali.append([int(line_data[0]), float(line_data[2]), float(line_data[3]), float(line_data[4])])\n            continue\n\n        if line_data[1] == 'TYPE_ROTATION_VECTOR':\n            ahrs.append([int(line_data[0]), float(line_data[2]), float(line_data[3]), float(line_data[4])])\n            continue\n\n        if line_data[1] == 'TYPE_WIFI':\n            \n            sys_ts = line_data[0]\n            ssid = line_data[2]\n            bssid = line_data[3]\n            rssi = line_data[4]\n            freq = line_data[5]\n            lastseen_ts = line_data[6]\n            \n            wifi_data = [sys_ts, ssid, bssid, rssi, lastseen_ts]\n            wifi.append(wifi_data)\n            continue\n\n        if line_data[1] == 'TYPE_BEACON':\n            ts = line_data[0]\n            uuid = line_data[2]\n            major = line_data[3]\n            minor = line_data[4]\n            tx_power = line_data[5]\n            rssi = line_data[6]\n            distance = line_data[7]\n            mac_add = line_data[8]\n            sts = line_data[9]\n            \n            # ibeacon_data = [ts, '_'.join([uuid, major, minor]),tx_power, rssi, distance,mac_add,sts]\n            ibeacon_data = [ts, uuid, major, minor, tx_power, rssi, distance,mac_add,sts]\n            ibeacon.append(ibeacon_data)\n            continue\n\n        if line_data[1] == 'TYPE_WAYPOINT':\n            waypoint.append([int(line_data[0]), float(line_data[2]), float(line_data[3])])\n\n    acce = np.array(acce)\n    acce_uncali = np.array(acce_uncali)\n    gyro = np.array(gyro)\n    gyro_uncali = np.array(gyro_uncali)\n    magn = np.array(magn)\n    magn_uncali = np.array(magn_uncali)\n    ahrs = np.array(ahrs)\n    wifi = np.array(wifi)\n    ibeacon = np.array(ibeacon)\n    waypoint = np.array(waypoint)\n\n    return ReadData(acce, acce_uncali, gyro, gyro_uncali, magn, magn_uncali, ahrs, wifi, ibeacon, waypoint)","metadata":{"execution":{"iopub.status.busy":"2023-05-02T08:45:33.216003Z","iopub.execute_input":"2023-05-02T08:45:33.216641Z","iopub.status.idle":"2023-05-02T08:45:33.247506Z","shell.execute_reply.started":"2023-05-02T08:45:33.216596Z","shell.execute_reply":"2023-05-02T08:45:33.246067Z"},"trusted":true},"execution_count":6,"outputs":[]},{"cell_type":"code","source":"sensor_type = [\n\"TYPE_ACCELEROMETER\",\n\"TYPE_ACCELEROMETER_UNCALIBRATED\",\n\"TYPE_GYROSCOPE\",\n\"TYPE_GYROSCOPE_UNCALIBRATED\",\n\"TYPE_MAGNETIC_FIELD\",\n\"TYPE_MAGNETIC_FIELD_UNCALIBRATED\",\n\"TYPE_ROTATION_VECTOR\",\n\"TYPE_WIFI\",\n\"TYPE_BEACON\",\n\"TYPE_WAYPOINT\",]","metadata":{"execution":{"iopub.status.busy":"2023-04-30T14:46:59.85691Z","iopub.execute_input":"2023-04-30T14:46:59.857271Z","iopub.status.idle":"2023-04-30T14:46:59.86204Z","shell.execute_reply.started":"2023-04-30T14:46:59.85724Z","shell.execute_reply":"2023-04-30T14:46:59.861044Z"},"trusted":true},"execution_count":7,"outputs":[]},{"cell_type":"code","source":"# from io_f import read_data_file\npath = train_dir + \"/\" + city + \"/\"+ floor + \"/\"+ p_t + \".txt\"\n# Read in 1 random example\nsample_file = read_data_file(path)","metadata":{"execution":{"iopub.status.busy":"2023-04-30T07:13:41.118505Z","iopub.execute_input":"2023-04-30T07:13:41.119231Z","iopub.status.idle":"2023-04-30T07:13:41.151305Z","shell.execute_reply.started":"2023-04-30T07:13:41.11919Z","shell.execute_reply":"2023-04-30T07:13:41.150051Z"},"trusted":true},"execution_count":18,"outputs":[]},{"cell_type":"code","source":"sample_file.waypoint.shape, sample_file.ibeacon.shape, sample_file.wifi.shape, sample_file.acce.shape, sample_file.ahrs.shape","metadata":{"execution":{"iopub.status.busy":"2023-04-30T05:09:29.79177Z","iopub.execute_input":"2023-04-30T05:09:29.792122Z","iopub.status.idle":"2023-04-30T05:09:29.799038Z","shell.execute_reply.started":"2023-04-30T05:09:29.792093Z","shell.execute_reply":"2023-04-30T05:09:29.798076Z"},"trusted":true},"execution_count":15,"outputs":[{"execution_count":15,"output_type":"execute_result","data":{"text/plain":"((3, 3), (56, 9), (929, 5), (782, 5), (782, 5))"},"metadata":{}}]},{"cell_type":"code","source":"id : 사람 -> 층 -> data","metadata":{},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# generate all the training data \nbuilding_dfs = dict()\n\nfor building in used_buildings:\n    \n    ### 빌딩 나누기\n    folders = sorted(glob.glob(os.path.join(base_path,'train', building +'/*')))\n    dfs = list()\n    index = sorted(bssid[building])\n    print(building)\n    \n    \n    # 층 나누기\n    for folder in folders:\n        floor = floor_map[folder.split('/')[-1]]\n        files = glob.glob(os.path.join(folder, \"*.txt\"))\n        print(floor)\n        \n        # path\n        for file in files:\n            wifi = list()\n            waypoint = list()\n            with open(file) as f:\n                txt = f.readlines()\n            \n            \n            for line in txt:\n                line = line.strip().split()\n                if line[1] == \"TYPE_WAYPOINT\":\n                    waypoint.append(line)\n                if line[1] == \"TYPE_WIFI\":\n                    wifi.append(line)\n\n            df = pd.DataFrame(np.array(wifi))    \n\n            # generate a feature, and label for each wifi block\n            for gid, g in df.groupby(0):\n                dists = list()\n                for e, k in enumerate(waypoint):\n                    dist = abs(int(gid) - int(k[0]))\n                    dists.append(dist)\n                nearest_wp_index = np.argmin(dists)\n                \n                g = g.drop_duplicates(subset=3)\n                tmp = g.iloc[:,3:5]\n                feat = tmp.set_index(3).reindex(index).replace(np.nan, -999).T\n                feat[\"x\"] = float(waypoint[nearest_wp_index][2])\n                feat[\"y\"] = float(waypoint[nearest_wp_index][3])\n                feat[\"f\"] = floor\n                feat[\"path\"] = file.split('/')[-1].split('.')[0] # useful for crossvalidation\n                dfs.append(feat)\n                \n    building_df = pd.concat(dfs)\n    building_dfs[building] = df\n    building_df.to_csv(building+\"_1000_train.csv\")","metadata":{},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"acce: 속도 +\nacce_uncali: 속도 -\ngyro: 회전 +\ngyro_uncali: 회전 -\nmagn: 마그넷 + \nmagn_uncali: 마그넷 -\nahrs: np.ndarray\n------------------------------\n    \nwifi: np.ndarray\nibeacon: np.ndarray\nwaypoint: np.ndarray","metadata":{"execution":{"iopub.status.busy":"2023-04-29T11:06:36.16422Z","iopub.execute_input":"2023-04-29T11:06:36.164667Z","iopub.status.idle":"2023-04-29T11:06:36.171555Z","shell.execute_reply.started":"2023-04-29T11:06:36.164629Z","shell.execute_reply":"2023-04-29T11:06:36.170478Z"},"trusted":true},"execution_count":28,"outputs":[{"execution_count":28,"output_type":"execute_result","data":{"text/plain":"(782, 4)"},"metadata":{}}]},{"cell_type":"code","source":"wifi_df = pd.DataFrame(sample_file.wifi)\nwifi_df.columns = ['timestamp', 'ssid', 'bssid', 'rssi', 'last_seen_timestamp']\nwifi_df = wifi_df.pivot(index='timestamp', columns=['ssid', 'bssid'])['rssi']\nwifi_df.reset_index(drop=False, inplace=True)\nwifi_df.style.set_caption('WiFi')","metadata":{"execution":{"iopub.status.busy":"2023-04-29T10:57:03.311242Z","iopub.execute_input":"2023-04-29T10:57:03.31172Z","iopub.status.idle":"2023-04-29T10:57:03.516784Z","shell.execute_reply.started":"2023-04-29T10:57:03.311683Z","shell.execute_reply":"2023-04-29T10:57:03.515926Z"},"trusted":true},"execution_count":19,"outputs":[{"execution_count":19,"output_type":"execute_result","data":{"text/plain":"<pandas.io.formats.style.Styler at 0x7324dc935ad0>","text/html":"<style  type=\"text/css\" >\n</style><table id=\"T_aa168_\" ><caption>WiFi</caption><thead>    <tr>        <th class=\"index_name level0\" >ssid</th>        <th class=\"col_heading level0 col0\" >timestamp</th>        <th class=\"col_heading level0 col1\" >4b5cd7028a5c86870986b7a92f9692e7b51f95bf</th>        <th class=\"col_heading level0 col2\" 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<td id=\"T_aa168_row0_col32\" class=\"data row0 col32\" >-76</td>\n                        <td id=\"T_aa168_row0_col33\" class=\"data row0 col33\" >-76</td>\n                        <td id=\"T_aa168_row0_col34\" class=\"data row0 col34\" >-76</td>\n                        <td id=\"T_aa168_row0_col35\" class=\"data row0 col35\" >-76</td>\n                        <td id=\"T_aa168_row0_col36\" class=\"data row0 col36\" >-77</td>\n                        <td id=\"T_aa168_row0_col37\" class=\"data row0 col37\" >-77</td>\n                        <td id=\"T_aa168_row0_col38\" class=\"data row0 col38\" >-77</td>\n                        <td id=\"T_aa168_row0_col39\" class=\"data row0 col39\" >-77</td>\n                        <td id=\"T_aa168_row0_col40\" class=\"data row0 col40\" >-77</td>\n                        <td id=\"T_aa168_row0_col41\" class=\"data row0 col41\" >-78</td>\n                        <td id=\"T_aa168_row0_col42\" class=\"data row0 col42\" >-78</td>\n                        <td id=\"T_aa168_row0_col43\" class=\"data row0 col43\" >-78</td>\n                        <td id=\"T_aa168_row0_col44\" class=\"data row0 col44\" >-78</td>\n                        <td id=\"T_aa168_row0_col45\" class=\"data row0 col45\" >-79</td>\n                        <td id=\"T_aa168_row0_col46\" class=\"data row0 col46\" >-79</td>\n                        <td id=\"T_aa168_row0_col47\" class=\"data row0 col47\" >-80</td>\n                        <td id=\"T_aa168_row0_col48\" class=\"data row0 col48\" >-80</td>\n                        <td id=\"T_aa168_row0_col49\" class=\"data row0 col49\" >-81</td>\n                        <td id=\"T_aa168_row0_col50\" class=\"data row0 col50\" >-81</td>\n                        <td id=\"T_aa168_row0_col51\" class=\"data row0 col51\" >-81</td>\n                        <td id=\"T_aa168_row0_col52\" class=\"data row0 col52\" >-81</td>\n                        <td id=\"T_aa168_row0_col53\" class=\"data row0 col53\" >-81</td>\n                        <td id=\"T_aa168_row0_col54\" class=\"data row0 col54\" >-81</td>\n                        <td id=\"T_aa168_row0_col55\" class=\"data row0 col55\" >-81</td>\n                        <td id=\"T_aa168_row0_col56\" class=\"data row0 col56\" >-81</td>\n                        <td id=\"T_aa168_row0_col57\" class=\"data row0 col57\" >-81</td>\n                        <td id=\"T_aa168_row0_col58\" class=\"data row0 col58\" >-82</td>\n                        <td id=\"T_aa168_row0_col59\" class=\"data row0 col59\" >-82</td>\n                        <td id=\"T_aa168_row0_col60\" class=\"data row0 col60\" >-82</td>\n                        <td id=\"T_aa168_row0_col61\" class=\"data row0 col61\" >-82</td>\n                        <td id=\"T_aa168_row0_col62\" class=\"data row0 col62\" >-82</td>\n                        <td id=\"T_aa168_row0_col63\" class=\"data row0 col63\" >-82</td>\n                        <td id=\"T_aa168_row0_col64\" class=\"data row0 col64\" >-82</td>\n                        <td id=\"T_aa168_row0_col65\" class=\"data row0 col65\" >-82</td>\n                        <td id=\"T_aa168_row0_col66\" class=\"data row0 col66\" >-82</td>\n                        <td id=\"T_aa168_row0_col67\" class=\"data row0 col67\" >-82</td>\n                        <td id=\"T_aa168_row0_col68\" class=\"data row0 col68\" >-83</td>\n                        <td id=\"T_aa168_row0_col69\" class=\"data row0 col69\" >-83</td>\n                        <td id=\"T_aa168_row0_col70\" class=\"data row0 col70\" >-83</td>\n                        <td id=\"T_aa168_row0_col71\" class=\"data row0 col71\" >-83</td>\n                        <td id=\"T_aa168_row0_col72\" class=\"data row0 col72\" >-83</td>\n                        <td id=\"T_aa168_row0_col73\" class=\"data row0 col73\" >-83</td>\n                        <td id=\"T_aa168_row0_col74\" class=\"data row0 col74\" >-83</td>\n                        <td id=\"T_aa168_row0_col75\" class=\"data row0 col75\" >-83</td>\n                        <td id=\"T_aa168_row0_col76\" class=\"data row0 col76\" >-83</td>\n                        <td id=\"T_aa168_row0_col77\" class=\"data row0 col77\" >-83</td>\n                        <td id=\"T_aa168_row0_col78\" class=\"data row0 col78\" >-83</td>\n                        <td id=\"T_aa168_row0_col79\" class=\"data row0 col79\" >-83</td>\n                        <td id=\"T_aa168_row0_col80\" class=\"data row0 col80\" >-84</td>\n                        <td id=\"T_aa168_row0_col81\" class=\"data row0 col81\" >-84</td>\n                        <td id=\"T_aa168_row0_col82\" class=\"data row0 col82\" >-84</td>\n                        <td id=\"T_aa168_row0_col83\" class=\"data row0 col83\" >-84</td>\n                        <td id=\"T_aa168_row0_col84\" class=\"data row0 col84\" >-84</td>\n                        <td id=\"T_aa168_row0_col85\" class=\"data row0 col85\" >-84</td>\n                        <td id=\"T_aa168_row0_col86\" class=\"data row0 col86\" >-84</td>\n                        <td id=\"T_aa168_row0_col87\" class=\"data row0 col87\" >-85</td>\n                        <td id=\"T_aa168_row0_col88\" class=\"data row0 col88\" >-85</td>\n                        <td id=\"T_aa168_row0_col89\" class=\"data row0 col89\" >-85</td>\n                        <td id=\"T_aa168_row0_col90\" class=\"data row0 col90\" >-85</td>\n                        <td id=\"T_aa168_row0_col91\" class=\"data row0 col91\" >-85</td>\n                        <td id=\"T_aa168_row0_col92\" class=\"data row0 col92\" >-85</td>\n                        <td id=\"T_aa168_row0_col93\" class=\"data row0 col93\" >-85</td>\n                        <td id=\"T_aa168_row0_col94\" class=\"data row0 col94\" >-86</td>\n                        <td id=\"T_aa168_row0_col95\" class=\"data row0 col95\" >-86</td>\n                        <td id=\"T_aa168_row0_col96\" class=\"data row0 col96\" >-86</td>\n                        <td id=\"T_aa168_row0_col97\" class=\"data row0 col97\" >-86</td>\n                        <td id=\"T_aa168_row0_col98\" class=\"data row0 col98\" >-86</td>\n                        <td id=\"T_aa168_row0_col99\" class=\"data row0 col99\" >-86</td>\n                        <td id=\"T_aa168_row0_col100\" class=\"data row0 col100\" >-86</td>\n                        <td id=\"T_aa168_row0_col101\" class=\"data row0 col101\" >-86</td>\n                        <td id=\"T_aa168_row0_col102\" class=\"data row0 col102\" >-87</td>\n                        <td id=\"T_aa168_row0_col103\" class=\"data row0 col103\" >-87</td>\n                        <td id=\"T_aa168_row0_col104\" class=\"data row0 col104\" >-87</td>\n                        <td id=\"T_aa168_row0_col105\" class=\"data row0 col105\" >-87</td>\n                        <td id=\"T_aa168_row0_col106\" class=\"data row0 col106\" >-87</td>\n                        <td id=\"T_aa168_row0_col107\" class=\"data row0 col107\" >-87</td>\n                        <td id=\"T_aa168_row0_col108\" class=\"data row0 col108\" >-88</td>\n                        <td id=\"T_aa168_row0_col109\" class=\"data row0 col109\" >-88</td>\n                        <td id=\"T_aa168_row0_col110\" class=\"data row0 col110\" >-88</td>\n                        <td id=\"T_aa168_row0_col111\" class=\"data row0 col111\" >-88</td>\n                        <td id=\"T_aa168_row0_col112\" class=\"data row0 col112\" >-88</td>\n                        <td id=\"T_aa168_row0_col113\" class=\"data row0 col113\" >-88</td>\n                        <td id=\"T_aa168_row0_col114\" class=\"data row0 col114\" >-88</td>\n                        <td id=\"T_aa168_row0_col115\" class=\"data row0 col115\" >-88</td>\n                        <td id=\"T_aa168_row0_col116\" class=\"data row0 col116\" >-88</td>\n                        <td id=\"T_aa168_row0_col117\" class=\"data row0 col117\" >-89</td>\n                        <td id=\"T_aa168_row0_col118\" class=\"data row0 col118\" >-89</td>\n                        <td id=\"T_aa168_row0_col119\" class=\"data row0 col119\" >-89</td>\n                        <td id=\"T_aa168_row0_col120\" class=\"data row0 col120\" >-89</td>\n                        <td id=\"T_aa168_row0_col121\" class=\"data row0 col121\" >-89</td>\n                        <td id=\"T_aa168_row0_col122\" class=\"data row0 col122\" >-89</td>\n                        <td id=\"T_aa168_row0_col123\" class=\"data row0 col123\" >-89</td>\n                        <td id=\"T_aa168_row0_col124\" class=\"data row0 col124\" >-89</td>\n                        <td id=\"T_aa168_row0_col125\" class=\"data row0 col125\" >-89</td>\n                        <td id=\"T_aa168_row0_col126\" class=\"data row0 col126\" >-90</td>\n                        <td id=\"T_aa168_row0_col127\" class=\"data row0 col127\" >-90</td>\n                        <td id=\"T_aa168_row0_col128\" class=\"data row0 col128\" >-90</td>\n                        <td id=\"T_aa168_row0_col129\" class=\"data row0 col129\" >-90</td>\n                        <td id=\"T_aa168_row0_col130\" class=\"data row0 col130\" >-90</td>\n                        <td id=\"T_aa168_row0_col131\" class=\"data row0 col131\" >-90</td>\n                        <td id=\"T_aa168_row0_col132\" class=\"data row0 col132\" >-91</td>\n                        <td id=\"T_aa168_row0_col133\" class=\"data row0 col133\" >nan</td>\n                        <td id=\"T_aa168_row0_col134\" class=\"data row0 col134\" >nan</td>\n                        <td id=\"T_aa168_row0_col135\" class=\"data row0 col135\" >nan</td>\n                        <td id=\"T_aa168_row0_col136\" class=\"data row0 col136\" >nan</td>\n            </tr>\n            <tr>\n                        <th id=\"T_aa168_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n                        <td id=\"T_aa168_row1_col0\" class=\"data row1 col0\" >1578470487485</td>\n                        <td id=\"T_aa168_row1_col1\" class=\"data row1 col1\" >-43</td>\n                        <td id=\"T_aa168_row1_col2\" class=\"data row1 col2\" >-59</td>\n                        <td id=\"T_aa168_row1_col3\" class=\"data row1 col3\" >-65</td>\n                        <td id=\"T_aa168_row1_col4\" class=\"data row1 col4\" >-70</td>\n                        <td id=\"T_aa168_row1_col5\" class=\"data row1 col5\" >-70</td>\n                        <td id=\"T_aa168_row1_col6\" class=\"data row1 col6\" >-71</td>\n                        <td id=\"T_aa168_row1_col7\" class=\"data row1 col7\" >-69</td>\n                        <td id=\"T_aa168_row1_col8\" class=\"data row1 col8\" >-70</td>\n                        <td id=\"T_aa168_row1_col9\" class=\"data row1 col9\" >-69</td>\n                        <td id=\"T_aa168_row1_col10\" class=\"data row1 col10\" >-62</td>\n                        <td id=\"T_aa168_row1_col11\" class=\"data row1 col11\" >-62</td>\n                        <td id=\"T_aa168_row1_col12\" class=\"data row1 col12\" >-61</td>\n                        <td id=\"T_aa168_row1_col13\" class=\"data row1 col13\" >-61</td>\n                        <td id=\"T_aa168_row1_col14\" class=\"data row1 col14\" >-62</td>\n                        <td id=\"T_aa168_row1_col15\" class=\"data row1 col15\" >-60</td>\n                        <td id=\"T_aa168_row1_col16\" class=\"data row1 col16\" >-48</td>\n                        <td id=\"T_aa168_row1_col17\" class=\"data row1 col17\" >-67</td>\n                        <td id=\"T_aa168_row1_col18\" class=\"data row1 col18\" >-50</td>\n                        <td id=\"T_aa168_row1_col19\" class=\"data row1 col19\" >-62</td>\n                        <td id=\"T_aa168_row1_col20\" class=\"data row1 col20\" >-66</td>\n                        <td id=\"T_aa168_row1_col21\" class=\"data row1 col21\" >-66</td>\n                        <td id=\"T_aa168_row1_col22\" class=\"data row1 col22\" >-71</td>\n                        <td id=\"T_aa168_row1_col23\" class=\"data row1 col23\" >-79</td>\n                        <td id=\"T_aa168_row1_col24\" class=\"data row1 col24\" >nan</td>\n                        <td id=\"T_aa168_row1_col25\" class=\"data row1 col25\" >-74</td>\n                        <td id=\"T_aa168_row1_col26\" class=\"data row1 col26\" >-79</td>\n                        <td id=\"T_aa168_row1_col27\" class=\"data row1 col27\" >-80</td>\n                        <td id=\"T_aa168_row1_col28\" class=\"data row1 col28\" >-72</td>\n                        <td id=\"T_aa168_row1_col29\" class=\"data row1 col29\" >-82</td>\n                        <td id=\"T_aa168_row1_col30\" class=\"data row1 col30\" >-82</td>\n                        <td id=\"T_aa168_row1_col31\" class=\"data row1 col31\" >-82</td>\n                        <td id=\"T_aa168_row1_col32\" class=\"data row1 col32\" >-82</td>\n                        <td id=\"T_aa168_row1_col33\" class=\"data row1 col33\" >-83</td>\n                        <td id=\"T_aa168_row1_col34\" class=\"data row1 col34\" >-84</td>\n                        <td id=\"T_aa168_row1_col35\" class=\"data row1 col35\" >-76</td>\n                        <td id=\"T_aa168_row1_col36\" class=\"data row1 col36\" >-77</td>\n                        <td id=\"T_aa168_row1_col37\" class=\"data row1 col37\" >-77</td>\n                        <td id=\"T_aa168_row1_col38\" class=\"data row1 col38\" >nan</td>\n                        <td id=\"T_aa168_row1_col39\" class=\"data row1 col39\" >nan</td>\n                        <td id=\"T_aa168_row1_col40\" class=\"data row1 col40\" >nan</td>\n                        <td id=\"T_aa168_row1_col41\" class=\"data row1 col41\" >-78</td>\n                        <td id=\"T_aa168_row1_col42\" class=\"data row1 col42\" >-78</td>\n                        <td id=\"T_aa168_row1_col43\" class=\"data row1 col43\" >-78</td>\n                        <td id=\"T_aa168_row1_col44\" class=\"data row1 col44\" >-78</td>\n                        <td id=\"T_aa168_row1_col45\" class=\"data row1 col45\" >-83</td>\n                        <td id=\"T_aa168_row1_col46\" class=\"data row1 col46\" >nan</td>\n                        <td id=\"T_aa168_row1_col47\" class=\"data row1 col47\" >-80</td>\n                        <td id=\"T_aa168_row1_col48\" class=\"data row1 col48\" >-80</td>\n                        <td id=\"T_aa168_row1_col49\" class=\"data row1 col49\" >-81</td>\n                        <td id=\"T_aa168_row1_col50\" class=\"data row1 col50\" >-81</td>\n                        <td id=\"T_aa168_row1_col51\" class=\"data row1 col51\" >-79</td>\n                        <td id=\"T_aa168_row1_col52\" class=\"data row1 col52\" >-85</td>\n                        <td id=\"T_aa168_row1_col53\" class=\"data row1 col53\" >-81</td>\n                        <td id=\"T_aa168_row1_col54\" class=\"data row1 col54\" >-81</td>\n                        <td id=\"T_aa168_row1_col55\" class=\"data row1 col55\" >-81</td>\n                        <td id=\"T_aa168_row1_col56\" class=\"data row1 col56\" >-81</td>\n                        <td id=\"T_aa168_row1_col57\" class=\"data row1 col57\" >-81</td>\n                        <td id=\"T_aa168_row1_col58\" class=\"data row1 col58\" >-85</td>\n                        <td id=\"T_aa168_row1_col59\" class=\"data row1 col59\" >-86</td>\n                        <td id=\"T_aa168_row1_col60\" class=\"data row1 col60\" >-85</td>\n                        <td id=\"T_aa168_row1_col61\" class=\"data row1 col61\" >-82</td>\n                        <td id=\"T_aa168_row1_col62\" class=\"data row1 col62\" >-82</td>\n                        <td id=\"T_aa168_row1_col63\" class=\"data row1 col63\" >-82</td>\n                        <td id=\"T_aa168_row1_col64\" class=\"data row1 col64\" >-82</td>\n                        <td id=\"T_aa168_row1_col65\" class=\"data row1 col65\" >-82</td>\n                        <td id=\"T_aa168_row1_col66\" class=\"data row1 col66\" >-85</td>\n                        <td id=\"T_aa168_row1_col67\" class=\"data row1 col67\" >-82</td>\n                        <td id=\"T_aa168_row1_col68\" class=\"data row1 col68\" >-85</td>\n                        <td id=\"T_aa168_row1_col69\" class=\"data row1 col69\" >-84</td>\n                        <td id=\"T_aa168_row1_col70\" class=\"data row1 col70\" >-85</td>\n                        <td id=\"T_aa168_row1_col71\" class=\"data row1 col71\" >-86</td>\n                        <td id=\"T_aa168_row1_col72\" class=\"data row1 col72\" >-83</td>\n                        <td id=\"T_aa168_row1_col73\" class=\"data row1 col73\" >-86</td>\n                        <td id=\"T_aa168_row1_col74\" class=\"data row1 col74\" >-83</td>\n                        <td id=\"T_aa168_row1_col75\" class=\"data row1 col75\" >-83</td>\n                        <td id=\"T_aa168_row1_col76\" class=\"data row1 col76\" >-83</td>\n                        <td id=\"T_aa168_row1_col77\" class=\"data row1 col77\" >-83</td>\n                        <td id=\"T_aa168_row1_col78\" class=\"data row1 col78\" >-85</td>\n                        <td id=\"T_aa168_row1_col79\" class=\"data row1 col79\" >-83</td>\n                        <td id=\"T_aa168_row1_col80\" class=\"data row1 col80\" >-86</td>\n                        <td id=\"T_aa168_row1_col81\" class=\"data row1 col81\" >nan</td>\n                        <td id=\"T_aa168_row1_col82\" class=\"data row1 col82\" >-84</td>\n                        <td id=\"T_aa168_row1_col83\" class=\"data row1 col83\" >-84</td>\n                        <td id=\"T_aa168_row1_col84\" class=\"data row1 col84\" >-80</td>\n                        <td id=\"T_aa168_row1_col85\" class=\"data row1 col85\" >-85</td>\n                        <td id=\"T_aa168_row1_col86\" class=\"data row1 col86\" >-84</td>\n                        <td id=\"T_aa168_row1_col87\" class=\"data row1 col87\" >-85</td>\n                        <td id=\"T_aa168_row1_col88\" class=\"data row1 col88\" >nan</td>\n                        <td id=\"T_aa168_row1_col89\" class=\"data row1 col89\" >-85</td>\n                        <td id=\"T_aa168_row1_col90\" class=\"data row1 col90\" >-85</td>\n                        <td id=\"T_aa168_row1_col91\" class=\"data row1 col91\" >-85</td>\n                        <td id=\"T_aa168_row1_col92\" class=\"data row1 col92\" >-85</td>\n                        <td id=\"T_aa168_row1_col93\" class=\"data row1 col93\" >-85</td>\n                        <td id=\"T_aa168_row1_col94\" class=\"data row1 col94\" >-86</td>\n                        <td id=\"T_aa168_row1_col95\" class=\"data row1 col95\" >-86</td>\n                        <td id=\"T_aa168_row1_col96\" class=\"data row1 col96\" >-86</td>\n                        <td id=\"T_aa168_row1_col97\" class=\"data row1 col97\" >-86</td>\n                        <td id=\"T_aa168_row1_col98\" class=\"data row1 col98\" >-84</td>\n                        <td id=\"T_aa168_row1_col99\" class=\"data row1 col99\" >-86</td>\n                        <td id=\"T_aa168_row1_col100\" class=\"data row1 col100\" >-86</td>\n                        <td id=\"T_aa168_row1_col101\" class=\"data row1 col101\" >-86</td>\n                        <td id=\"T_aa168_row1_col102\" class=\"data row1 col102\" >-87</td>\n                        <td id=\"T_aa168_row1_col103\" class=\"data row1 col103\" >-87</td>\n                        <td id=\"T_aa168_row1_col104\" class=\"data row1 col104\" >-87</td>\n                        <td id=\"T_aa168_row1_col105\" class=\"data row1 col105\" >-87</td>\n                        <td id=\"T_aa168_row1_col106\" class=\"data row1 col106\" >-87</td>\n                        <td id=\"T_aa168_row1_col107\" class=\"data row1 col107\" >-87</td>\n                        <td id=\"T_aa168_row1_col108\" class=\"data row1 col108\" >nan</td>\n                        <td id=\"T_aa168_row1_col109\" class=\"data row1 col109\" >nan</td>\n                        <td id=\"T_aa168_row1_col110\" class=\"data row1 col110\" >-88</td>\n                        <td id=\"T_aa168_row1_col111\" class=\"data row1 col111\" >-88</td>\n                        <td id=\"T_aa168_row1_col112\" class=\"data row1 col112\" >-88</td>\n                        <td id=\"T_aa168_row1_col113\" class=\"data row1 col113\" >-88</td>\n                        <td id=\"T_aa168_row1_col114\" class=\"data row1 col114\" >-88</td>\n                        <td id=\"T_aa168_row1_col115\" class=\"data row1 col115\" >-88</td>\n                        <td id=\"T_aa168_row1_col116\" class=\"data row1 col116\" >-88</td>\n                        <td id=\"T_aa168_row1_col117\" class=\"data row1 col117\" >-89</td>\n                        <td id=\"T_aa168_row1_col118\" class=\"data row1 col118\" >nan</td>\n                        <td id=\"T_aa168_row1_col119\" class=\"data row1 col119\" >nan</td>\n                        <td id=\"T_aa168_row1_col120\" class=\"data row1 col120\" >nan</td>\n                        <td id=\"T_aa168_row1_col121\" class=\"data row1 col121\" >nan</td>\n                        <td id=\"T_aa168_row1_col122\" class=\"data row1 col122\" >-89</td>\n                        <td id=\"T_aa168_row1_col123\" class=\"data row1 col123\" >-89</td>\n                        <td id=\"T_aa168_row1_col124\" class=\"data row1 col124\" >-89</td>\n                        <td id=\"T_aa168_row1_col125\" class=\"data row1 col125\" >-89</td>\n                        <td id=\"T_aa168_row1_col126\" class=\"data row1 col126\" >-90</td>\n                        <td id=\"T_aa168_row1_col127\" class=\"data row1 col127\" >nan</td>\n                        <td id=\"T_aa168_row1_col128\" class=\"data row1 col128\" >nan</td>\n                        <td id=\"T_aa168_row1_col129\" class=\"data row1 col129\" >nan</td>\n                        <td id=\"T_aa168_row1_col130\" class=\"data row1 col130\" >-90</td>\n                        <td id=\"T_aa168_row1_col131\" class=\"data row1 col131\" >-90</td>\n                        <td id=\"T_aa168_row1_col132\" class=\"data row1 col132\" >-91</td>\n                        <td id=\"T_aa168_row1_col133\" class=\"data row1 col133\" >nan</td>\n                        <td id=\"T_aa168_row1_col134\" class=\"data row1 col134\" >nan</td>\n                        <td id=\"T_aa168_row1_col135\" class=\"data row1 col135\" >nan</td>\n                        <td id=\"T_aa168_row1_col136\" class=\"data row1 col136\" >nan</td>\n            </tr>\n            <tr>\n                        <th id=\"T_aa168_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n                        <td id=\"T_aa168_row2_col0\" class=\"data row2 col0\" >1578470489396</td>\n                        <td id=\"T_aa168_row2_col1\" class=\"data row2 col1\" >-51</td>\n                        <td id=\"T_aa168_row2_col2\" class=\"data row2 col2\" >-65</td>\n                        <td id=\"T_aa168_row2_col3\" class=\"data row2 col3\" >-68</td>\n                        <td id=\"T_aa168_row2_col4\" class=\"data row2 col4\" >-74</td>\n                        <td id=\"T_aa168_row2_col5\" class=\"data row2 col5\" >-74</td>\n                        <td id=\"T_aa168_row2_col6\" class=\"data row2 col6\" >-73</td>\n                        <td id=\"T_aa168_row2_col7\" class=\"data row2 col7\" >-73</td>\n                        <td id=\"T_aa168_row2_col8\" class=\"data row2 col8\" >-74</td>\n                        <td id=\"T_aa168_row2_col9\" class=\"data row2 col9\" >-74</td>\n                        <td id=\"T_aa168_row2_col10\" class=\"data row2 col10\" >-65</td>\n                        <td id=\"T_aa168_row2_col11\" class=\"data row2 col11\" >-65</td>\n                        <td id=\"T_aa168_row2_col12\" class=\"data row2 col12\" >-65</td>\n                        <td id=\"T_aa168_row2_col13\" class=\"data row2 col13\" >-65</td>\n                        <td id=\"T_aa168_row2_col14\" class=\"data row2 col14\" >-65</td>\n                        <td id=\"T_aa168_row2_col15\" class=\"data row2 col15\" >-50</td>\n                        <td id=\"T_aa168_row2_col16\" class=\"data row2 col16\" >-48</td>\n                        <td id=\"T_aa168_row2_col17\" class=\"data row2 col17\" >-65</td>\n                        <td id=\"T_aa168_row2_col18\" class=\"data row2 col18\" >-49</td>\n                        <td id=\"T_aa168_row2_col19\" class=\"data row2 col19\" >-59</td>\n                        <td id=\"T_aa168_row2_col20\" class=\"data row2 col20\" >-60</td>\n                        <td id=\"T_aa168_row2_col21\" class=\"data row2 col21\" >-90</td>\n                        <td id=\"T_aa168_row2_col22\" class=\"data row2 col22\" >-71</td>\n                        <td id=\"T_aa168_row2_col23\" class=\"data row2 col23\" >-79</td>\n                        <td id=\"T_aa168_row2_col24\" class=\"data row2 col24\" >nan</td>\n                        <td id=\"T_aa168_row2_col25\" class=\"data row2 col25\" >-78</td>\n                        <td id=\"T_aa168_row2_col26\" class=\"data row2 col26\" >-78</td>\n                        <td id=\"T_aa168_row2_col27\" class=\"data row2 col27\" >-80</td>\n                        <td id=\"T_aa168_row2_col28\" class=\"data row2 col28\" >-72</td>\n                        <td id=\"T_aa168_row2_col29\" class=\"data row2 col29\" >-83</td>\n                        <td id=\"T_aa168_row2_col30\" class=\"data row2 col30\" >-83</td>\n                        <td id=\"T_aa168_row2_col31\" class=\"data row2 col31\" >-83</td>\n                        <td id=\"T_aa168_row2_col32\" class=\"data row2 col32\" >-83</td>\n                        <td id=\"T_aa168_row2_col33\" class=\"data row2 col33\" >-83</td>\n                        <td id=\"T_aa168_row2_col34\" class=\"data row2 col34\" >-82</td>\n                        <td id=\"T_aa168_row2_col35\" class=\"data row2 col35\" >-76</td>\n                        <td id=\"T_aa168_row2_col36\" class=\"data row2 col36\" >-77</td>\n                        <td id=\"T_aa168_row2_col37\" class=\"data row2 col37\" >-77</td>\n                        <td id=\"T_aa168_row2_col38\" class=\"data row2 col38\" >nan</td>\n                        <td id=\"T_aa168_row2_col39\" class=\"data row2 col39\" >nan</td>\n                        <td id=\"T_aa168_row2_col40\" class=\"data row2 col40\" >nan</td>\n                        <td id=\"T_aa168_row2_col41\" class=\"data row2 col41\" >-78</td>\n                        <td id=\"T_aa168_row2_col42\" class=\"data row2 col42\" >-78</td>\n                        <td id=\"T_aa168_row2_col43\" class=\"data row2 col43\" >-78</td>\n                        <td id=\"T_aa168_row2_col44\" class=\"data row2 col44\" >-78</td>\n                        <td id=\"T_aa168_row2_col45\" class=\"data row2 col45\" >-77</td>\n                        <td id=\"T_aa168_row2_col46\" class=\"data row2 col46\" >nan</td>\n                        <td id=\"T_aa168_row2_col47\" class=\"data row2 col47\" >-80</td>\n                        <td id=\"T_aa168_row2_col48\" class=\"data row2 col48\" >-80</td>\n                        <td id=\"T_aa168_row2_col49\" class=\"data row2 col49\" >-81</td>\n                        <td id=\"T_aa168_row2_col50\" class=\"data row2 col50\" >-81</td>\n                        <td id=\"T_aa168_row2_col51\" class=\"data row2 col51\" >-79</td>\n                        <td id=\"T_aa168_row2_col52\" class=\"data row2 col52\" >-84</td>\n                        <td id=\"T_aa168_row2_col53\" class=\"data row2 col53\" >-81</td>\n                        <td id=\"T_aa168_row2_col54\" class=\"data row2 col54\" >nan</td>\n                        <td id=\"T_aa168_row2_col55\" class=\"data row2 col55\" >nan</td>\n                        <td id=\"T_aa168_row2_col56\" class=\"data row2 col56\" >nan</td>\n                        <td id=\"T_aa168_row2_col57\" class=\"data row2 col57\" >nan</td>\n                        <td id=\"T_aa168_row2_col58\" class=\"data row2 col58\" >-86</td>\n                        <td id=\"T_aa168_row2_col59\" class=\"data row2 col59\" >-88</td>\n                        <td id=\"T_aa168_row2_col60\" class=\"data row2 col60\" >-82</td>\n                        <td id=\"T_aa168_row2_col61\" class=\"data row2 col61\" >-82</td>\n                        <td id=\"T_aa168_row2_col62\" class=\"data row2 col62\" >-82</td>\n                        <td id=\"T_aa168_row2_col63\" class=\"data row2 col63\" >-82</td>\n                        <td id=\"T_aa168_row2_col64\" class=\"data row2 col64\" >nan</td>\n                        <td id=\"T_aa168_row2_col65\" class=\"data row2 col65\" >-82</td>\n                        <td id=\"T_aa168_row2_col66\" class=\"data row2 col66\" >-85</td>\n                        <td id=\"T_aa168_row2_col67\" class=\"data row2 col67\" >-82</td>\n                        <td id=\"T_aa168_row2_col68\" class=\"data row2 col68\" >-86</td>\n                        <td id=\"T_aa168_row2_col69\" class=\"data row2 col69\" >-87</td>\n                        <td id=\"T_aa168_row2_col70\" class=\"data row2 col70\" >-87</td>\n                        <td id=\"T_aa168_row2_col71\" class=\"data row2 col71\" >-82</td>\n                        <td id=\"T_aa168_row2_col72\" class=\"data row2 col72\" >-81</td>\n                        <td id=\"T_aa168_row2_col73\" class=\"data row2 col73\" >-82</td>\n                        <td id=\"T_aa168_row2_col74\" class=\"data row2 col74\" >-83</td>\n                        <td id=\"T_aa168_row2_col75\" class=\"data row2 col75\" >-83</td>\n                        <td id=\"T_aa168_row2_col76\" class=\"data row2 col76\" >-83</td>\n                        <td id=\"T_aa168_row2_col77\" class=\"data row2 col77\" >-83</td>\n                        <td id=\"T_aa168_row2_col78\" class=\"data row2 col78\" >-85</td>\n                        <td id=\"T_aa168_row2_col79\" class=\"data row2 col79\" >-83</td>\n                        <td id=\"T_aa168_row2_col80\" class=\"data row2 col80\" >-80</td>\n                        <td id=\"T_aa168_row2_col81\" class=\"data row2 col81\" >nan</td>\n                        <td id=\"T_aa168_row2_col82\" class=\"data row2 col82\" >nan</td>\n                        <td id=\"T_aa168_row2_col83\" class=\"data row2 col83\" >-84</td>\n                        <td id=\"T_aa168_row2_col84\" class=\"data row2 col84\" >-80</td>\n                        <td id=\"T_aa168_row2_col85\" class=\"data row2 col85\" >-85</td>\n                        <td id=\"T_aa168_row2_col86\" class=\"data row2 col86\" >-84</td>\n                        <td id=\"T_aa168_row2_col87\" class=\"data row2 col87\" >-85</td>\n                        <td id=\"T_aa168_row2_col88\" class=\"data row2 col88\" >nan</td>\n                        <td id=\"T_aa168_row2_col89\" class=\"data row2 col89\" >-74</td>\n                        <td id=\"T_aa168_row2_col90\" class=\"data row2 col90\" >-85</td>\n                        <td id=\"T_aa168_row2_col91\" class=\"data row2 col91\" >-85</td>\n                        <td id=\"T_aa168_row2_col92\" class=\"data row2 col92\" >-85</td>\n                        <td id=\"T_aa168_row2_col93\" class=\"data row2 col93\" >-85</td>\n                        <td id=\"T_aa168_row2_col94\" class=\"data row2 col94\" >-86</td>\n                        <td id=\"T_aa168_row2_col95\" class=\"data row2 col95\" >-86</td>\n                        <td id=\"T_aa168_row2_col96\" class=\"data row2 col96\" >-86</td>\n                        <td id=\"T_aa168_row2_col97\" class=\"data row2 col97\" >-86</td>\n                        <td id=\"T_aa168_row2_col98\" class=\"data row2 col98\" >-88</td>\n                        <td id=\"T_aa168_row2_col99\" class=\"data row2 col99\" >nan</td>\n                        <td id=\"T_aa168_row2_col100\" class=\"data row2 col100\" >nan</td>\n                        <td id=\"T_aa168_row2_col101\" class=\"data row2 col101\" >-86</td>\n                        <td id=\"T_aa168_row2_col102\" class=\"data row2 col102\" >-84</td>\n                        <td id=\"T_aa168_row2_col103\" class=\"data row2 col103\" >-87</td>\n                        <td id=\"T_aa168_row2_col104\" class=\"data row2 col104\" >-87</td>\n                        <td id=\"T_aa168_row2_col105\" class=\"data row2 col105\" >-87</td>\n                        <td id=\"T_aa168_row2_col106\" class=\"data row2 col106\" >-87</td>\n                        <td id=\"T_aa168_row2_col107\" class=\"data row2 col107\" >-87</td>\n                        <td id=\"T_aa168_row2_col108\" class=\"data row2 col108\" >nan</td>\n                        <td id=\"T_aa168_row2_col109\" class=\"data row2 col109\" >nan</td>\n                        <td id=\"T_aa168_row2_col110\" class=\"data row2 col110\" >-88</td>\n                        <td id=\"T_aa168_row2_col111\" class=\"data row2 col111\" >-88</td>\n                        <td id=\"T_aa168_row2_col112\" class=\"data row2 col112\" >-88</td>\n                        <td id=\"T_aa168_row2_col113\" class=\"data row2 col113\" >-88</td>\n                        <td id=\"T_aa168_row2_col114\" class=\"data row2 col114\" >-88</td>\n                        <td id=\"T_aa168_row2_col115\" class=\"data row2 col115\" >-88</td>\n                        <td id=\"T_aa168_row2_col116\" class=\"data row2 col116\" >-88</td>\n                        <td id=\"T_aa168_row2_col117\" class=\"data row2 col117\" >-89</td>\n                        <td id=\"T_aa168_row2_col118\" class=\"data row2 col118\" >nan</td>\n                        <td id=\"T_aa168_row2_col119\" class=\"data row2 col119\" >nan</td>\n                        <td id=\"T_aa168_row2_col120\" class=\"data row2 col120\" >nan</td>\n                        <td id=\"T_aa168_row2_col121\" class=\"data row2 col121\" >nan</td>\n                        <td id=\"T_aa168_row2_col122\" class=\"data row2 col122\" >-89</td>\n                        <td id=\"T_aa168_row2_col123\" class=\"data row2 col123\" >-89</td>\n                        <td id=\"T_aa168_row2_col124\" class=\"data row2 col124\" >-89</td>\n                        <td id=\"T_aa168_row2_col125\" class=\"data row2 col125\" >-89</td>\n                        <td id=\"T_aa168_row2_col126\" class=\"data row2 col126\" >-90</td>\n                        <td id=\"T_aa168_row2_col127\" class=\"data row2 col127\" >nan</td>\n                        <td id=\"T_aa168_row2_col128\" class=\"data row2 col128\" >nan</td>\n                        <td id=\"T_aa168_row2_col129\" class=\"data row2 col129\" >nan</td>\n                        <td id=\"T_aa168_row2_col130\" class=\"data row2 col130\" >-90</td>\n                        <td id=\"T_aa168_row2_col131\" class=\"data row2 col131\" >-90</td>\n                        <td id=\"T_aa168_row2_col132\" class=\"data row2 col132\" >-91</td>\n                        <td id=\"T_aa168_row2_col133\" class=\"data row2 col133\" >nan</td>\n                        <td id=\"T_aa168_row2_col134\" class=\"data row2 col134\" >nan</td>\n                        <td id=\"T_aa168_row2_col135\" class=\"data row2 col135\" >nan</td>\n                        <td id=\"T_aa168_row2_col136\" class=\"data row2 col136\" >nan</td>\n            </tr>\n            <tr>\n                        <th id=\"T_aa168_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n                        <td id=\"T_aa168_row3_col0\" class=\"data row3 col0\" >1578470491314</td>\n                        <td id=\"T_aa168_row3_col1\" class=\"data row3 col1\" >-58</td>\n                        <td id=\"T_aa168_row3_col2\" class=\"data row3 col2\" >-70</td>\n                        <td id=\"T_aa168_row3_col3\" class=\"data row3 col3\" >-72</td>\n                        <td id=\"T_aa168_row3_col4\" class=\"data row3 col4\" >-69</td>\n                        <td id=\"T_aa168_row3_col5\" class=\"data row3 col5\" >-68</td>\n                        <td id=\"T_aa168_row3_col6\" class=\"data row3 col6\" >-69</td>\n                        <td id=\"T_aa168_row3_col7\" class=\"data row3 col7\" >-68</td>\n                        <td id=\"T_aa168_row3_col8\" class=\"data row3 col8\" >-70</td>\n                        <td id=\"T_aa168_row3_col9\" class=\"data row3 col9\" >-74</td>\n                        <td id=\"T_aa168_row3_col10\" class=\"data row3 col10\" >-70</td>\n                        <td id=\"T_aa168_row3_col11\" class=\"data row3 col11\" >-70</td>\n                        <td id=\"T_aa168_row3_col12\" class=\"data row3 col12\" >-70</td>\n                        <td id=\"T_aa168_row3_col13\" class=\"data row3 col13\" >-70</td>\n                        <td id=\"T_aa168_row3_col14\" class=\"data row3 col14\" >-70</td>\n                        <td id=\"T_aa168_row3_col15\" class=\"data row3 col15\" >-50</td>\n                        <td id=\"T_aa168_row3_col16\" class=\"data row3 col16\" >-63</td>\n                        <td id=\"T_aa168_row3_col17\" class=\"data row3 col17\" >-69</td>\n                        <td id=\"T_aa168_row3_col18\" class=\"data row3 col18\" >-59</td>\n                        <td id=\"T_aa168_row3_col19\" class=\"data row3 col19\" >-59</td>\n                        <td id=\"T_aa168_row3_col20\" class=\"data row3 col20\" >-62</td>\n                        <td id=\"T_aa168_row3_col21\" class=\"data row3 col21\" >-86</td>\n                        <td id=\"T_aa168_row3_col22\" class=\"data row3 col22\" >-64</td>\n                        <td id=\"T_aa168_row3_col23\" class=\"data row3 col23\" >-79</td>\n                        <td id=\"T_aa168_row3_col24\" class=\"data row3 col24\" >nan</td>\n                        <td id=\"T_aa168_row3_col25\" class=\"data row3 col25\" >-82</td>\n                        <td id=\"T_aa168_row3_col26\" class=\"data row3 col26\" >-78</td>\n                        <td id=\"T_aa168_row3_col27\" class=\"data row3 col27\" >-82</td>\n                        <td id=\"T_aa168_row3_col28\" class=\"data row3 col28\" >-72</td>\n                        <td id=\"T_aa168_row3_col29\" class=\"data row3 col29\" >-84</td>\n                        <td id=\"T_aa168_row3_col30\" class=\"data row3 col30\" >-84</td>\n                        <td id=\"T_aa168_row3_col31\" class=\"data row3 col31\" >-84</td>\n                        <td id=\"T_aa168_row3_col32\" class=\"data row3 col32\" >-83</td>\n                        <td id=\"T_aa168_row3_col33\" class=\"data row3 col33\" >-83</td>\n                        <td id=\"T_aa168_row3_col34\" class=\"data row3 col34\" >-82</td>\n                        <td id=\"T_aa168_row3_col35\" class=\"data row3 col35\" >-81</td>\n                        <td id=\"T_aa168_row3_col36\" class=\"data row3 col36\" >-87</td>\n                        <td id=\"T_aa168_row3_col37\" class=\"data row3 col37\" >-83</td>\n                        <td id=\"T_aa168_row3_col38\" class=\"data row3 col38\" >nan</td>\n                        <td id=\"T_aa168_row3_col39\" class=\"data row3 col39\" >nan</td>\n                        <td id=\"T_aa168_row3_col40\" class=\"data row3 col40\" >nan</td>\n                        <td id=\"T_aa168_row3_col41\" class=\"data row3 col41\" >-78</td>\n                        <td id=\"T_aa168_row3_col42\" class=\"data row3 col42\" >-82</td>\n                        <td id=\"T_aa168_row3_col43\" class=\"data row3 col43\" >-78</td>\n                        <td id=\"T_aa168_row3_col44\" class=\"data row3 col44\" >-78</td>\n                        <td id=\"T_aa168_row3_col45\" class=\"data row3 col45\" >-75</td>\n                        <td id=\"T_aa168_row3_col46\" class=\"data row3 col46\" >nan</td>\n                        <td id=\"T_aa168_row3_col47\" class=\"data row3 col47\" >-82</td>\n                        <td id=\"T_aa168_row3_col48\" class=\"data row3 col48\" >-80</td>\n                        <td id=\"T_aa168_row3_col49\" class=\"data row3 col49\" >-81</td>\n                        <td id=\"T_aa168_row3_col50\" class=\"data row3 col50\" >-81</td>\n                        <td id=\"T_aa168_row3_col51\" class=\"data row3 col51\" >-79</td>\n                        <td id=\"T_aa168_row3_col52\" class=\"data row3 col52\" >-82</td>\n                        <td id=\"T_aa168_row3_col53\" class=\"data row3 col53\" >-81</td>\n                        <td id=\"T_aa168_row3_col54\" class=\"data row3 col54\" >nan</td>\n                        <td id=\"T_aa168_row3_col55\" class=\"data row3 col55\" >nan</td>\n                        <td id=\"T_aa168_row3_col56\" class=\"data row3 col56\" >nan</td>\n                        <td id=\"T_aa168_row3_col57\" class=\"data row3 col57\" >nan</td>\n                        <td id=\"T_aa168_row3_col58\" class=\"data row3 col58\" >-86</td>\n                        <td id=\"T_aa168_row3_col59\" class=\"data row3 col59\" >-87</td>\n                        <td id=\"T_aa168_row3_col60\" class=\"data row3 col60\" >-86</td>\n                        <td id=\"T_aa168_row3_col61\" class=\"data row3 col61\" >-82</td>\n                        <td id=\"T_aa168_row3_col62\" class=\"data row3 col62\" >-77</td>\n                        <td id=\"T_aa168_row3_col63\" class=\"data row3 col63\" >-82</td>\n                        <td id=\"T_aa168_row3_col64\" class=\"data row3 col64\" >nan</td>\n                        <td id=\"T_aa168_row3_col65\" class=\"data row3 col65\" >-82</td>\n                        <td id=\"T_aa168_row3_col66\" class=\"data row3 col66\" >-85</td>\n                        <td id=\"T_aa168_row3_col67\" class=\"data row3 col67\" >-82</td>\n                        <td id=\"T_aa168_row3_col68\" class=\"data row3 col68\" >-87</td>\n                        <td id=\"T_aa168_row3_col69\" class=\"data row3 col69\" >-87</td>\n                        <td id=\"T_aa168_row3_col70\" class=\"data row3 col70\" >-87</td>\n                        <td id=\"T_aa168_row3_col71\" class=\"data row3 col71\" >-87</td>\n                        <td id=\"T_aa168_row3_col72\" class=\"data row3 col72\" >-89</td>\n                        <td id=\"T_aa168_row3_col73\" class=\"data row3 col73\" >-82</td>\n                        <td id=\"T_aa168_row3_col74\" class=\"data row3 col74\" >-83</td>\n                        <td id=\"T_aa168_row3_col75\" class=\"data row3 col75\" >-78</td>\n                        <td id=\"T_aa168_row3_col76\" class=\"data row3 col76\" >-83</td>\n                        <td id=\"T_aa168_row3_col77\" class=\"data row3 col77\" >-83</td>\n                        <td id=\"T_aa168_row3_col78\" class=\"data row3 col78\" >-85</td>\n                        <td id=\"T_aa168_row3_col79\" class=\"data row3 col79\" >-83</td>\n                        <td id=\"T_aa168_row3_col80\" class=\"data row3 col80\" >-86</td>\n                        <td id=\"T_aa168_row3_col81\" class=\"data row3 col81\" >nan</td>\n                        <td id=\"T_aa168_row3_col82\" class=\"data row3 col82\" >nan</td>\n                        <td id=\"T_aa168_row3_col83\" class=\"data row3 col83\" >-84</td>\n                        <td id=\"T_aa168_row3_col84\" class=\"data row3 col84\" >-80</td>\n                        <td id=\"T_aa168_row3_col85\" class=\"data row3 col85\" >-85</td>\n                        <td id=\"T_aa168_row3_col86\" class=\"data row3 col86\" >-84</td>\n                        <td id=\"T_aa168_row3_col87\" class=\"data row3 col87\" >-85</td>\n                        <td id=\"T_aa168_row3_col88\" class=\"data row3 col88\" >-86</td>\n                        <td id=\"T_aa168_row3_col89\" class=\"data row3 col89\" >-74</td>\n                        <td id=\"T_aa168_row3_col90\" class=\"data row3 col90\" >-85</td>\n                        <td id=\"T_aa168_row3_col91\" class=\"data row3 col91\" >-85</td>\n                        <td id=\"T_aa168_row3_col92\" class=\"data row3 col92\" >-85</td>\n                        <td id=\"T_aa168_row3_col93\" class=\"data row3 col93\" >-85</td>\n                        <td id=\"T_aa168_row3_col94\" class=\"data row3 col94\" >-86</td>\n                        <td id=\"T_aa168_row3_col95\" class=\"data row3 col95\" >-86</td>\n                        <td id=\"T_aa168_row3_col96\" class=\"data row3 col96\" >-86</td>\n                        <td id=\"T_aa168_row3_col97\" class=\"data row3 col97\" >-86</td>\n                        <td id=\"T_aa168_row3_col98\" class=\"data row3 col98\" >-93</td>\n                        <td id=\"T_aa168_row3_col99\" class=\"data row3 col99\" >nan</td>\n                        <td id=\"T_aa168_row3_col100\" class=\"data row3 col100\" >nan</td>\n                        <td id=\"T_aa168_row3_col101\" class=\"data row3 col101\" >-90</td>\n                        <td id=\"T_aa168_row3_col102\" class=\"data row3 col102\" >-84</td>\n                        <td id=\"T_aa168_row3_col103\" class=\"data row3 col103\" >-87</td>\n                        <td id=\"T_aa168_row3_col104\" class=\"data row3 col104\" >-87</td>\n                        <td id=\"T_aa168_row3_col105\" class=\"data row3 col105\" >-87</td>\n                        <td id=\"T_aa168_row3_col106\" class=\"data row3 col106\" >-87</td>\n                        <td id=\"T_aa168_row3_col107\" class=\"data row3 col107\" >-87</td>\n                        <td id=\"T_aa168_row3_col108\" class=\"data row3 col108\" >nan</td>\n                        <td id=\"T_aa168_row3_col109\" class=\"data row3 col109\" >nan</td>\n                        <td id=\"T_aa168_row3_col110\" class=\"data row3 col110\" >-88</td>\n                        <td id=\"T_aa168_row3_col111\" class=\"data row3 col111\" >-88</td>\n                        <td id=\"T_aa168_row3_col112\" class=\"data row3 col112\" >-88</td>\n                        <td id=\"T_aa168_row3_col113\" class=\"data row3 col113\" >-88</td>\n                        <td id=\"T_aa168_row3_col114\" class=\"data row3 col114\" >-88</td>\n                        <td id=\"T_aa168_row3_col115\" class=\"data row3 col115\" >-88</td>\n                        <td id=\"T_aa168_row3_col116\" class=\"data row3 col116\" >-88</td>\n                        <td id=\"T_aa168_row3_col117\" class=\"data row3 col117\" >-89</td>\n                        <td id=\"T_aa168_row3_col118\" class=\"data row3 col118\" >nan</td>\n                        <td id=\"T_aa168_row3_col119\" class=\"data row3 col119\" >nan</td>\n                        <td id=\"T_aa168_row3_col120\" class=\"data row3 col120\" >nan</td>\n                        <td id=\"T_aa168_row3_col121\" class=\"data row3 col121\" >nan</td>\n                        <td id=\"T_aa168_row3_col122\" class=\"data row3 col122\" >-89</td>\n                        <td id=\"T_aa168_row3_col123\" class=\"data row3 col123\" >-89</td>\n                        <td id=\"T_aa168_row3_col124\" class=\"data row3 col124\" >-89</td>\n                        <td id=\"T_aa168_row3_col125\" class=\"data row3 col125\" >-89</td>\n                        <td id=\"T_aa168_row3_col126\" class=\"data row3 col126\" >-76</td>\n                        <td id=\"T_aa168_row3_col127\" class=\"data row3 col127\" >nan</td>\n                        <td id=\"T_aa168_row3_col128\" class=\"data row3 col128\" >nan</td>\n                        <td id=\"T_aa168_row3_col129\" class=\"data row3 col129\" >nan</td>\n                        <td id=\"T_aa168_row3_col130\" class=\"data row3 col130\" >-90</td>\n                        <td id=\"T_aa168_row3_col131\" class=\"data row3 col131\" >-90</td>\n                        <td id=\"T_aa168_row3_col132\" class=\"data row3 col132\" >-91</td>\n                        <td id=\"T_aa168_row3_col133\" class=\"data row3 col133\" >-93</td>\n                        <td id=\"T_aa168_row3_col134\" class=\"data row3 col134\" >-93</td>\n                        <td id=\"T_aa168_row3_col135\" class=\"data row3 col135\" >nan</td>\n                        <td id=\"T_aa168_row3_col136\" class=\"data row3 col136\" >nan</td>\n            </tr>\n            <tr>\n                        <th id=\"T_aa168_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n                        <td id=\"T_aa168_row4_col0\" class=\"data row4 col0\" >1578470493236</td>\n                        <td id=\"T_aa168_row4_col1\" class=\"data row4 col1\" >-57</td>\n                        <td id=\"T_aa168_row4_col2\" class=\"data row4 col2\" >-70</td>\n                        <td id=\"T_aa168_row4_col3\" class=\"data row4 col3\" >-66</td>\n                        <td id=\"T_aa168_row4_col4\" class=\"data row4 col4\" >-65</td>\n                        <td id=\"T_aa168_row4_col5\" class=\"data row4 col5\" >-66</td>\n                        <td id=\"T_aa168_row4_col6\" class=\"data row4 col6\" >-66</td>\n                        <td id=\"T_aa168_row4_col7\" class=\"data row4 col7\" >-64</td>\n                        <td id=\"T_aa168_row4_col8\" class=\"data row4 col8\" >-65</td>\n                        <td id=\"T_aa168_row4_col9\" class=\"data row4 col9\" >-74</td>\n                        <td id=\"T_aa168_row4_col10\" class=\"data row4 col10\" >-72</td>\n                        <td id=\"T_aa168_row4_col11\" class=\"data row4 col11\" >-72</td>\n                        <td id=\"T_aa168_row4_col12\" class=\"data row4 col12\" >-72</td>\n                        <td id=\"T_aa168_row4_col13\" class=\"data row4 col13\" >-73</td>\n                        <td id=\"T_aa168_row4_col14\" class=\"data row4 col14\" >-73</td>\n                        <td id=\"T_aa168_row4_col15\" class=\"data row4 col15\" >-55</td>\n                        <td id=\"T_aa168_row4_col16\" class=\"data row4 col16\" >-55</td>\n                        <td id=\"T_aa168_row4_col17\" class=\"data row4 col17\" >-69</td>\n                        <td id=\"T_aa168_row4_col18\" class=\"data row4 col18\" >-59</td>\n                        <td id=\"T_aa168_row4_col19\" class=\"data row4 col19\" >-59</td>\n                        <td id=\"T_aa168_row4_col20\" class=\"data row4 col20\" >-58</td>\n                        <td id=\"T_aa168_row4_col21\" class=\"data row4 col21\" >-86</td>\n                        <td id=\"T_aa168_row4_col22\" class=\"data row4 col22\" >-61</td>\n                        <td id=\"T_aa168_row4_col23\" class=\"data row4 col23\" >-86</td>\n                        <td id=\"T_aa168_row4_col24\" class=\"data row4 col24\" >nan</td>\n                        <td id=\"T_aa168_row4_col25\" class=\"data row4 col25\" >-80</td>\n                        <td id=\"T_aa168_row4_col26\" class=\"data row4 col26\" >-82</td>\n                        <td id=\"T_aa168_row4_col27\" class=\"data row4 col27\" >-82</td>\n                        <td id=\"T_aa168_row4_col28\" class=\"data row4 col28\" >-71</td>\n                        <td id=\"T_aa168_row4_col29\" class=\"data row4 col29\" >-83</td>\n                        <td id=\"T_aa168_row4_col30\" class=\"data row4 col30\" >-83</td>\n                        <td id=\"T_aa168_row4_col31\" class=\"data row4 col31\" >-84</td>\n                        <td id=\"T_aa168_row4_col32\" class=\"data row4 col32\" >-84</td>\n                        <td id=\"T_aa168_row4_col33\" class=\"data row4 col33\" >-83</td>\n                        <td id=\"T_aa168_row4_col34\" class=\"data row4 col34\" >-82</td>\n                        <td id=\"T_aa168_row4_col35\" class=\"data row4 col35\" >-81</td>\n                        <td id=\"T_aa168_row4_col36\" class=\"data row4 col36\" >-87</td>\n                        <td id=\"T_aa168_row4_col37\" class=\"data row4 col37\" >-83</td>\n                        <td id=\"T_aa168_row4_col38\" class=\"data row4 col38\" >-81</td>\n                        <td id=\"T_aa168_row4_col39\" class=\"data row4 col39\" >nan</td>\n                        <td id=\"T_aa168_row4_col40\" class=\"data row4 col40\" >nan</td>\n                        <td id=\"T_aa168_row4_col41\" class=\"data row4 col41\" >-78</td>\n                        <td id=\"T_aa168_row4_col42\" class=\"data row4 col42\" >-82</td>\n                        <td id=\"T_aa168_row4_col43\" class=\"data row4 col43\" >-78</td>\n                        <td id=\"T_aa168_row4_col44\" class=\"data row4 col44\" >-78</td>\n                        <td id=\"T_aa168_row4_col45\" class=\"data row4 col45\" >-75</td>\n                        <td id=\"T_aa168_row4_col46\" class=\"data row4 col46\" >nan</td>\n                        <td id=\"T_aa168_row4_col47\" class=\"data row4 col47\" >-82</td>\n                        <td id=\"T_aa168_row4_col48\" class=\"data row4 col48\" >-80</td>\n                        <td id=\"T_aa168_row4_col49\" class=\"data row4 col49\" >-90</td>\n                        <td id=\"T_aa168_row4_col50\" class=\"data row4 col50\" >-81</td>\n                        <td id=\"T_aa168_row4_col51\" class=\"data row4 col51\" >-79</td>\n                        <td id=\"T_aa168_row4_col52\" class=\"data row4 col52\" >-82</td>\n                        <td id=\"T_aa168_row4_col53\" class=\"data row4 col53\" >-81</td>\n                        <td id=\"T_aa168_row4_col54\" class=\"data row4 col54\" >nan</td>\n                        <td id=\"T_aa168_row4_col55\" class=\"data row4 col55\" >nan</td>\n                        <td id=\"T_aa168_row4_col56\" class=\"data row4 col56\" >nan</td>\n                        <td id=\"T_aa168_row4_col57\" class=\"data row4 col57\" >nan</td>\n                        <td id=\"T_aa168_row4_col58\" class=\"data row4 col58\" >-87</td>\n                        <td id=\"T_aa168_row4_col59\" class=\"data row4 col59\" >-87</td>\n                        <td id=\"T_aa168_row4_col60\" class=\"data row4 col60\" >-86</td>\n                        <td id=\"T_aa168_row4_col61\" class=\"data row4 col61\" >-91</td>\n                        <td id=\"T_aa168_row4_col62\" class=\"data row4 col62\" >-73</td>\n                        <td id=\"T_aa168_row4_col63\" class=\"data row4 col63\" >-68</td>\n                        <td id=\"T_aa168_row4_col64\" class=\"data row4 col64\" >nan</td>\n                        <td id=\"T_aa168_row4_col65\" class=\"data row4 col65\" >-82</td>\n                        <td id=\"T_aa168_row4_col66\" class=\"data row4 col66\" >-85</td>\n                        <td id=\"T_aa168_row4_col67\" class=\"data row4 col67\" >-82</td>\n                        <td id=\"T_aa168_row4_col68\" class=\"data row4 col68\" >-87</td>\n                        <td id=\"T_aa168_row4_col69\" class=\"data row4 col69\" >-87</td>\n                        <td id=\"T_aa168_row4_col70\" class=\"data row4 col70\" >-86</td>\n                        <td id=\"T_aa168_row4_col71\" class=\"data row4 col71\" >-87</td>\n                        <td id=\"T_aa168_row4_col72\" class=\"data row4 col72\" >-89</td>\n                        <td id=\"T_aa168_row4_col73\" class=\"data row4 col73\" >-82</td>\n                        <td id=\"T_aa168_row4_col74\" class=\"data row4 col74\" >nan</td>\n                        <td id=\"T_aa168_row4_col75\" class=\"data row4 col75\" >-78</td>\n                        <td id=\"T_aa168_row4_col76\" class=\"data row4 col76\" >-83</td>\n                        <td id=\"T_aa168_row4_col77\" class=\"data row4 col77\" >-83</td>\n                        <td id=\"T_aa168_row4_col78\" class=\"data row4 col78\" >-85</td>\n                        <td id=\"T_aa168_row4_col79\" class=\"data row4 col79\" >-83</td>\n                        <td id=\"T_aa168_row4_col80\" class=\"data row4 col80\" >-89</td>\n                        <td id=\"T_aa168_row4_col81\" class=\"data row4 col81\" >nan</td>\n                        <td id=\"T_aa168_row4_col82\" class=\"data row4 col82\" >nan</td>\n                        <td id=\"T_aa168_row4_col83\" class=\"data row4 col83\" >-84</td>\n                        <td id=\"T_aa168_row4_col84\" class=\"data row4 col84\" >-80</td>\n                        <td id=\"T_aa168_row4_col85\" class=\"data row4 col85\" >-85</td>\n                        <td id=\"T_aa168_row4_col86\" class=\"data row4 col86\" >-84</td>\n                        <td id=\"T_aa168_row4_col87\" class=\"data row4 col87\" >-85</td>\n                        <td id=\"T_aa168_row4_col88\" class=\"data row4 col88\" >-86</td>\n                        <td id=\"T_aa168_row4_col89\" class=\"data row4 col89\" >-74</td>\n                        <td id=\"T_aa168_row4_col90\" class=\"data row4 col90\" >-85</td>\n                        <td id=\"T_aa168_row4_col91\" class=\"data row4 col91\" >-85</td>\n                        <td id=\"T_aa168_row4_col92\" class=\"data row4 col92\" >-85</td>\n                        <td id=\"T_aa168_row4_col93\" class=\"data row4 col93\" >-85</td>\n                        <td id=\"T_aa168_row4_col94\" class=\"data row4 col94\" >-86</td>\n                        <td id=\"T_aa168_row4_col95\" class=\"data row4 col95\" >-86</td>\n                        <td id=\"T_aa168_row4_col96\" class=\"data row4 col96\" >-86</td>\n                        <td id=\"T_aa168_row4_col97\" class=\"data row4 col97\" >-86</td>\n                        <td id=\"T_aa168_row4_col98\" class=\"data row4 col98\" >-93</td>\n                        <td id=\"T_aa168_row4_col99\" class=\"data row4 col99\" >nan</td>\n                        <td id=\"T_aa168_row4_col100\" class=\"data row4 col100\" >nan</td>\n                        <td id=\"T_aa168_row4_col101\" class=\"data row4 col101\" >-90</td>\n                        <td id=\"T_aa168_row4_col102\" class=\"data row4 col102\" >-73</td>\n                        <td id=\"T_aa168_row4_col103\" class=\"data row4 col103\" >-87</td>\n                        <td id=\"T_aa168_row4_col104\" class=\"data row4 col104\" >-87</td>\n                        <td id=\"T_aa168_row4_col105\" class=\"data row4 col105\" >-87</td>\n                        <td id=\"T_aa168_row4_col106\" class=\"data row4 col106\" >-87</td>\n                        <td id=\"T_aa168_row4_col107\" class=\"data row4 col107\" >-87</td>\n                        <td id=\"T_aa168_row4_col108\" class=\"data row4 col108\" >nan</td>\n                        <td id=\"T_aa168_row4_col109\" class=\"data row4 col109\" >nan</td>\n                        <td id=\"T_aa168_row4_col110\" class=\"data row4 col110\" >-88</td>\n                        <td id=\"T_aa168_row4_col111\" class=\"data row4 col111\" >-88</td>\n                        <td id=\"T_aa168_row4_col112\" class=\"data row4 col112\" >-88</td>\n                        <td id=\"T_aa168_row4_col113\" class=\"data row4 col113\" >-88</td>\n                        <td id=\"T_aa168_row4_col114\" class=\"data row4 col114\" >-88</td>\n                        <td id=\"T_aa168_row4_col115\" class=\"data row4 col115\" >-88</td>\n                        <td id=\"T_aa168_row4_col116\" class=\"data row4 col116\" >-88</td>\n                        <td id=\"T_aa168_row4_col117\" class=\"data row4 col117\" >-89</td>\n                        <td id=\"T_aa168_row4_col118\" class=\"data row4 col118\" >nan</td>\n                        <td id=\"T_aa168_row4_col119\" class=\"data row4 col119\" >nan</td>\n                        <td id=\"T_aa168_row4_col120\" class=\"data row4 col120\" >nan</td>\n                        <td id=\"T_aa168_row4_col121\" class=\"data row4 col121\" >nan</td>\n                        <td id=\"T_aa168_row4_col122\" class=\"data row4 col122\" >-89</td>\n                        <td id=\"T_aa168_row4_col123\" class=\"data row4 col123\" >-89</td>\n                        <td id=\"T_aa168_row4_col124\" class=\"data row4 col124\" >-89</td>\n                        <td id=\"T_aa168_row4_col125\" class=\"data row4 col125\" >-89</td>\n                        <td id=\"T_aa168_row4_col126\" class=\"data row4 col126\" >-78</td>\n                        <td id=\"T_aa168_row4_col127\" class=\"data row4 col127\" >nan</td>\n                        <td id=\"T_aa168_row4_col128\" class=\"data row4 col128\" >nan</td>\n                        <td id=\"T_aa168_row4_col129\" class=\"data row4 col129\" >nan</td>\n                        <td id=\"T_aa168_row4_col130\" class=\"data row4 col130\" >-90</td>\n                        <td id=\"T_aa168_row4_col131\" class=\"data row4 col131\" >-90</td>\n                        <td id=\"T_aa168_row4_col132\" class=\"data row4 col132\" >-91</td>\n                        <td id=\"T_aa168_row4_col133\" class=\"data row4 col133\" >-93</td>\n                        <td id=\"T_aa168_row4_col134\" class=\"data row4 col134\" >-93</td>\n                        <td id=\"T_aa168_row4_col135\" class=\"data row4 col135\" >nan</td>\n                        <td id=\"T_aa168_row4_col136\" class=\"data row4 col136\" >nan</td>\n            </tr>\n            <tr>\n                        <th id=\"T_aa168_level0_row5\" class=\"row_heading level0 row5\" >5</th>\n                        <td id=\"T_aa168_row5_col0\" class=\"data row5 col0\" >1578470495152</td>\n                        <td id=\"T_aa168_row5_col1\" class=\"data row5 col1\" >-61</td>\n                        <td id=\"T_aa168_row5_col2\" class=\"data row5 col2\" >-70</td>\n                        <td id=\"T_aa168_row5_col3\" class=\"data row5 col3\" >-65</td>\n                        <td id=\"T_aa168_row5_col4\" class=\"data row5 col4\" >-69</td>\n                        <td id=\"T_aa168_row5_col5\" class=\"data row5 col5\" >-69</td>\n                        <td id=\"T_aa168_row5_col6\" class=\"data row5 col6\" >-67</td>\n                        <td id=\"T_aa168_row5_col7\" class=\"data row5 col7\" >-68</td>\n                        <td id=\"T_aa168_row5_col8\" class=\"data row5 col8\" >-68</td>\n                        <td id=\"T_aa168_row5_col9\" class=\"data row5 col9\" >-68</td>\n                        <td id=\"T_aa168_row5_col10\" class=\"data row5 col10\" >-70</td>\n                        <td id=\"T_aa168_row5_col11\" class=\"data row5 col11\" >-70</td>\n                        <td id=\"T_aa168_row5_col12\" class=\"data row5 col12\" >-70</td>\n                        <td id=\"T_aa168_row5_col13\" class=\"data row5 col13\" >-69</td>\n                        <td id=\"T_aa168_row5_col14\" class=\"data row5 col14\" >-70</td>\n                        <td id=\"T_aa168_row5_col15\" class=\"data row5 col15\" >-48</td>\n                        <td id=\"T_aa168_row5_col16\" class=\"data row5 col16\" >-46</td>\n                        <td id=\"T_aa168_row5_col17\" class=\"data row5 col17\" >-68</td>\n                        <td id=\"T_aa168_row5_col18\" class=\"data row5 col18\" >-59</td>\n                        <td id=\"T_aa168_row5_col19\" class=\"data row5 col19\" >-60</td>\n                        <td id=\"T_aa168_row5_col20\" class=\"data row5 col20\" >-57</td>\n                        <td id=\"T_aa168_row5_col21\" class=\"data row5 col21\" >-80</td>\n                        <td id=\"T_aa168_row5_col22\" class=\"data row5 col22\" >-61</td>\n                        <td id=\"T_aa168_row5_col23\" class=\"data row5 col23\" >-86</td>\n                        <td id=\"T_aa168_row5_col24\" class=\"data row5 col24\" >nan</td>\n                        <td id=\"T_aa168_row5_col25\" class=\"data row5 col25\" >-81</td>\n                        <td id=\"T_aa168_row5_col26\" class=\"data row5 col26\" >-85</td>\n                        <td id=\"T_aa168_row5_col27\" class=\"data row5 col27\" >-82</td>\n                        <td id=\"T_aa168_row5_col28\" class=\"data row5 col28\" >-68</td>\n                        <td id=\"T_aa168_row5_col29\" class=\"data row5 col29\" >-83</td>\n                        <td id=\"T_aa168_row5_col30\" class=\"data row5 col30\" >-83</td>\n                        <td id=\"T_aa168_row5_col31\" class=\"data row5 col31\" >-82</td>\n                        <td id=\"T_aa168_row5_col32\" class=\"data row5 col32\" >-82</td>\n                        <td id=\"T_aa168_row5_col33\" class=\"data row5 col33\" >-82</td>\n                        <td id=\"T_aa168_row5_col34\" class=\"data row5 col34\" >-82</td>\n                        <td id=\"T_aa168_row5_col35\" class=\"data row5 col35\" >-81</td>\n                        <td id=\"T_aa168_row5_col36\" class=\"data row5 col36\" >-87</td>\n                        <td id=\"T_aa168_row5_col37\" class=\"data row5 col37\" >-83</td>\n                        <td id=\"T_aa168_row5_col38\" class=\"data row5 col38\" >-81</td>\n                        <td id=\"T_aa168_row5_col39\" class=\"data row5 col39\" >nan</td>\n                        <td id=\"T_aa168_row5_col40\" class=\"data row5 col40\" >nan</td>\n                        <td id=\"T_aa168_row5_col41\" class=\"data row5 col41\" >-78</td>\n                        <td id=\"T_aa168_row5_col42\" class=\"data row5 col42\" >-82</td>\n                        <td id=\"T_aa168_row5_col43\" class=\"data row5 col43\" >-78</td>\n                        <td id=\"T_aa168_row5_col44\" class=\"data row5 col44\" >-78</td>\n                        <td id=\"T_aa168_row5_col45\" class=\"data row5 col45\" >-75</td>\n                        <td id=\"T_aa168_row5_col46\" class=\"data row5 col46\" >nan</td>\n                        <td id=\"T_aa168_row5_col47\" class=\"data row5 col47\" >-82</td>\n                        <td id=\"T_aa168_row5_col48\" class=\"data row5 col48\" >-80</td>\n                        <td id=\"T_aa168_row5_col49\" class=\"data row5 col49\" >-90</td>\n                        <td id=\"T_aa168_row5_col50\" class=\"data row5 col50\" >-88</td>\n                        <td id=\"T_aa168_row5_col51\" class=\"data row5 col51\" >-79</td>\n                        <td id=\"T_aa168_row5_col52\" class=\"data row5 col52\" >-82</td>\n                        <td id=\"T_aa168_row5_col53\" class=\"data row5 col53\" >-81</td>\n                        <td id=\"T_aa168_row5_col54\" class=\"data row5 col54\" >-86</td>\n                        <td id=\"T_aa168_row5_col55\" class=\"data row5 col55\" >-86</td>\n                        <td id=\"T_aa168_row5_col56\" class=\"data row5 col56\" >-87</td>\n                        <td id=\"T_aa168_row5_col57\" class=\"data row5 col57\" >-87</td>\n                        <td id=\"T_aa168_row5_col58\" class=\"data row5 col58\" >-87</td>\n                        <td id=\"T_aa168_row5_col59\" class=\"data row5 col59\" >-85</td>\n                        <td id=\"T_aa168_row5_col60\" class=\"data row5 col60\" >-86</td>\n                        <td id=\"T_aa168_row5_col61\" class=\"data row5 col61\" >-92</td>\n                        <td id=\"T_aa168_row5_col62\" class=\"data row5 col62\" >-68</td>\n                        <td id=\"T_aa168_row5_col63\" class=\"data row5 col63\" >-68</td>\n                        <td id=\"T_aa168_row5_col64\" class=\"data row5 col64\" >-86</td>\n                        <td id=\"T_aa168_row5_col65\" class=\"data row5 col65\" >-82</td>\n                        <td id=\"T_aa168_row5_col66\" class=\"data row5 col66\" >-85</td>\n                        <td id=\"T_aa168_row5_col67\" class=\"data row5 col67\" >-82</td>\n                        <td id=\"T_aa168_row5_col68\" class=\"data row5 col68\" >-87</td>\n                        <td id=\"T_aa168_row5_col69\" class=\"data row5 col69\" >-88</td>\n                        <td id=\"T_aa168_row5_col70\" class=\"data row5 col70\" >-87</td>\n                        <td id=\"T_aa168_row5_col71\" class=\"data row5 col71\" >-87</td>\n                        <td id=\"T_aa168_row5_col72\" class=\"data row5 col72\" >-89</td>\n                        <td id=\"T_aa168_row5_col73\" class=\"data row5 col73\" >-82</td>\n                        <td id=\"T_aa168_row5_col74\" class=\"data row5 col74\" >nan</td>\n                        <td id=\"T_aa168_row5_col75\" class=\"data row5 col75\" >-69</td>\n                        <td id=\"T_aa168_row5_col76\" class=\"data row5 col76\" >-83</td>\n                        <td id=\"T_aa168_row5_col77\" class=\"data row5 col77\" >-83</td>\n                        <td id=\"T_aa168_row5_col78\" class=\"data row5 col78\" >-85</td>\n                        <td id=\"T_aa168_row5_col79\" class=\"data row5 col79\" >-83</td>\n                        <td id=\"T_aa168_row5_col80\" class=\"data row5 col80\" >-89</td>\n                        <td id=\"T_aa168_row5_col81\" class=\"data row5 col81\" >-85</td>\n                        <td id=\"T_aa168_row5_col82\" class=\"data row5 col82\" >nan</td>\n                        <td id=\"T_aa168_row5_col83\" class=\"data row5 col83\" >-84</td>\n                        <td id=\"T_aa168_row5_col84\" class=\"data row5 col84\" >-80</td>\n                        <td id=\"T_aa168_row5_col85\" class=\"data row5 col85\" >-85</td>\n                        <td id=\"T_aa168_row5_col86\" class=\"data row5 col86\" >-84</td>\n                        <td id=\"T_aa168_row5_col87\" class=\"data row5 col87\" >-85</td>\n                        <td id=\"T_aa168_row5_col88\" class=\"data row5 col88\" >-86</td>\n                        <td id=\"T_aa168_row5_col89\" class=\"data row5 col89\" >-68</td>\n                        <td id=\"T_aa168_row5_col90\" class=\"data row5 col90\" >-85</td>\n                        <td id=\"T_aa168_row5_col91\" class=\"data row5 col91\" >nan</td>\n                        <td id=\"T_aa168_row5_col92\" class=\"data row5 col92\" >-85</td>\n                        <td id=\"T_aa168_row5_col93\" class=\"data row5 col93\" >-85</td>\n                        <td id=\"T_aa168_row5_col94\" class=\"data row5 col94\" >-86</td>\n                        <td id=\"T_aa168_row5_col95\" class=\"data row5 col95\" >-86</td>\n                        <td id=\"T_aa168_row5_col96\" class=\"data row5 col96\" >-86</td>\n                        <td id=\"T_aa168_row5_col97\" class=\"data row5 col97\" >-86</td>\n                        <td id=\"T_aa168_row5_col98\" class=\"data row5 col98\" >-93</td>\n                        <td id=\"T_aa168_row5_col99\" class=\"data row5 col99\" >nan</td>\n                        <td id=\"T_aa168_row5_col100\" class=\"data row5 col100\" >nan</td>\n                        <td id=\"T_aa168_row5_col101\" class=\"data row5 col101\" >-90</td>\n                        <td id=\"T_aa168_row5_col102\" class=\"data row5 col102\" >-67</td>\n                        <td id=\"T_aa168_row5_col103\" class=\"data row5 col103\" >-87</td>\n                        <td id=\"T_aa168_row5_col104\" class=\"data row5 col104\" >-87</td>\n                        <td id=\"T_aa168_row5_col105\" class=\"data row5 col105\" >-87</td>\n                        <td id=\"T_aa168_row5_col106\" class=\"data row5 col106\" >-87</td>\n                        <td id=\"T_aa168_row5_col107\" class=\"data row5 col107\" >-87</td>\n                        <td id=\"T_aa168_row5_col108\" class=\"data row5 col108\" >nan</td>\n                        <td id=\"T_aa168_row5_col109\" class=\"data row5 col109\" >nan</td>\n                        <td id=\"T_aa168_row5_col110\" class=\"data row5 col110\" >-88</td>\n                        <td id=\"T_aa168_row5_col111\" class=\"data row5 col111\" >-88</td>\n                        <td id=\"T_aa168_row5_col112\" class=\"data row5 col112\" >-88</td>\n                        <td id=\"T_aa168_row5_col113\" class=\"data row5 col113\" >-88</td>\n                        <td id=\"T_aa168_row5_col114\" class=\"data row5 col114\" >-88</td>\n                        <td id=\"T_aa168_row5_col115\" class=\"data row5 col115\" >-88</td>\n                        <td id=\"T_aa168_row5_col116\" class=\"data row5 col116\" >-88</td>\n                        <td id=\"T_aa168_row5_col117\" class=\"data row5 col117\" >-89</td>\n                        <td id=\"T_aa168_row5_col118\" class=\"data row5 col118\" >-88</td>\n                        <td id=\"T_aa168_row5_col119\" class=\"data row5 col119\" >nan</td>\n                        <td id=\"T_aa168_row5_col120\" class=\"data row5 col120\" >-91</td>\n                        <td id=\"T_aa168_row5_col121\" class=\"data row5 col121\" >nan</td>\n                        <td id=\"T_aa168_row5_col122\" class=\"data row5 col122\" >-89</td>\n                        <td id=\"T_aa168_row5_col123\" class=\"data row5 col123\" >-89</td>\n                        <td id=\"T_aa168_row5_col124\" class=\"data row5 col124\" >-89</td>\n                        <td id=\"T_aa168_row5_col125\" class=\"data row5 col125\" >-89</td>\n                        <td id=\"T_aa168_row5_col126\" class=\"data row5 col126\" >-78</td>\n                        <td id=\"T_aa168_row5_col127\" class=\"data row5 col127\" >-89</td>\n                        <td id=\"T_aa168_row5_col128\" class=\"data row5 col128\" >nan</td>\n                        <td id=\"T_aa168_row5_col129\" class=\"data row5 col129\" >nan</td>\n                        <td id=\"T_aa168_row5_col130\" class=\"data row5 col130\" >-90</td>\n                        <td id=\"T_aa168_row5_col131\" class=\"data row5 col131\" >-90</td>\n                        <td id=\"T_aa168_row5_col132\" class=\"data row5 col132\" >-91</td>\n                        <td id=\"T_aa168_row5_col133\" class=\"data row5 col133\" >-93</td>\n                        <td id=\"T_aa168_row5_col134\" class=\"data row5 col134\" >-93</td>\n                        <td id=\"T_aa168_row5_col135\" class=\"data row5 col135\" >nan</td>\n                        <td id=\"T_aa168_row5_col136\" class=\"data row5 col136\" >nan</td>\n            </tr>\n            <tr>\n                        <th id=\"T_aa168_level0_row6\" class=\"row_heading level0 row6\" >6</th>\n                        <td id=\"T_aa168_row6_col0\" class=\"data row6 col0\" >1578470497086</td>\n                        <td id=\"T_aa168_row6_col1\" class=\"data row6 col1\" >-64</td>\n                        <td id=\"T_aa168_row6_col2\" class=\"data row6 col2\" >-71</td>\n                        <td id=\"T_aa168_row6_col3\" class=\"data row6 col3\" >-65</td>\n                        <td id=\"T_aa168_row6_col4\" class=\"data row6 col4\" >-75</td>\n                        <td id=\"T_aa168_row6_col5\" class=\"data row6 col5\" >-75</td>\n                        <td id=\"T_aa168_row6_col6\" class=\"data row6 col6\" >-77</td>\n                        <td id=\"T_aa168_row6_col7\" class=\"data row6 col7\" >-75</td>\n                        <td id=\"T_aa168_row6_col8\" class=\"data row6 col8\" >-76</td>\n                        <td id=\"T_aa168_row6_col9\" class=\"data row6 col9\" >-77</td>\n                        <td id=\"T_aa168_row6_col10\" class=\"data row6 col10\" >-70</td>\n                        <td id=\"T_aa168_row6_col11\" class=\"data row6 col11\" >-70</td>\n                        <td id=\"T_aa168_row6_col12\" class=\"data row6 col12\" >-70</td>\n                        <td id=\"T_aa168_row6_col13\" class=\"data row6 col13\" >-70</td>\n                        <td id=\"T_aa168_row6_col14\" class=\"data row6 col14\" >-71</td>\n                        <td id=\"T_aa168_row6_col15\" class=\"data row6 col15\" >-48</td>\n                        <td id=\"T_aa168_row6_col16\" class=\"data row6 col16\" >-38</td>\n                        <td id=\"T_aa168_row6_col17\" class=\"data row6 col17\" >-68</td>\n                        <td id=\"T_aa168_row6_col18\" class=\"data row6 col18\" >-43</td>\n                        <td id=\"T_aa168_row6_col19\" class=\"data row6 col19\" >-57</td>\n                        <td id=\"T_aa168_row6_col20\" class=\"data row6 col20\" >-51</td>\n                        <td id=\"T_aa168_row6_col21\" class=\"data row6 col21\" >-82</td>\n                        <td id=\"T_aa168_row6_col22\" class=\"data row6 col22\" >-61</td>\n                        <td id=\"T_aa168_row6_col23\" class=\"data row6 col23\" >-86</td>\n                        <td id=\"T_aa168_row6_col24\" class=\"data row6 col24\" >nan</td>\n                        <td id=\"T_aa168_row6_col25\" class=\"data row6 col25\" >-81</td>\n                        <td id=\"T_aa168_row6_col26\" class=\"data row6 col26\" >-85</td>\n                        <td id=\"T_aa168_row6_col27\" class=\"data row6 col27\" >-82</td>\n                        <td id=\"T_aa168_row6_col28\" class=\"data row6 col28\" >-61</td>\n                        <td id=\"T_aa168_row6_col29\" class=\"data row6 col29\" >-80</td>\n                        <td id=\"T_aa168_row6_col30\" class=\"data row6 col30\" >-81</td>\n                        <td id=\"T_aa168_row6_col31\" class=\"data row6 col31\" >-82</td>\n                        <td id=\"T_aa168_row6_col32\" class=\"data row6 col32\" >-82</td>\n                        <td id=\"T_aa168_row6_col33\" class=\"data row6 col33\" >-82</td>\n                        <td id=\"T_aa168_row6_col34\" class=\"data row6 col34\" >-83</td>\n                        <td id=\"T_aa168_row6_col35\" class=\"data row6 col35\" >-81</td>\n                        <td id=\"T_aa168_row6_col36\" class=\"data row6 col36\" >-87</td>\n                        <td id=\"T_aa168_row6_col37\" class=\"data row6 col37\" >-80</td>\n                        <td id=\"T_aa168_row6_col38\" class=\"data row6 col38\" >-81</td>\n                        <td id=\"T_aa168_row6_col39\" class=\"data row6 col39\" >-80</td>\n                        <td id=\"T_aa168_row6_col40\" class=\"data row6 col40\" >nan</td>\n                        <td id=\"T_aa168_row6_col41\" class=\"data row6 col41\" >-78</td>\n                        <td id=\"T_aa168_row6_col42\" class=\"data row6 col42\" >-82</td>\n                        <td id=\"T_aa168_row6_col43\" class=\"data row6 col43\" >-78</td>\n                        <td id=\"T_aa168_row6_col44\" class=\"data row6 col44\" >-78</td>\n                        <td id=\"T_aa168_row6_col45\" class=\"data row6 col45\" >-75</td>\n                        <td id=\"T_aa168_row6_col46\" class=\"data row6 col46\" >nan</td>\n                        <td id=\"T_aa168_row6_col47\" class=\"data row6 col47\" >-75</td>\n                        <td id=\"T_aa168_row6_col48\" class=\"data row6 col48\" >-80</td>\n                        <td id=\"T_aa168_row6_col49\" class=\"data row6 col49\" >-90</td>\n                        <td id=\"T_aa168_row6_col50\" class=\"data row6 col50\" >-88</td>\n                        <td id=\"T_aa168_row6_col51\" class=\"data row6 col51\" >-83</td>\n                        <td id=\"T_aa168_row6_col52\" class=\"data row6 col52\" >-82</td>\n                        <td id=\"T_aa168_row6_col53\" class=\"data row6 col53\" >-83</td>\n                        <td id=\"T_aa168_row6_col54\" class=\"data row6 col54\" >-82</td>\n                        <td id=\"T_aa168_row6_col55\" class=\"data row6 col55\" >-82</td>\n                        <td id=\"T_aa168_row6_col56\" class=\"data row6 col56\" >-81</td>\n                        <td id=\"T_aa168_row6_col57\" class=\"data row6 col57\" >-81</td>\n                        <td id=\"T_aa168_row6_col58\" class=\"data row6 col58\" >-86</td>\n                        <td id=\"T_aa168_row6_col59\" class=\"data row6 col59\" >-85</td>\n                        <td id=\"T_aa168_row6_col60\" class=\"data row6 col60\" >-86</td>\n                        <td id=\"T_aa168_row6_col61\" class=\"data row6 col61\" >-92</td>\n                        <td id=\"T_aa168_row6_col62\" class=\"data row6 col62\" >-64</td>\n                        <td id=\"T_aa168_row6_col63\" class=\"data row6 col63\" >-64</td>\n                        <td id=\"T_aa168_row6_col64\" class=\"data row6 col64\" >-81</td>\n                        <td id=\"T_aa168_row6_col65\" class=\"data row6 col65\" >-82</td>\n                        <td id=\"T_aa168_row6_col66\" class=\"data row6 col66\" >-85</td>\n                        <td id=\"T_aa168_row6_col67\" class=\"data row6 col67\" >-82</td>\n                        <td id=\"T_aa168_row6_col68\" class=\"data row6 col68\" >-87</td>\n                        <td id=\"T_aa168_row6_col69\" class=\"data row6 col69\" >-85</td>\n                        <td id=\"T_aa168_row6_col70\" class=\"data row6 col70\" >-87</td>\n                        <td id=\"T_aa168_row6_col71\" class=\"data row6 col71\" >-87</td>\n                        <td id=\"T_aa168_row6_col72\" class=\"data row6 col72\" >-89</td>\n                        <td id=\"T_aa168_row6_col73\" class=\"data row6 col73\" >-82</td>\n                        <td id=\"T_aa168_row6_col74\" class=\"data row6 col74\" >nan</td>\n                        <td id=\"T_aa168_row6_col75\" class=\"data row6 col75\" >-64</td>\n                        <td id=\"T_aa168_row6_col76\" class=\"data row6 col76\" >-83</td>\n                        <td id=\"T_aa168_row6_col77\" class=\"data row6 col77\" >-83</td>\n                        <td id=\"T_aa168_row6_col78\" class=\"data row6 col78\" >-85</td>\n                        <td id=\"T_aa168_row6_col79\" class=\"data row6 col79\" >-83</td>\n                        <td id=\"T_aa168_row6_col80\" class=\"data row6 col80\" >-89</td>\n                        <td id=\"T_aa168_row6_col81\" class=\"data row6 col81\" >-81</td>\n                        <td id=\"T_aa168_row6_col82\" class=\"data row6 col82\" >nan</td>\n                        <td id=\"T_aa168_row6_col83\" class=\"data row6 col83\" >-84</td>\n                        <td id=\"T_aa168_row6_col84\" class=\"data row6 col84\" >-80</td>\n                        <td id=\"T_aa168_row6_col85\" class=\"data row6 col85\" >-85</td>\n                        <td id=\"T_aa168_row6_col86\" class=\"data row6 col86\" >-84</td>\n                        <td id=\"T_aa168_row6_col87\" class=\"data row6 col87\" >-85</td>\n                        <td id=\"T_aa168_row6_col88\" class=\"data row6 col88\" >-81</td>\n                        <td id=\"T_aa168_row6_col89\" class=\"data row6 col89\" >-62</td>\n                        <td id=\"T_aa168_row6_col90\" class=\"data row6 col90\" >-85</td>\n                        <td id=\"T_aa168_row6_col91\" class=\"data row6 col91\" >nan</td>\n                        <td id=\"T_aa168_row6_col92\" class=\"data row6 col92\" >-85</td>\n                        <td id=\"T_aa168_row6_col93\" class=\"data row6 col93\" >-85</td>\n                        <td id=\"T_aa168_row6_col94\" class=\"data row6 col94\" >-86</td>\n                        <td id=\"T_aa168_row6_col95\" class=\"data row6 col95\" >-86</td>\n                        <td id=\"T_aa168_row6_col96\" class=\"data row6 col96\" >-86</td>\n                        <td id=\"T_aa168_row6_col97\" class=\"data row6 col97\" >-86</td>\n                        <td id=\"T_aa168_row6_col98\" class=\"data row6 col98\" >-93</td>\n                        <td id=\"T_aa168_row6_col99\" class=\"data row6 col99\" >nan</td>\n                        <td id=\"T_aa168_row6_col100\" class=\"data row6 col100\" >nan</td>\n                        <td id=\"T_aa168_row6_col101\" class=\"data row6 col101\" >-90</td>\n                        <td id=\"T_aa168_row6_col102\" class=\"data row6 col102\" >-68</td>\n                        <td id=\"T_aa168_row6_col103\" class=\"data row6 col103\" >-87</td>\n                        <td id=\"T_aa168_row6_col104\" class=\"data row6 col104\" >-87</td>\n                        <td id=\"T_aa168_row6_col105\" class=\"data row6 col105\" >-87</td>\n                        <td id=\"T_aa168_row6_col106\" class=\"data row6 col106\" >-87</td>\n                        <td id=\"T_aa168_row6_col107\" class=\"data row6 col107\" >-87</td>\n                        <td id=\"T_aa168_row6_col108\" class=\"data row6 col108\" >-86</td>\n                        <td id=\"T_aa168_row6_col109\" class=\"data row6 col109\" >nan</td>\n                        <td id=\"T_aa168_row6_col110\" class=\"data row6 col110\" >-88</td>\n                        <td id=\"T_aa168_row6_col111\" class=\"data row6 col111\" >-88</td>\n                        <td id=\"T_aa168_row6_col112\" class=\"data row6 col112\" >-88</td>\n                        <td id=\"T_aa168_row6_col113\" class=\"data row6 col113\" >-88</td>\n                        <td id=\"T_aa168_row6_col114\" class=\"data row6 col114\" >-88</td>\n                        <td id=\"T_aa168_row6_col115\" class=\"data row6 col115\" >-88</td>\n                        <td id=\"T_aa168_row6_col116\" class=\"data row6 col116\" >-88</td>\n                        <td id=\"T_aa168_row6_col117\" class=\"data row6 col117\" >-89</td>\n                        <td id=\"T_aa168_row6_col118\" class=\"data row6 col118\" >-85</td>\n                        <td id=\"T_aa168_row6_col119\" class=\"data row6 col119\" >-86</td>\n                        <td id=\"T_aa168_row6_col120\" class=\"data row6 col120\" >-86</td>\n                        <td id=\"T_aa168_row6_col121\" class=\"data row6 col121\" >nan</td>\n                        <td id=\"T_aa168_row6_col122\" class=\"data row6 col122\" >-89</td>\n                        <td id=\"T_aa168_row6_col123\" class=\"data row6 col123\" >nan</td>\n                        <td id=\"T_aa168_row6_col124\" class=\"data row6 col124\" >-89</td>\n                        <td id=\"T_aa168_row6_col125\" class=\"data row6 col125\" >-89</td>\n                        <td id=\"T_aa168_row6_col126\" class=\"data row6 col126\" >-78</td>\n                        <td id=\"T_aa168_row6_col127\" class=\"data row6 col127\" >-86</td>\n                        <td id=\"T_aa168_row6_col128\" class=\"data row6 col128\" >nan</td>\n                        <td id=\"T_aa168_row6_col129\" class=\"data row6 col129\" >nan</td>\n                        <td id=\"T_aa168_row6_col130\" class=\"data row6 col130\" >-90</td>\n                        <td id=\"T_aa168_row6_col131\" class=\"data row6 col131\" >-90</td>\n                        <td id=\"T_aa168_row6_col132\" class=\"data row6 col132\" >-91</td>\n                        <td id=\"T_aa168_row6_col133\" class=\"data row6 col133\" >-93</td>\n                        <td id=\"T_aa168_row6_col134\" class=\"data row6 col134\" >-93</td>\n                        <td id=\"T_aa168_row6_col135\" class=\"data row6 col135\" >-85</td>\n                        <td id=\"T_aa168_row6_col136\" class=\"data row6 col136\" >nan</td>\n            </tr>\n            <tr>\n                        <th id=\"T_aa168_level0_row7\" class=\"row_heading level0 row7\" >7</th>\n                        <td id=\"T_aa168_row7_col0\" class=\"data row7 col0\" >1578470499017</td>\n                        <td id=\"T_aa168_row7_col1\" class=\"data row7 col1\" >-70</td>\n                        <td id=\"T_aa168_row7_col2\" class=\"data row7 col2\" >-71</td>\n                        <td id=\"T_aa168_row7_col3\" class=\"data row7 col3\" >-65</td>\n                        <td id=\"T_aa168_row7_col4\" class=\"data row7 col4\" >-72</td>\n                        <td id=\"T_aa168_row7_col5\" class=\"data row7 col5\" >-72</td>\n                        <td id=\"T_aa168_row7_col6\" class=\"data row7 col6\" >-72</td>\n                        <td id=\"T_aa168_row7_col7\" class=\"data row7 col7\" >-72</td>\n                        <td id=\"T_aa168_row7_col8\" class=\"data row7 col8\" >-72</td>\n                        <td id=\"T_aa168_row7_col9\" class=\"data row7 col9\" >-72</td>\n                        <td id=\"T_aa168_row7_col10\" class=\"data row7 col10\" >-71</td>\n                        <td id=\"T_aa168_row7_col11\" class=\"data row7 col11\" >-70</td>\n                        <td id=\"T_aa168_row7_col12\" class=\"data row7 col12\" >-71</td>\n                        <td id=\"T_aa168_row7_col13\" class=\"data row7 col13\" >-71</td>\n                        <td id=\"T_aa168_row7_col14\" class=\"data row7 col14\" >-71</td>\n                        <td id=\"T_aa168_row7_col15\" class=\"data row7 col15\" >-48</td>\n                        <td id=\"T_aa168_row7_col16\" class=\"data row7 col16\" >-31</td>\n                        <td id=\"T_aa168_row7_col17\" class=\"data row7 col17\" >-66</td>\n                        <td id=\"T_aa168_row7_col18\" class=\"data row7 col18\" >-35</td>\n                        <td id=\"T_aa168_row7_col19\" class=\"data row7 col19\" >-51</td>\n                        <td id=\"T_aa168_row7_col20\" class=\"data row7 col20\" >-49</td>\n                        <td id=\"T_aa168_row7_col21\" class=\"data row7 col21\" >-83</td>\n                        <td id=\"T_aa168_row7_col22\" class=\"data row7 col22\" >-61</td>\n                        <td id=\"T_aa168_row7_col23\" class=\"data row7 col23\" >-86</td>\n                        <td id=\"T_aa168_row7_col24\" class=\"data row7 col24\" >nan</td>\n                        <td id=\"T_aa168_row7_col25\" class=\"data row7 col25\" >-81</td>\n                        <td id=\"T_aa168_row7_col26\" class=\"data row7 col26\" >-81</td>\n                        <td id=\"T_aa168_row7_col27\" class=\"data row7 col27\" >-82</td>\n                        <td id=\"T_aa168_row7_col28\" class=\"data row7 col28\" >-61</td>\n                        <td id=\"T_aa168_row7_col29\" class=\"data row7 col29\" >-83</td>\n                        <td id=\"T_aa168_row7_col30\" class=\"data row7 col30\" >-83</td>\n                        <td id=\"T_aa168_row7_col31\" class=\"data row7 col31\" >-83</td>\n                        <td id=\"T_aa168_row7_col32\" class=\"data row7 col32\" >-83</td>\n                        <td id=\"T_aa168_row7_col33\" class=\"data row7 col33\" >-83</td>\n                        <td id=\"T_aa168_row7_col34\" class=\"data row7 col34\" >-83</td>\n                        <td id=\"T_aa168_row7_col35\" class=\"data row7 col35\" >-81</td>\n                        <td id=\"T_aa168_row7_col36\" class=\"data row7 col36\" >-87</td>\n                        <td id=\"T_aa168_row7_col37\" class=\"data row7 col37\" >-80</td>\n                        <td id=\"T_aa168_row7_col38\" class=\"data row7 col38\" >-81</td>\n                        <td id=\"T_aa168_row7_col39\" class=\"data row7 col39\" >-79</td>\n                        <td id=\"T_aa168_row7_col40\" class=\"data row7 col40\" >nan</td>\n                        <td id=\"T_aa168_row7_col41\" class=\"data row7 col41\" >nan</td>\n                        <td id=\"T_aa168_row7_col42\" class=\"data row7 col42\" >-82</td>\n                        <td id=\"T_aa168_row7_col43\" class=\"data row7 col43\" >-78</td>\n                        <td id=\"T_aa168_row7_col44\" class=\"data row7 col44\" >-78</td>\n                        <td id=\"T_aa168_row7_col45\" class=\"data row7 col45\" >-72</td>\n                        <td id=\"T_aa168_row7_col46\" class=\"data row7 col46\" >-81</td>\n                        <td id=\"T_aa168_row7_col47\" class=\"data row7 col47\" >-75</td>\n                        <td id=\"T_aa168_row7_col48\" class=\"data row7 col48\" >-80</td>\n                        <td id=\"T_aa168_row7_col49\" class=\"data row7 col49\" >-90</td>\n                        <td id=\"T_aa168_row7_col50\" class=\"data row7 col50\" >-88</td>\n                        <td id=\"T_aa168_row7_col51\" class=\"data row7 col51\" >-83</td>\n                        <td id=\"T_aa168_row7_col52\" class=\"data row7 col52\" >-82</td>\n                        <td id=\"T_aa168_row7_col53\" class=\"data row7 col53\" >-83</td>\n                        <td id=\"T_aa168_row7_col54\" class=\"data row7 col54\" >-82</td>\n                        <td id=\"T_aa168_row7_col55\" class=\"data row7 col55\" >-82</td>\n                        <td id=\"T_aa168_row7_col56\" class=\"data row7 col56\" >-81</td>\n                        <td id=\"T_aa168_row7_col57\" class=\"data row7 col57\" >-81</td>\n                        <td id=\"T_aa168_row7_col58\" class=\"data row7 col58\" >-87</td>\n                        <td id=\"T_aa168_row7_col59\" class=\"data row7 col59\" >-87</td>\n                        <td id=\"T_aa168_row7_col60\" class=\"data row7 col60\" >-86</td>\n                        <td id=\"T_aa168_row7_col61\" class=\"data row7 col61\" >-92</td>\n                        <td id=\"T_aa168_row7_col62\" class=\"data row7 col62\" >-67</td>\n                        <td id=\"T_aa168_row7_col63\" class=\"data row7 col63\" >-66</td>\n                        <td id=\"T_aa168_row7_col64\" class=\"data row7 col64\" >-81</td>\n                        <td id=\"T_aa168_row7_col65\" class=\"data row7 col65\" >-82</td>\n                        <td id=\"T_aa168_row7_col66\" class=\"data row7 col66\" >-85</td>\n                        <td id=\"T_aa168_row7_col67\" class=\"data row7 col67\" >-82</td>\n                        <td id=\"T_aa168_row7_col68\" class=\"data row7 col68\" >-87</td>\n                        <td id=\"T_aa168_row7_col69\" class=\"data row7 col69\" >-87</td>\n                        <td id=\"T_aa168_row7_col70\" class=\"data row7 col70\" >-87</td>\n                        <td id=\"T_aa168_row7_col71\" class=\"data row7 col71\" >-87</td>\n                        <td id=\"T_aa168_row7_col72\" class=\"data row7 col72\" >-89</td>\n                        <td id=\"T_aa168_row7_col73\" class=\"data row7 col73\" >-82</td>\n                        <td id=\"T_aa168_row7_col74\" class=\"data row7 col74\" >nan</td>\n                        <td id=\"T_aa168_row7_col75\" class=\"data row7 col75\" >-67</td>\n                        <td id=\"T_aa168_row7_col76\" class=\"data row7 col76\" >-83</td>\n                        <td id=\"T_aa168_row7_col77\" class=\"data row7 col77\" >-83</td>\n                        <td id=\"T_aa168_row7_col78\" class=\"data row7 col78\" >-85</td>\n                        <td id=\"T_aa168_row7_col79\" class=\"data row7 col79\" >-83</td>\n                        <td id=\"T_aa168_row7_col80\" class=\"data row7 col80\" >-89</td>\n                        <td id=\"T_aa168_row7_col81\" class=\"data row7 col81\" >-81</td>\n                        <td id=\"T_aa168_row7_col82\" class=\"data row7 col82\" >nan</td>\n                        <td id=\"T_aa168_row7_col83\" class=\"data row7 col83\" >-84</td>\n                        <td id=\"T_aa168_row7_col84\" class=\"data row7 col84\" >-80</td>\n                        <td id=\"T_aa168_row7_col85\" class=\"data row7 col85\" >-85</td>\n                        <td id=\"T_aa168_row7_col86\" class=\"data row7 col86\" >-84</td>\n                        <td id=\"T_aa168_row7_col87\" class=\"data row7 col87\" >-85</td>\n                        <td id=\"T_aa168_row7_col88\" class=\"data row7 col88\" >-81</td>\n                        <td id=\"T_aa168_row7_col89\" class=\"data row7 col89\" >-62</td>\n                        <td id=\"T_aa168_row7_col90\" class=\"data row7 col90\" >-85</td>\n                        <td id=\"T_aa168_row7_col91\" class=\"data row7 col91\" >nan</td>\n                        <td id=\"T_aa168_row7_col92\" class=\"data row7 col92\" >-85</td>\n                        <td id=\"T_aa168_row7_col93\" class=\"data row7 col93\" >nan</td>\n                        <td id=\"T_aa168_row7_col94\" class=\"data row7 col94\" >-86</td>\n                        <td id=\"T_aa168_row7_col95\" class=\"data row7 col95\" >-86</td>\n                        <td id=\"T_aa168_row7_col96\" class=\"data row7 col96\" >-86</td>\n                        <td id=\"T_aa168_row7_col97\" class=\"data row7 col97\" >-86</td>\n                        <td id=\"T_aa168_row7_col98\" class=\"data row7 col98\" >-93</td>\n                        <td id=\"T_aa168_row7_col99\" class=\"data row7 col99\" >nan</td>\n                        <td id=\"T_aa168_row7_col100\" class=\"data row7 col100\" >nan</td>\n                        <td id=\"T_aa168_row7_col101\" class=\"data row7 col101\" >-90</td>\n                        <td id=\"T_aa168_row7_col102\" class=\"data row7 col102\" >-72</td>\n                        <td id=\"T_aa168_row7_col103\" class=\"data row7 col103\" >-87</td>\n                        <td id=\"T_aa168_row7_col104\" class=\"data row7 col104\" >nan</td>\n                        <td id=\"T_aa168_row7_col105\" class=\"data row7 col105\" >nan</td>\n                        <td id=\"T_aa168_row7_col106\" class=\"data row7 col106\" >nan</td>\n                        <td id=\"T_aa168_row7_col107\" class=\"data row7 col107\" >nan</td>\n                        <td id=\"T_aa168_row7_col108\" class=\"data row7 col108\" >-88</td>\n                        <td id=\"T_aa168_row7_col109\" class=\"data row7 col109\" >nan</td>\n                        <td id=\"T_aa168_row7_col110\" class=\"data row7 col110\" >-88</td>\n                        <td id=\"T_aa168_row7_col111\" class=\"data row7 col111\" >-88</td>\n                        <td id=\"T_aa168_row7_col112\" class=\"data row7 col112\" >nan</td>\n                        <td id=\"T_aa168_row7_col113\" class=\"data row7 col113\" >nan</td>\n                        <td id=\"T_aa168_row7_col114\" class=\"data row7 col114\" >nan</td>\n                        <td id=\"T_aa168_row7_col115\" class=\"data row7 col115\" >nan</td>\n                        <td id=\"T_aa168_row7_col116\" class=\"data row7 col116\" >-88</td>\n                        <td id=\"T_aa168_row7_col117\" class=\"data row7 col117\" >-89</td>\n                        <td id=\"T_aa168_row7_col118\" class=\"data row7 col118\" >-88</td>\n                        <td id=\"T_aa168_row7_col119\" class=\"data row7 col119\" >-88</td>\n                        <td id=\"T_aa168_row7_col120\" class=\"data row7 col120\" >-90</td>\n                        <td id=\"T_aa168_row7_col121\" class=\"data row7 col121\" >nan</td>\n                        <td id=\"T_aa168_row7_col122\" class=\"data row7 col122\" >-89</td>\n                        <td id=\"T_aa168_row7_col123\" class=\"data row7 col123\" >nan</td>\n                        <td id=\"T_aa168_row7_col124\" class=\"data row7 col124\" >nan</td>\n                        <td id=\"T_aa168_row7_col125\" class=\"data row7 col125\" >nan</td>\n                        <td id=\"T_aa168_row7_col126\" class=\"data row7 col126\" >-66</td>\n                        <td id=\"T_aa168_row7_col127\" class=\"data row7 col127\" >-89</td>\n                        <td id=\"T_aa168_row7_col128\" class=\"data row7 col128\" >nan</td>\n                        <td id=\"T_aa168_row7_col129\" class=\"data row7 col129\" >nan</td>\n                        <td id=\"T_aa168_row7_col130\" class=\"data row7 col130\" >nan</td>\n                        <td id=\"T_aa168_row7_col131\" class=\"data row7 col131\" >nan</td>\n                        <td id=\"T_aa168_row7_col132\" class=\"data row7 col132\" >-91</td>\n                        <td id=\"T_aa168_row7_col133\" class=\"data row7 col133\" >-93</td>\n                        <td id=\"T_aa168_row7_col134\" class=\"data row7 col134\" >-90</td>\n                        <td id=\"T_aa168_row7_col135\" class=\"data row7 col135\" >-85</td>\n                        <td id=\"T_aa168_row7_col136\" class=\"data row7 col136\" >-85</td>\n            </tr>\n    </tbody></table>"},"metadata":{}}]},{"cell_type":"code","source":"from io_f import read_data_file\n\n# Read in 1 random example\nsample_file = read_data_file(path)\nsample_file.waypoint.shape","metadata":{"execution":{"iopub.status.busy":"2023-04-30T14:47:55.681552Z","iopub.execute_input":"2023-04-30T14:47:55.681965Z","iopub.status.idle":"2023-04-30T14:47:55.75293Z","shell.execute_reply.started":"2023-04-30T14:47:55.681932Z","shell.execute_reply":"2023-04-30T14:47:55.751308Z"},"trusted":true},"execution_count":8,"outputs":[{"execution_count":8,"output_type":"execute_result","data":{"text/plain":"(4, 3)"},"metadata":{}}]},{"cell_type":"code","source":"ssubm = pd.read_csv('../input/indoor-location-navigation/sample_submission.csv')\n\nssubm_df = ssubm[\"site_path_timestamp\"].apply(lambda x: pd.Series(x.split(\"_\")))\nused_buildings = sorted(ssubm_df[0].value_counts().index.tolist())\n\n# dictionary used to map the floor codes to the values used in the submission file. \nfloor_map = {\"B2\":-2, \"B1\":-1, \"F1\":0, \"F2\": 1, \"F3\":2, \"F4\":3, \"F5\":4, \"F6\":5, \"F7\":6,\"F8\":7, \"F9\":8,\n             \"1F\":0, \"2F\":1, \"3F\":2, \"4F\":3, \"5F\":4, \"6F\":5, \"7F\":6, \"8F\": 7, \"9F\":8}","metadata":{"execution":{"iopub.status.busy":"2023-04-23T08:49:04.336998Z","iopub.execute_input":"2023-04-23T08:49:04.337459Z","iopub.status.idle":"2023-04-23T08:49:06.824022Z","shell.execute_reply.started":"2023-04-23T08:49:04.337421Z","shell.execute_reply":"2023-04-23T08:49:06.822616Z"},"trusted":true},"execution_count":8,"outputs":[]},{"cell_type":"code","source":"/kaggle/input/indoor-location-navigation/sample_submission.csv","metadata":{},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"base = \"/kaggle/input\"\n\nfeature_dir = f\"{base}/indoor-navigation-and-location-wifi-features/wifi_features\"\ntrain_files = sorted(glob.glob(os.path.join(feature_dir, 'train/*.csv')))\ntest_files = sorted(glob.glob(os.path.join(feature_dir, 'test/*.csv')))\nsubm = pd.read_csv(f'{base}/indoor-location-navigation/sample_submission.csv', index_col=0)","metadata":{"execution":{"iopub.status.busy":"2023-04-24T04:37:24.778759Z","iopub.execute_input":"2023-04-24T04:37:24.779127Z","iopub.status.idle":"2023-04-24T04:37:24.814448Z","shell.execute_reply.started":"2023-04-24T04:37:24.779091Z","shell.execute_reply":"2023-04-24T04:37:24.813678Z"},"trusted":true},"execution_count":12,"outputs":[]},{"cell_type":"code","source":"data = pd.read_csv(train_files[0])","metadata":{"execution":{"iopub.status.busy":"2023-04-24T04:38:50.575137Z","iopub.execute_input":"2023-04-24T04:38:50.575526Z","iopub.status.idle":"2023-04-24T04:38:52.397914Z","shell.execute_reply.started":"2023-04-24T04:38:50.575488Z","shell.execute_reply":"2023-04-24T04:38:52.397178Z"},"trusted":true},"execution_count":15,"outputs":[{"execution_count":15,"output_type":"execute_result","data":{"text/plain":"      Unnamed: 0  000840e5c600de293cea57f13326f273c86c3988  \\\n0              4                                      -999   \n1              4                        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                      -999   \n\n      fe3211f90e4ab1f500e10fe175ae6142f4b13130  \\\n0                                         -999   \n1                                         -999   \n2                                         -999   \n3                                         -999   \n4                                         -999   \n...                                        ...   \n9291                                      -999   \n9292                                      -999   \n9293                                      -999   \n9294                                      -999   \n9295                                      -999   \n\n      ffa41c79865d7fb336f586e0dec8b080db1027fb          x          y  f  \\\n0                                         -999  155.65668  89.405980 -1   \n1                                         -999  155.65668  89.405980 -1   \n2                                         -999  154.68399  81.807920 -1   \n3                                         -999  154.68399  81.807920 -1   \n4                                         -999  154.68399  81.807920 -1   \n...                                        ...        ...        ... ..   \n9291                                      -999  167.28722  47.034103  3   \n9292                                      -999  174.98906  48.025883  3   \n9293                                      -999  174.98906  48.025883  3   \n9294                                      -999  174.98906  48.025883  3   \n9295                                      -999  174.98906  48.025883  3   \n\n                          path  \n0     5e158edff4c3420006d52172  \n1     5e158edff4c3420006d52172  \n2     5e158edff4c3420006d52172  \n3     5e158edff4c3420006d52172  \n4     5e158edff4c3420006d52172  \n...                        ...  \n9291  5d11dc13ffe23f0008604f5f  \n9292  5d11dc13ffe23f0008604f5f  \n9293  5d11dc13ffe23f0008604f5f  \n9294  5d11dc13ffe23f0008604f5f  \n9295  5d11dc13ffe23f0008604f5f  \n\n[9296 rows x 946 columns]","text/html":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Unnamed: 0</th>\n      <th>000840e5c600de293cea57f13326f273c86c3988</th>\n      <th>00ad587dcb9c7ce3788b92e22777a22ee0efea31</th>\n      <th>00af060fc145ee6a6a50475efa57b91cbf54237f</th>\n      <th>00bcc61bdea4d52d050822d66952dd707c2fcdf3</th>\n      <th>00f0904087c01d922d6ebf3005607dfdeaf6687b</th>\n      <th>011e20ebf721a1c6dfec42e8ed1e2ac566073a2a</th>\n      <th>01d2f676abab6ec03ec5dc696bfd49d66e392ea1</th>\n      <th>01e25e4a25acd32baf5137b3031151f751fadbb4</th>\n      <th>026c2f057932da75680b21ecdbd23bf9cb9350f3</th>\n      <th>...</th>\n      <th>fdc189e5a19850397f37201f4acc378cfddcf0d6</th>\n      <th>fdc19f011587b75c11a6c30d8ca06d90107b6bde</th>\n      <th>fdf37fa13679f581bdfaae3b99e368633e0a144b</th>\n      <th>fdfe926caf5f49a88a9bcab8d025e887f422128b</th>\n      <th>fe3211f90e4ab1f500e10fe175ae6142f4b13130</th>\n      <th>ffa41c79865d7fb336f586e0dec8b080db1027fb</th>\n      <th>x</th>\n      <th>y</th>\n      <th>f</th>\n      <th>path</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>4</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>...</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>155.65668</td>\n      <td>89.405980</td>\n      <td>-1</td>\n      <td>5e158edff4c3420006d52172</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>4</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>...</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>155.65668</td>\n      <td>89.405980</td>\n      <td>-1</td>\n      <td>5e158edff4c3420006d52172</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>4</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>...</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>154.68399</td>\n      <td>81.807920</td>\n      <td>-1</td>\n      <td>5e158edff4c3420006d52172</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>4</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>...</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>154.68399</td>\n      <td>81.807920</td>\n      <td>-1</td>\n      <td>5e158edff4c3420006d52172</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>4</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>...</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>154.68399</td>\n      <td>81.807920</td>\n      <td>-1</td>\n      <td>5e158edff4c3420006d52172</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>9291</th>\n      <td>4</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-74</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>...</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>167.28722</td>\n      <td>47.034103</td>\n      <td>3</td>\n      <td>5d11dc13ffe23f0008604f5f</td>\n    </tr>\n    <tr>\n      <th>9292</th>\n      <td>4</td>\n      <td>-86</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-74</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>...</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>174.98906</td>\n      <td>48.025883</td>\n      <td>3</td>\n      <td>5d11dc13ffe23f0008604f5f</td>\n    </tr>\n    <tr>\n      <th>9293</th>\n      <td>4</td>\n      <td>-86</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-74</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>...</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>174.98906</td>\n      <td>48.025883</td>\n      <td>3</td>\n      <td>5d11dc13ffe23f0008604f5f</td>\n    </tr>\n    <tr>\n      <th>9294</th>\n      <td>4</td>\n      <td>-86</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-74</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>...</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>174.98906</td>\n      <td>48.025883</td>\n      <td>3</td>\n      <td>5d11dc13ffe23f0008604f5f</td>\n    </tr>\n    <tr>\n      <th>9295</th>\n      <td>4</td>\n      <td>-87</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-74</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>...</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>174.98906</td>\n      <td>48.025883</td>\n      <td>3</td>\n      <td>5d11dc13ffe23f0008604f5f</td>\n    </tr>\n  </tbody>\n</table>\n<p>9296 rows × 946 columns</p>\n</div>"},"metadata":{}}]},{"cell_type":"code","source":"# Import Libraries\n# ~~~~\n# Data\n# ~~~~\nbase_dir = \"../input/indoor-navigation-and-location-wifi-features/wifi_features\"\ntrain_dir = \"/train/*_train.csv\"\ntest_dir = \"/test/*_test.csv\"\n\n\n# Paths for train & test files\ntrain_paths = sorted(glob(base_dir + train_dir))\ntest_paths = sorted(glob(base_dir + test_dir))\nsample_subm = pd.read_csv('../input/indoor-location-navigation/sample_submission.csv',\n                          index_col=0)\n\nprint(\"Len Train Files: {}\".format(len(train_paths)), \"\\n\" +\n      \"Len Test Files: {}\".format(len(test_paths)))","metadata":{"execution":{"iopub.status.busy":"2023-04-30T14:48:27.628632Z","iopub.execute_input":"2023-04-30T14:48:27.629002Z","iopub.status.idle":"2023-04-30T14:48:27.68654Z","shell.execute_reply.started":"2023-04-30T14:48:27.628969Z","shell.execute_reply":"2023-04-30T14:48:27.685488Z"},"trusted":true},"execution_count":10,"outputs":[{"name":"stdout","text":"Len Train Files: 24 \nLen Test Files: 24\n","output_type":"stream"}]},{"cell_type":"code","source":"train_paths[0]","metadata":{"execution":{"iopub.status.busy":"2023-04-24T04:45:16.315027Z","iopub.execute_input":"2023-04-24T04:45:16.315392Z","iopub.status.idle":"2023-04-24T04:45:16.321555Z","shell.execute_reply.started":"2023-04-24T04:45:16.315361Z","shell.execute_reply":"2023-04-24T04:45:16.320556Z"},"trusted":true},"execution_count":25,"outputs":[{"execution_count":25,"output_type":"execute_result","data":{"text/plain":"'../input/indoor-navigation-and-location-wifi-features/wifi_features/train/5a0546857ecc773753327266_1000_train.csv'"},"metadata":{}}]},{"cell_type":"code","source":"test_paths[0]","metadata":{"execution":{"iopub.status.busy":"2023-04-24T04:45:21.302891Z","iopub.execute_input":"2023-04-24T04:45:21.303605Z","iopub.status.idle":"2023-04-24T04:45:21.311083Z","shell.execute_reply.started":"2023-04-24T04:45:21.303553Z","shell.execute_reply":"2023-04-24T04:45:21.30969Z"},"trusted":true},"execution_count":26,"outputs":[{"execution_count":26,"output_type":"execute_result","data":{"text/plain":"'../input/indoor-navigation-and-location-wifi-features/wifi_features/test/5a0546857ecc773753327266_1000_test.csv'"},"metadata":{}}]},{"cell_type":"code","source":"sample = pd.read_csv(train_paths[0])","metadata":{"execution":{"iopub.status.busy":"2023-04-24T04:42:41.356963Z","iopub.execute_input":"2023-04-24T04:42:41.357317Z","iopub.status.idle":"2023-04-24T04:42:42.460531Z","shell.execute_reply.started":"2023-04-24T04:42:41.357287Z","shell.execute_reply":"2023-04-24T04:42:42.459515Z"},"trusted":true},"execution_count":18,"outputs":[]},{"cell_type":"code","source":"train_df = sample.sample(frac=1, random_state=10)","metadata":{"execution":{"iopub.status.busy":"2023-04-24T04:42:53.936301Z","iopub.execute_input":"2023-04-24T04:42:53.936942Z","iopub.status.idle":"2023-04-24T04:42:54.003898Z","shell.execute_reply.started":"2023-04-24T04:42:53.936878Z","shell.execute_reply":"2023-04-24T04:42:54.0029Z"},"trusted":true},"execution_count":20,"outputs":[]},{"cell_type":"markdown","source":"### waypath","metadata":{}},{"cell_type":"code","source":"def visualize_trajectory(trajectory, floor_plan_filename, width_meter, height_meter, title=None, mode='lines + markers + text', show=False):\n    fig = go.Figure()\n\n    # add trajectory\n    size_list = [6] * trajectory.shape[0]\n    size_list[0] = 10\n    size_list[-1] = 10\n\n    color_list = ['rgba(4, 174, 4, 0.5)'] * trajectory.shape[0]\n    color_list[0] = 'rgba(12, 5, 235, 1)'\n    color_list[-1] = 'rgba(235, 5, 5, 1)'\n\n    position_count = {}\n    text_list = []\n    for i in range(trajectory.shape[0]):\n        if str(trajectory[i]) in position_count:\n            position_count[str(trajectory[i])] += 1\n        else:\n            position_count[str(trajectory[i])] = 0\n        text_list.append('        ' * position_count[str(trajectory[i])] + f'{i}')\n    text_list[0] = 'Start Point: 0'\n    text_list[-1] = f'End Point: {trajectory.shape[0] - 1}'\n\n    fig.add_trace(\n        go.Scattergl(\n            x=trajectory[:, 0],\n            y=trajectory[:, 1],\n            mode=mode,\n            marker=dict(size=size_list, color=color_list),\n            line=dict(shape='linear', color='rgb(100, 10, 100)', width=2, dash='dot'),\n            text=text_list,\n            textposition=\"top center\",\n            name='trajectory',\n        ))\n\n    # add floor plan\n    floor_plan = Image.open(floor_plan_filename)\n    fig.update_layout(images=[\n        go.layout.Image(\n            source=floor_plan,\n            xref=\"x\",\n            yref=\"y\",\n            x=0,\n            y=height_meter,\n            sizex=width_meter,\n            sizey=height_meter,\n            sizing=\"contain\",\n            opacity=1,\n            layer=\"below\",\n        )\n    ])\n\n    # configure\n    fig.update_xaxes(autorange=False, range=[0, width_meter])\n    fig.update_yaxes(autorange=False, range=[0, height_meter], scaleanchor=\"x\", scaleratio=1)\n    fig.update_layout(\n        title=go.layout.Title(\n            text=title or \"No title.\",\n            xref=\"paper\",\n            x=0,\n        ),\n        autosize=True,\n        width=900,\n        height=200 + 900 * height_meter / width_meter,\n        template=\"plotly_white\",\n    )\n\n#     if show:\n#         fig.show()\n\n    return fig","metadata":{"execution":{"iopub.status.busy":"2023-05-01T08:04:05.031161Z","iopub.execute_input":"2023-05-01T08:04:05.031755Z","iopub.status.idle":"2023-05-01T08:04:05.052771Z","shell.execute_reply.started":"2023-05-01T08:04:05.03171Z","shell.execute_reply":"2023-05-01T08:04:05.051403Z"},"trusted":true},"execution_count":62,"outputs":[]},{"cell_type":"code","source":"# from visualize_f import visualize_trajectory, visualize_heatmap\nbase = '../input/indoor-location-navigation'\npath = f'{base}/train/5cd56b5ae2acfd2d33b58548/1F/5cf20b20718b08000848aa00.txt'\n\n#/kaggle/input/indoor-location-navigation/train/5cd56b5ae2acfd2d33b58548/2F/5cf214b8c852a70008c01605.txt\n# Read in a sample\nexample = read_data_file(path)\n\n# ~~~~~~~~~\n\n# Returns timestamp, x, y values\ntrajectory = example.waypoint\n# Removes timestamp (we only need the coordinates)\ntrajectory = trajectory[:, 1:3]\n\n# Prepare floor_plan coresponding with our example\nsite = path.split(\"/\")[4]\nfloorNo = path.split(\"/\")[5]\nfloor_plan_filename = f'{base}/metadata/{site}/{floorNo}/floor_image.png'\n\n# Prepare width_meter & height_meter\n### (taken from the .json file)\njson_plan_filename = f'{base}/metadata/{site}/{floorNo}/floor_info.json'\nwith open(json_plan_filename) as json_file:\n    json_data = json.load(json_file)\n    \nwidth_meter = json_data[\"map_info\"][\"width\"]\nheight_meter = json_data[\"map_info\"][\"height\"]\n\n# Title\ntitle = \"Example of Waypoint\"\n\n# ~~~~~~~~~\n\n# Finally, let's plot\nvisualize_trajectory(trajectory = trajectory,\n                     floor_plan_filename = floor_plan_filename,\n                     width_meter = width_meter,\n                     height_meter = height_meter,\n                     title = title,\n)","metadata":{"execution":{"iopub.status.busy":"2023-05-01T08:04:05.16834Z","iopub.execute_input":"2023-05-01T08:04:05.168846Z","iopub.status.idle":"2023-05-01T08:04:06.576899Z","shell.execute_reply.started":"2023-05-01T08:04:05.168799Z","shell.execute_reply":"2023-05-01T08:04:06.575957Z"},"trusted":true},"execution_count":63,"outputs":[{"output_type":"display_data","data":{"text/html":"        <script type=\"text/javascript\">\n        window.PlotlyConfig = {MathJaxConfig: 'local'};\n        if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n        if (typeof require !== 'undefined') {\n        require.undef(\"plotly\");\n        requirejs.config({\n            paths: {\n                'plotly': ['https://cdn.plot.ly/plotly-latest.min']\n            }\n        });\n        require(['plotly'], function(Plotly) {\n            window._Plotly = Plotly;\n        });\n        }\n        </script>\n        "},"metadata":{}},{"output_type":"display_data","data":{"text/html":"<div>                            <div id=\"94b0a70a-73d2-4836-b519-271ddbe209cf\" class=\"plotly-graph-div\" style=\"height:734.7214412210577px; width:900px;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"94b0a70a-73d2-4836-b519-271ddbe209cf\")) {                    Plotly.newPlot(                        \"94b0a70a-73d2-4836-b519-271ddbe209cf\",                        [{\"line\": {\"color\": \"rgb(100, 10, 100)\", \"dash\": \"dot\", \"shape\": \"linear\", \"width\": 2}, \"marker\": {\"color\": [\"rgba(12, 5, 235, 1)\", \"rgba(4, 174, 4, 0.5)\", \"rgba(4, 174, 4, 0.5)\", \"rgba(4, 174, 4, 0.5)\", \"rgba(4, 174, 4, 0.5)\", \"rgba(4, 174, 4, 0.5)\", \"rgba(4, 174, 4, 0.5)\", \"rgba(235, 5, 5, 1)\"], \"size\": [10, 6, 6, 6, 6, 6, 6, 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document.getElementById('94b0a70a-73d2-4836-b519-271ddbe209cf');\nvar x = new MutationObserver(function (mutations, observer) {{\n        var display = window.getComputedStyle(gd).display;\n        if (!display || display === 'none') {{\n            console.log([gd, 'removed!']);\n            Plotly.purge(gd);\n            observer.disconnect();\n        }}\n}});\n\n// Listen for the removal of the full notebook cells\nvar notebookContainer = gd.closest('#notebook-container');\nif (notebookContainer) {{\n    x.observe(notebookContainer, {childList: true});\n}}\n\n// Listen for the clearing of the current output cell\nvar outputEl = gd.closest('.output');\nif (outputEl) {{\n    x.observe(outputEl, {childList: true});\n}}\n\n                        })                };                });            </script>        </div>"},"metadata":{}}]},{"cell_type":"code","source":"from main import calibrate_magnetic_wifi_ibeacon_to_position\nfrom main import extract_magnetic_strength\nfrom visualize_f import visualize_heatmap\n\n# Extracting the magnetic strength\nmwi_datas = calibrate_magnetic_wifi_ibeacon_to_position([path])\nmagnetic_strength = extract_magnetic_strength(mwi_datas)\n\nheat_positions = np.array(list(magnetic_strength.keys()))\nheat_values = np.array(list(magnetic_strength.values()))","metadata":{"execution":{"iopub.status.busy":"2023-04-30T17:10:09.325745Z","iopub.execute_input":"2023-04-30T17:10:09.32626Z","iopub.status.idle":"2023-04-30T17:10:10.126984Z","shell.execute_reply.started":"2023-04-30T17:10:09.326217Z","shell.execute_reply":"2023-04-30T17:10:10.125682Z"},"trusted":true},"execution_count":59,"outputs":[]},{"cell_type":"code","source":"# GitHub Libraries\nfrom main import extract_wifi_rssi, extract_wifi_count\n\n# Get WiFi data\nwifi_rssi = extract_wifi_rssi(mwi_datas)\nprint(f'This floor has {len(wifi_rssi.keys())} wifi aps (access points).')\n\nwifi_counts = extract_wifi_count(mwi_datas)\nheat_positions = np.array(list(wifi_counts.keys()))\nheat_values = np.array(list(wifi_counts.values()))\n# filter out positions that no wifi detected\nmask = heat_values != 0\nheat_positions = heat_positions[mask]\nheat_values = heat_values[mask]\n\n# The heatmap\nvisualize_heatmap(heat_positions, \n                  heat_values, \n                  floor_plan_filename, \n                  width_meter, \n                  height_meter, \n                  colorbar_title='count', \n                  title=f'WiFi Count',\n                  g_size=755,\n                  colorscale='temps')","metadata":{"execution":{"iopub.status.busy":"2023-04-30T17:10:10.129534Z","iopub.execute_input":"2023-04-30T17:10:10.130035Z","iopub.status.idle":"2023-04-30T17:10:10.267498Z","shell.execute_reply.started":"2023-04-30T17:10:10.129982Z","shell.execute_reply":"2023-04-30T17:10:10.266308Z"},"trusted":true},"execution_count":60,"outputs":[{"name":"stdout","text":"This floor has 95 wifi aps (access points).\n","output_type":"stream"},{"output_type":"display_data","data":{"text/html":"<div>                            <div id=\"1d3c02b2-2dc3-4a65-91d7-f822510fd7e2\" class=\"plotly-graph-div\" style=\"height:648.5718756909985px; width:755px;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"1d3c02b2-2dc3-4a65-91d7-f822510fd7e2\")) {                    Plotly.newPlot(                        \"1d3c02b2-2dc3-4a65-91d7-f822510fd7e2\",                        [{\"marker\": {\"color\": [63, 59, 59, 57, 56, 55, 54, 55, 56, 50, 51, 53, 56, 58, 58, 63, 66, 66, 69, 75, 79, 79, 81, 83, 83, 84, 84, 84, 85, 85, 85, 86], \"colorbar\": {\"title\": {\"text\": \"count\"}}, \"colorscale\": [[0.0, \"rgb(0, 147, 146)\"], [0.16666666666666666, \"rgb(57, 177, 133)\"], [0.3333333333333333, \"rgb(156, 203, 134)\"], [0.5, 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document.getElementById('1d3c02b2-2dc3-4a65-91d7-f822510fd7e2');\nvar x = new MutationObserver(function (mutations, observer) {{\n        var display = window.getComputedStyle(gd).display;\n        if (!display || display === 'none') {{\n            console.log([gd, 'removed!']);\n            Plotly.purge(gd);\n            observer.disconnect();\n        }}\n}});\n\n// Listen for the removal of the full notebook cells\nvar notebookContainer = gd.closest('#notebook-container');\nif (notebookContainer) {{\n    x.observe(notebookContainer, {childList: true});\n}}\n\n// Listen for the clearing of the current output cell\nvar outputEl = gd.closest('.output');\nif (outputEl) {{\n    x.observe(outputEl, {childList: true});\n}}\n\n                        })                };                });            </script>        </div>"},"metadata":{}}]},{"cell_type":"code","source":"from main import extract_ibeacon_rssi\n\n# Getting the iBeacon data\nibeacon_rssi = extract_ibeacon_rssi(mwi_datas)\nprint(f'This floor has {len(ibeacon_rssi.keys())} ibeacons.')\nibeacon_ummids = list(ibeacon_rssi.keys())\ntarget_ibeacon = ibeacon_ummids[0]\nheat_positions = np.array(list(ibeacon_rssi[target_ibeacon].keys()))\nheat_values = np.array(list(ibeacon_rssi[target_ibeacon].values()))[:, 0]\n\n# The heatmap\nvisualize_heatmap(heat_positions, \n                  heat_values, \n                  floor_plan_filename, \n                  width_meter, \n                  height_meter, \n                  colorbar_title='dBm', \n                  title='iBeacon RSSE',\n                  colorscale='temps')","metadata":{"execution":{"iopub.status.busy":"2023-04-30T17:10:10.269105Z","iopub.execute_input":"2023-04-30T17:10:10.269724Z","iopub.status.idle":"2023-04-30T17:10:10.394732Z","shell.execute_reply.started":"2023-04-30T17:10:10.269671Z","shell.execute_reply":"2023-04-30T17:10:10.393616Z"},"trusted":true},"execution_count":61,"outputs":[{"name":"stdout","text":"This floor has 36 ibeacons.\n","output_type":"stream"},{"output_type":"display_data","data":{"text/html":"<div>                            <div id=\"7db5f493-1757-40ad-a3b4-975fda4d8048\" class=\"plotly-graph-div\" style=\"height:615.8944542830449px; width:700px;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"7db5f493-1757-40ad-a3b4-975fda4d8048\")) {                    Plotly.newPlot(                        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6dKv5laNG8+C0+aRlxOPjqq6jtvtGtKgDrsNh91DhseTWBcIhdi1L0MHvg6M6vkpAwqBPCCbuJfjBGzEA6GOnp9soBQYf/i5Cioq+eTPfoumyEihINFgwAz7fHrY1y1LsUgkGgh1RcP+5o6Gus2BtrZtxCMsO4H2IV2cxamOMzM3t8cpHzgOhx2Hww4cffLPNE1kJe68x2QZRVGQZFkIh8K2UDhoi0kxl6Jq2bpploMwdds7KzesWP7nWUO/HAsLC7AckFRTXT52vK2yqjLddhw33C4XlaVlVPbUvGiaji8QwOv30dTaytadO7HZbGRlZJCfl0d1RSU52VkDHj8Si9HV2gywOjVXYGGREtx2l+uJM6647rIzrrqeyRPGM7G2FkE4ODWhqRoe18Cd8WMhKwp2u10G/jrAQ0YBk4ExPb9XAFUcdFhygIyMnFy3x+0Sz150PrIsI8myICuyPRyN2EOBYGYkFi1RNW2KYXKxgYkaiyGFQ0R83YS83UTCAcOVlWW07twRkqORkBQJd0UCvgZfc/MOTdMO1LFsA1qSdjMsTmScnpwcXC5nSgYXBAG3y4Xb5SI3++it8le++y4tu7ZPSYkhFhanGJYDklpuHTtjFsX5qREgPBGw220J1fZJtbWYpkkgFMLr99HZ1c3baz4EwONykZuTQ0lREVWlpYmi9MMJhkN0NNYBrD1+V2FhMSw+VjN95gOLl37VVVE1mvlzT8Pj6eto6IZBRj/rh4qqKoAQGcQhTT0/R+Xm//n5/+Tk5v84JytTIOvos8u6rhOTJWQ5PrssKzL797eLgXBIPH3RRfmKouZruj5ax5wjiDYMVUWVJZRolFgoRCwcIBIMmLFgWJflmKZKsagiyT4lEu6KBPz7A51tG4NdXeuBRmArVv7+yYjd5cnE6UiNAzIYNE1F13XrM2ZhkQQsBySF2B2OxTklZeQeQe37VEQQhIRqe+3oauBg2lant5ude/eyYesWHA4nmR4PpUVFjKmqxOmMp6Z4u7yEvN0G1ouGxcinKCs//5WFN9wye9o5i5g9YybVFRX97mgYBphmUrWCZEXFMHR/0gbswcAoH+hsdDzamUnWITVwsqQgiCIL553WZ3/d0FFVDUXVkGX5QA6/oKqaPRKO2MPhkFtR5AJF1Wp1w8AQhGtMwFAVNFlGlmIokTCxSNSMhkO6EotqSjQaVqRYlyLFvHJMasnIzWrc9PbKx2Ne70bi9S4WIxlBsIlOJy5n+l9XVF1D19VYuu2wsDgZSP9f9ElMxcTJs+yiiMM+MNG+U5XD07ZkVcHn89Pp89Ha1sbOfXtx2B243S6CkQiqFAW4G/g/4ornFhYjjR9NOP3MH16y5MviqFGjmDtj5lFz2BVNQ7T3H/UbKoqqout60usuBFModDocQy5rk1UVh6v/e2ETbdhcNtwuF8eKrhxA0zVURUPRVGRZOdA9TFA11R4ORezRaMQtSVKRoqpopg6CjYXX3/otXZGQo1HkSJhYKGxGAwE9FPApmiSFFUX2SuFQe6i7a193Y/02f1fXWmANVmvj4447I0MUMBHF9H+P6rqBrmiBdNthYXEyYDkgqUMsHlWdXVI8MME+i4O4HE7KSkooK4mLNxqGji8QxOvzEQxFuOJrd4oXfnrpFxu2bvpi/fbNxv5dO9q8zU2vAQ8DK9JqvMWpzrSCisqXLvz00qoxM2Zy5mnzKMjLO+ZBmqohklwHRJJlDMHsTOqgAAiFw0mHUVQFzxCL7fvDbrNj99jx4I6Xzh8FSZZ59Z13ufKCRT0tjrUDXZIESZbtkiTZQ6FQRiwaK4nJ8mRN084zBAHTBF2VkSMR5HCIaDhiRkIBXQoGlEg4HDM11R8LBRuDne172/bt2RwLhzcCHwHhpF3oKYonO1cUzHRbEccwDXRF9qbbDguLkwHLAUkdl46ZPpvy0r5dnywGhyjaKMzPR9U1nE4Hl557IZFYlM4FC2hubhK9AX+Fpmifatu7+1N7NnxkdjbsCzZs3/o+uv4g8Ajx1qIWFqlEtNls98y8cPEXzvn4p5hYO44pEycgCgNzKlRNxSYmt1eeoqgmptmW1EEBm91W5BhkR6JD0TQNpzM9ukiqpiGKIqIgJgqPj9UlCQ6mhknxonsUVRNkWbZHohF7OBTMiMVihbKq1uqmuchExDQNNClGNBxCDoeIBANmyOvVFFlSosFgNBoM+BVZbtWi4d1127duQFWbgXUMoAbnFEP0ZGfjsKU/+gFgmqCpyv5022FhcTJgOSCp4/qK8RMGNPtpMTDaOrrI72lZmunJILMqg5qqKgAisSjeuafRevY5QkdXV66mapd0NTVcsmfdmn8179oead6+9SPTNF8A/oYluGaRXC6onDD56UuWfDmrsmYMC+adTnbm4HR/VFVDSPJLlqTKCNiakzooIIq2fKdj6F8dqqal7YVSVVXEITh6vVLDBnSegxoUPY6LIMmyIxKOOEKhYKakyMWKqo7XTfNcBBFDUVCkKLFQkFgoSMjnM6VIRJPCIVkKhSKSFAtGur317fV718VCoUbiHcIagfWDvpgTiyJPdi7OFHXAGiwmAnI0uifddlhYnAxYDkiKyCstX2R3e8jMHLiYmMXR8QcDjOpHRwRIiFONrohvP1DY3rpgIe0d7Zmqrp/T3dp8zt71H/2ybe9euX7rhk1qLPY4cB+WoJrF0MhwZ2U9e8aV110w99IrmTV1GjWjRw9J80fVVWxH6Pw2VGRFRRfFpM+oi5DlsA/9q0MzdIYTQRkOqqZhOw61BAPVoIAjF95HIlFHOBx2RKORLFlWSnXDGG+I4kWmYcbTwcJhogE/kVAAf2eHGQ0EdE3VZDkcDIR83d2xUKCzq6F+o6ZpuznosGwEjNRefVIpysjJGZDw4HFBEAh3d21LtxkWFicDlgOSIirGTazK8bhHvADhiURUlsnNPUaSdw99CtsVBV8gQPuChbS07nfJqjov2NUxb/e6Nb9s2b5Nbdq+eaccjb4K/BmoS91VWJwkfHHMzNl/vvSLX7ePqhrNvDlzcDmHPkurqhr2JEcFFEUWTFNL+mfZFAzPYEXhDsXQDYbjwAwHVVMRkpzqNlwGW3ivG3oiFewQx0UIBoP2cDhkl2QpU9W0Cs0wQLQtMrRDVL79fsJ+H0Gf11BiMSMWCcekUCggRyP+7pbGpkBnZxOwl7hwZCOwmfSmsBZ5cnLIHGBDglRimAYmEA2FtqbbFguLkwHLAUkNlWVja+2VlVXptuOkwTAMNFUhN3toLY1dTidlxcWUFRczc8pUNF3D5w/SfvoZtLS0OKKKOi3q6562b9P6O1p2bdcbN2+qD/m8zwLLgR1JvRiLE5lR2UVFL59386cnT5q/kPmnnUZJYeGwB407IMmNCui6TqaesTepgwKYon04EQzdMLDb0xQBUbUjagydKNhEWyLieywM0zi82D7+I0liKBQSY9FYdkyWs1VNrTIRppmCkEgHiwYDBLu6CPl9RAN+IxoM6KokKZGgPxDu7t7va2tt1mS5nd4OS7K1WAqyCwrxeNLvgGiajqlpEL9WCwuLYWI5IKnhEzUzZ1N4CgsQJpu2ri5cDlfSWhrbbfaEQOK0iZPQdR1/KEjX6fNpam60hWKxWjkcvqN+84Y79m1abzTv3NYa6uxcCdwDvJsUIyxONH465axzv3/x574k1NTUMHPK5KTpdqiaisORvBdjw9DBhP/95OKkF8yahm4bTgTDNAyGU0MyHFRVw5FErZWRThKK7VE1hUgkKgYDfjEWizlkVc3UTbPCRJhrmma82D4UJBYMEPR24WvbjyJJpqrIWiwYkEM+X0SJRDo6W5v2ousdQAfxl/itPf8erbVxQW5hMa40pewdiq7pGLoO4E+zKRYWJwWnzpP4OGJ3OC7LKykjPzc9nV5ORto7u8jPS52go81mozAvn8K8fCbWjk0otnedNo/m5mbRHw5XqVLsE03bt36ifstGs2n71q6upoaXgceB5zix8qotBkleUcmWq+747tSqceM5c97p5GYPLBVwoCiqmlSlZ0VREUQxJc1LdcMQHcOIYBimmbYULEVT01Z/ciKQhGJ7JFkmEo4IoVDQISmyQ1HVLMMwS01RnG6oCqokEQn4iPh9BLq6iAYDxEIhIxYKqooUjYW6u33drc2tqiTtB8qy8gtGRBG6puuYmp5uMywsThosByQFVEyYNNthE7Gn6Uv2ZCQQDDC6svK4ne9QxfZxNTWYpkkoEqX7tHk0NzcJXn+gWFPVT7Ts2vGJPes+NNvr9gZa9+35wGr9e3JSWF0ztqp2HIsXnY8gJL+GQFEUspKY5y7Huz0l/W1p2bJl9rBpYh9GJNIwDIbjwAwHWVF6isMtksGgiu11HVlREj+KqsadlUiYcCgsRqWYS1EUl2GSZwrCGEPXUWNRnBmZIyICosVV0NNthoXFSYP1JE4+YvHomuziQkuAMJlEJYncnOTOOg8GQRDIycokJyuzb+vf8xYJHV3ePE1Ve7X+bd25/V1d158F/oklSHZC487IcridrpQ4HxB/MS5yJS9lU1FUBJOkvy2Fx84ZJYoM+T4YxFOwhuPADAdFUcnK8KTl3Kc6NpuNDI+HDM/A7r+iqMiqgqIo5GRlpdi6Y6PrBiaYdz749JTf3nr1DgTBinpbWAwDywFJPotrps+ivNwSIEwWmqahaTp52SMrpe1IrX9b5p9JR2dHpqrrl3Q1N16y68P3/9Jet1dq3rltsypJVuvfExCnx21zp/DFVdV03MPoonU4sqogCkIkaQP2oNu10Q6Hy4ShNfhTJAlRFFPmyB3z/KqC05W6VE6L5OF0OnA6HTBITZ1UIYiQk1cgaIa29c6HnoJ/Po6ua6auKIaqqrKmKEHd0Nptor0+Mz9/u93u2Itu3yWI7h2/+dQlHem238JipGE5IMnn+opxE8jPtb7kkkVbVxdutxPbCFHDPRJHav3bdubZtLa2umVdmxfsPNj6t3nHlo1SJLIC+AdW698RjdPjETIzUvcipGoKblfyHBxVVdEMAkkbsAebYVYOJ30qKsUQ0xT9ANBUFc8A6xssLA6lMC+fyy+6MLHcU/8iqJpik2Q5Q5LlDFmSy8Lh8MxoNHq1pCqoqophRvjmQ08h6Dq6rpmaIhuGrsmxqBTWVWW/aLPXZeXl7XFlZdQZCFsjoc41y2+77WiF+RYWJwWWA5Jk8kpKz3N4PGRljBDhpJOAjs5OCnLz0m3GoDm09e+sqf22/j0t3N112q417/9g/97desv2rXVhv+854mrtu9Jtv0WCksycfDzu1EVANF3H407ei7GiKmim1p60AXswBFuFcxi1bTFJxnEchACPhKLruJ3utJ3f4uRhiGKTgizLtpgsZ6iakhGJREviDksESZbRgezMEr754JOYmoqmqKYuS7okx9RYOBIwDaMdUWwXBXF7ydjxK912scG9c/3mZcuWWTWHFicclgOSZMrHTRyd7fGkLcXgZCQQDFI9alS6zRg2R2r9e/oZZ9LY1GCLSMo4KRy8o27T+jvqNm8wWnZurwt2drwOPAC8l277T2HGZBXkx9NBhsmO995i9NSZZBziUHc21hNtrEOfMwfcA3s5funu33Ppl+5ILGuKgqbIuLPidVKSpCBqZr9pH5///Oer//73vzcMxX7BFMqGI0IoKXLaWvAC6LqGK4mOnoXFQBiG2KSgqppdkmW7JMueSDhSFg6HkGTpYlXTvqHqGsr4mdzxwKMYqoaqKqYmSVokFJDkmBQ2dK1NEMTddqdtX8nYyWuy7dmrU9Ga28JiKFgOSHIpLx1ba6+sqEi3HScVkqKQlzOy6j+SweGtfw3DwB8M0Dl7Di2trWIwEq2NhQK1dRvXL33/6ccDvvbWvHTbfIoyOjMvLymtYze9+Qpj55zea1173R7U/U2888gD2ESRi5d8DYCNr73E9vfexuF2oykKpTVjOe8Tnwegu7Wl1xgtu7ax8bUVieWYJKFGQlcsXbo0aJpm86H7CvHi2WlDsd8UzWKnwzHk2RVFVnAksd3wYNF1g8wMKwJiMbIZqtikLMtCTJYdqqY4JEnKDoVC5bFobHZMltE0DVmI8s0Hn8LUVFRJQpclQ5JiWtjvj8ixSEDTDZ/dbm+0221rS0fVvNZVlrvusZtuSqawpIVFAssBSS631s6YQ2HB8JWRLeJouoaqa2ntgHW8EEWRgrx8CvLymVhbi2ma+AIB3s7NY9UTDyc9ncZiwFRlZOUMS6dj69tvUL95A5qi8PbD/0dOUQlVU6bRunM7XS1NmIpMQVklbft2sfbFp5lxwWIUWaKwsoqLPv8V1q14jq6m+oMDHuYCVE+bRfW0WYnllaveNZtefEIArr733nvfHLLhhyFiFLqGEQmSVC1tbXD1uIgcdtH62rM4eeglNjnA6Mohmi2iompOWZadkWgkPxwK1kSi0dmqpl2tGcZPRysid/zzMQxFQVEUU41FTDkaVUP+QMjQ1bAixdrkaLTB7szYlJFb+PQzv1227ThcssVJgvUkTiJ2l+uy3PJy8nOsAvRk0dregdvlxpbGvPF0IQgChmkQ6mwn2NX5RLrtOYWpdGVmDSsFa+o55xMJ+PBkZzP7osvIL6/E29yIJysHm8MJgkhWfgHj5s4H4i8VAGG/j61vv4G3pRGAZ//4C3RVxTQMnv3DLzANg+rps5h10WU0bF7PtlUrAfB1dgoIgmkaxv8uWbKk98VUVp491JxxwRQLHcPo1qWpMi57eiIgiqoh2pKnNm9hcSIyGLFJwzBQVBVZUZAUWVBkVVBUxRWNRV3hcLgoFpNqJFmar2r6x0xB+Pk3//U4uqKgSBKaLJvRUFAPdXtlWYqFDVX1mobps3sy/E3bN78W7Gp7rmnLlr3H4ZItRiiWA5JEKsaOn2sXxUHN8G168xVadm7ts37RJ76QyOc+lPpN69n+3so+6xdcezN5peXUb1pP/aZ1iVSNgR4b9Hay64NVXPjZL/XZvuqxh8gvqyAjN++Y597+3komzj+bsbNOS2x/44HlTDnrXMpqJ/Y59li0d3VRmJc36ONOFtraO9jx4WqAu9NtyylMqcPlHrZ4Xuuu7ZSOHcdHK57lws9+ifefeRx3ZiaxYABT1/C376e9bi9n3fQJ7D0v+Zqi4G/fjxQJ4/JkcNU3vgfAQ//zLa66/Xu8//RjdLfGM6z2792Dw+Vm/jUf45k//RJbUdFPbYHAvxRFWQn83ul0PiPL8ratW7cO+S3cZrcVOYdxHxRNIzszPZoOqqYlHDsLC4tjI4oHoyu5HDsLQdM1JFlBURUUWRFkRbFLimIPh8KZ4XCoNBSNoWMwdcHCyxHF3+uahq7IKNEIkhQ1pVBECwd8ihKLRXVd7dZluUmKSPsioa6trbt2fdjd0vL+cbhsi+OE5YAkD7Gouia7uGBwYmJOlxuX52DYtLu1GSkawXmElp8dDfvoam6icvykXusFUUxsb9m1Y9DH5pdWsH/PLhq2bKR62szEtmjAz74Na1l4w60DOndXUyP+jsd7OSCte3ZSUjN2SA5IIBSidvToQR93stDQ1ETz1q0S0JRuW05him1OF07n0B+XhqYRCfjpbm0hFg7x3hMPo8QizLzgEvY3NhDbtI6FN97K07/9GZoa1w8UBIG8klIW3nhrrxQsRYodUYXDZneQlV+AaQoYXd6rTYH5QJFhGF133XVX3dKlS80hXwQgIGYPxxHTVR17mlTQNU1BtJqDWFikDLvNTlaGHei/dmX91m2oqsLps2YBvYrtUVVNUFTNIcuyIxKNZIZDweJYLDZRVlV008REwDRNDE1FicaQImFTioUNKRJVYqFQTIpGgphmG5gNkUBg0561q9/obmlZC1gdwkYolgOSPC4eM3WmUF4+uAL0SWeew6Qzz0ksP/rzH1A0qhpRPPJMnSjaOP/TS4dk5NGOzcjJZevbr/dyQNa98gKizc7Y2afR1dxwzHOLdjuGqrHp9RXMuGDxkGw8FEVRyDtFNVUURUXRVBq3bfwg3bacyngys4oRGHYa4EWf+xL1mzfgbWmidu7ptNfv5aMXn0FRZLRYjJf+9nsigYPSHaIo0tlYzxO/+jGqJFHQ82zpbmnEeZSWwIZpgAAa5v+5BHGTaZozj7jzIBEwM4dTw6EaetpqQOIREMsBsbBIF7Iqk3FIp7/BFNubxN8HFEVFVmUURRUkWbYpquqJSTFPKBgqiMWiNaqmzddN82Nn33QrhqqgyzKKIiOFI2bY7zUiwZCiKXJYjUWDsVCkwzC0vZ6c3Ia3n3nsKaLRrYCUujtgcSiWA5I8ri+fMGlYehXe1mbkaIQZiy5JnlWDYNzcM9i88lUMTUPs6fjTsmMrFeMmDHgMURConjmbLe+8wbRFFx/VkToWmqag6Rq52elJ2Ug3Hd1e2vbuRlPVB9Jty6lMRl5+kWgawxpDtNspqamlq6UZf1sr3qZGTN1gzhXX0Fi/l9btW7n0i3fw9G9/ljjGBIqqRnPxkq/1ioDs/HA1+UeZ6FCUeATFZhhFqq6PEkXRZprDCnwcapNzON3AdN1ImwOiqFpaRRAtLE51NEXDmT20GjCBuLaWy+kkewDaK6Zp9tSvqCiqjKwogiwrNkVVPaFg0BOJRoolSapVNGOBIcC8y6/+vnYgHSwcJhYOGoEurx4NBRRFjoWlUKg9Ggzu97fu393esHc7sBVYA1iikUPEckCSRF5J2SJXRgZZmUMXINzwygvYXS4qxh89Vck0dF762+97rbtk6TcG9LJ/tGOnnnMBm1e+ypZ33mDGoovpbKxDkWLMuPDSQZ17/jU3UbdpHRteeZ45i686pk1Hormtgwy3+5TN225uaWZnvP7joXTbcirjycnJHu7M+e4177H+lRcxTROb3Y4rMxPRbmPdimeRZAlNlvpEQITD8qzkaBRvSzP7d+/kvFs/c8RzKaoa915gvs1mG2uaZtJUUQ1Mm2MYOiC6oeOwpScFS1XVU/ZZYmExEtA0DdcwmlgMBkEQEg7L0cQiW9vb2bxzB5ecc+4BdXtUTUGSZVGSZTESiTqCAX9mLBYrlVV1hmYYl5gIGD2tjKNBP2Gfj0BnhxENhVRVluVY0B8OB/xtSjRc37xj+zZgP9ACrO351wLLAUka5bUTqjPdrmEJELbt20319Nm91r1y31/QtXgb7rmLrwbi7xaH1o0MhqMda3c6yS+vYs/a95mx6GI2vr4Cd2YWhRVVAzr+AKLdzri589n+3jvMuvCyIdkJ0OH1UpCXP+TjT3TaO7to2bmtE7D6sKcRV2aWe7gaIOXjJlFSU0vLrh207dlJ7ZzT2fLWa8y+5Ar27d6Nd9+uXhGQkLeLzsY6uve38tRvfoppmniysnnviYfwZGUn6qnMfiIziqIApgn8+J577nlv6dKle4Zl/CGYJuJwHBDTMLCnKwVL1xiOiruFhcXwUA09rUKk/SFJMs6eznwDVbc3TANZVpBkGVlRkBWFmCyLwUDAFQmHXZIs5yiaVmEKzDFM8zotFsPmcOJtbiDQ2Umgq8OUImFTiUaVWCgciYaCoUi3t9PbsX8Xul7HQYelEVif4luQNkbWJ+HEpaSkttZeUVE55AH2fPQBhq4z5+LLe613ejwYWvwL39Yzc5CqGhCAaedewNsP/x/RgJ/2ur2Mn7dgUMcfYN7l17Dnow9Y++LTQ7ITIBQJM666ZsjHn8iEwhGUWIy2fXtfSrctpzouT4bD5RyeenZWfrw5RcuObRxIhzJNE11VURUFTBNvcyNyNIrD5STY1UluSTkzL7iEkjHjEUWRdx97iKatG7nmmz8AYMU9f6S7tZnJZ54bH8/Qadu3h+5//BXTNBAE4YElS5aoQJ4gCD9ZsmTJf5umOSwVPtPQheG8QBimmRRBx6GgKEra0r8sLCxANwwcaWrDfSQkVcE+yEkVURDxuN143Md+nOq6jqTIvL5qFRdfcXVPapgiRGMxIRQMuqOxmFvTtELdNGtMxHm6qqBJMWLhICFvNxG/D39XhxkNBg05GtFi4VA0EvR7Qx0dHbFwqB2oB/Zw0GHZzAlSeG89jZPDJ2tnzKa4cOgChNtXrSQrv4CMw2pIzrv1c72W936U2nrk6mkzsdkdvHb/3zB0nZlDLCQX7XYmn3k22997u2cydvDIsnxSKqAPhI6uLvZtWAtwb7ptOdVxuT029wC+aAaCw+3G0/OZzistx5WRiejxkFFYTHvdXgqrRlFYFW9CUTlxcuI4wzBwulxc8bXvJI4fO3sekxacQ82MeNQ0p6iEiWcsJH/qLLbt2lX3i5uvGn/4+ZcuXfrh1KlTjccee2zQti+757miCMaw0pgMw8A5jAjKcJAVleG0ELawsBgehmHgGIaeUiqQVSWlURmbzUaG24NhmIyuqDhmqvxhaWDxKIskC+Fw2BaNRm2SIrsUVc03TMaZghAXiZSiRIMBgl1dBLu9RHw+MxYO6ZoUU0MBfyTS7fX6O9v3a7LcAjQTd1TqgY+AtIkcWw5IErDZ7ZfllVcMWYBQkaL429uYfVj040j0V4cx84LLErUj/W0/75bPD+hYgIrxE2navoWcwmJch7UDHsjxB5h18RXsWP0uhqkP6LoORVFUNM0gO3NoqWYnOvUNdezdtF4H3k23Lac6zowMIXMACsMDYfy8BYmo4oHJhX3+EONmn051ZQVTzl7U73GiKHL6VTf0Wjfh9DN7LU8953wAdu3bh66bHf2Ns3z58tOHanvIJVQ7htFUAuJRH7stPYXgiqqcss8TC4uRQHwCYmS9dqqKgivFkyKKpmITxQHV6Q40DQz66K70CEYqhENhIRwO2WOyZFdV1aObZhGCOFHXVNRohFg4THdrK0//4Rcrgf6/dI4DI+uTcIJSMXHyXLsgDDm8H+rqonLiFKYsPO/Y5xo/iXC3t8/6A3nVR9ouiMIxjz3AnMVXYeg6E85YOOhz6z0aBhB/aZp/7U3Ub1xHcfWYY17bobS07yczwzOsLlonKoZhEIxKNG/bujPdtlhQkJGTg8edtDruPqiaisc9vBSvQ5EUGR0j6bNahsOosjkdJkdUITk6kiIjCKTtb1pVVVwDUH+2sLBIDYahJ+otRgqKqpGZkbrnO4CqaAjDbOPeH8fSXTmUntQvZFklHI2weu1aSGP0AywHJBmIRVWjc4qGkX5VWDWa8z+1ZED7Vk2aStWkqUPafqxjD5BTVNxvncdQzj121mm9RAkHSpfXd8oWoHf7/QQ72wh1dw0+T8Yi2dRm5xemdNZOUZPbGUaRVVMQxaR/sYiCWumyDz2CIMUkbGksAlcVFbdjZL38WFicKpimiWGY2EdYK2xN01LuFCmqgi3NGkTxrmAuXE4Xok1AkyWIp2OljVNvejn5XDBm+kyhYpAChBZHJxgOU5ifl24z0kJLW9uB9rt3p9sWC6oz8/JSmres6XpSC7NjsoxuGK1JG/AAplg+nCLumCQz3BSu4aAaelIjTRYWFgNHkmXsNtuwOoWmAk1PvTiqqqmItpHzuq2qGmosBtCQTjusCMjwuaFi/CTyhyFAaNEXSVHIyz41C9Cbm5to2rEtSprDoxYAVGVk56R0hszQ9aQWZiuagkMUm5I2YA+CKRQPJ4Kw58N3MZ29Fdy9rc00bdvMuLln4M7Mwj6ASNCTv/4J1337h4llRYrib9t/zONkbyeRzjYK8wtOydROC4t0EpMl7COwDbah6ym3S1G0EaVBpGgqUiQMsC+ddoy8T8MJRk5R8SJnRibZwxAgtOiNJCnouk52kgp/TyQUVUXWNJp3bH0v3bZYAFDpysjEmaIISDwtwcCWxMJsWVURROqSNmAPJkax3WEf8vRl88a1lJ3Tu6teoKONhs3r8be14mtr5dpv/Q8A2955kw2vv4QrIxNdVcguKOLSL90BQDQY6DWGv62NjW+8jM128Ousu7UZXdcpHlWdWCd5vez0tlE1dhyiMzldzSwsLAZGTJLS1gHvaOimmXK7FE1BtI8cB0RVVaKhEMCudNphOSDDpGL8xJrhChBa9KalvY3szMxT8p62d3Wxf/cuNFl+IN22WABQ6vC4UyZgp2k6YpLTEnRVFfSInvSZLcEmFLiHUKuyb92H7Hj/XQxFwbfhA1Z791M9YxZ169YS8XcjhcMUVo5CFG2seuwhZl98OaZpkltcyuVfuZMd773F7rUH248ffq9KasZy0ee+nFhWZInHfv4/nHvLZxI1aZqm8+Kbb3DJRRcN8eotLCyGQywmpU0D6GiYhpHyznyqpqc1/fRwVFUjGvAByZ+oGgwj79NwYlFSMqbWUTUMAUKLvnT6uikYRv3HjtXv0LZ3F+d9It56ePea1XTU72Phjbf23u+9t9C1gbUIrhg/kfzy+P9z2NfNptdXcOYNtyS2H54WMlSampvY8eF7JvDIsAezSAZFNoeL4ah/Hw21pz1jsjAMA8OE337+uia+kLRhARBFW9FQVMzHzjmdgLeLqKJSPGU6Cy5cTMjbRfm4iXhbGgl2e6kYP5mK8XHdE6cnHp2IBHysffFpfPtbAHjxr79DkWKYhsGzf/gFuqZSWlPLmTfcQuO2TWx64xVsdhsRvx9BgM0rX2HDay/FHRZBIBwIED3jDDJOUW0hC4t0IilqUpttJAvDJGXP9wNIkoRzBF27oiUiIGkVLBw5LtmJya21M2dTWFiQbjtOKkLhCAV5eUM+fsNrL1I1edrB5VdfRJUl9q1fm/hRpCgdDXX42/cnfvau/5BNb77ca52/fT9dzQ2Efb7EeFvffgNva+8U+1goOGR7D2ACHV4vrbu2d3CCKJme7LgzM4sFhKSmSB2KqmmISRxbUVVEm2giCEbSBu3BJop5ziHWgDRv24w9O5v2jR8B8O5j/2LXh6vw7W9BU2T279nJ+ldfwGa3YT9CetRlX/4m13zz+yAIXHX796idPY9AV7xMyr+/FYfTyaVfvAO708nCG27h0i/egSCI1EyfzdmfWoohx1Dl2NAu3sLCYlgosozTNfJSH03DSHlkRlGUEeWAxKJRpGg06d8Rg8WKgAwDm91+WV5Z5ZAFCC36R1aHroC+5vknMfV4WsvTv/0ZE+afjRQJk5GTS9P2zTTv2MrY2adRUjOWcz7+mV7HPvHLZUxeeB6zLrz0qOdo2r6ZeZdfw1sP/x/drc3YbPbErKxh6Lg8GYl89cEQCoeRo1E66uueH/TBFikhK6+wGDN1z2lF1ZIa/ldUFZHkOx89ZA3li9owDILeTuyyjBGL8sYDy9FVlYnzz8LpyWTT6ytYeOOtPPfnX6NIEhBPs8rMzee0y67pk4I1EDa8+hLbVq0k2OOgqIfoE1lYWBx/FFUlf4TVysYjxkbKu2DJikrmCLr2aCSKKktpfyhaDsgwKK+deJrDZhuRhVUnKjFJwtQNsoYgDBTs6mT32vcxTRNRtCEIIhtfe4ncklIEUUQQBIpH17Dg2psTxxiGweonHkZTFWKhIOHuLlY99lBie/X0Wb20TXaveQ9dU6mePpvq6bMT6x/60be56vbvDfGq47R1drJv/VqAe4Y1kEXS8ORkZ9vE1NUiaaqKI5kOiKIiIKTqi8XlsA/tWXf1Hf/N6y89h9HeyulX3cBb/76f7e+9jc3uIOz38cYDy4n4unsd42/fzxO/+jGqLJGZm59YZx9AFGbi/IVUTZ7Om/+6F4hHmiwsLNKHqms4RpgGiKwqANhSIBLY6zyKjMs5clqAS7KELstyuu2wHJBhUFJTk1tYcGqK5aWKlv1tZGcNrQD9tfvvZtq5F7L1rdcRRBFNVaiZMZvZF13GM7//fxi6xmVfubPPcfWb1rPgupsZNXl6r/U733+Huo0fJRwQb3MjHz77JJ7sHAzDoH7juoM7G+YB5wGI14y4s7IHZX99Qz11m9ZrwJpBHWiRMpwZmR6HLXWPSVXXkirOp6gKgiBEkzbgIZim6RjKTKEoimTlFyA6XGi6xq4PVqHJMhMXnI0nO4dNr6/g/E8v5bk///rQg8gpKuHKr3+nVwRk+6q3yCstO+Y5u5qb0DUdJd7rHlXVEIYm4G5hYZEENF3DMcKEQGMxOeXOB8SL0D2ukeOAKLKCLEnhdNthOSBD54LqqdOFSkuAMKl0+ropyh+aU3f5V+7ElZHJ1rdex9A1bA4HC679GN7mRkzTxDRBjoShuDRxjCiKIMDY2X3V2hu3bUr8rikKr/z9L4yaMo2upkYwDOo3rcPpyUAQBExM9u/ZCYASi5JbUjYoB8QwdCKSRNP2LduHdPEWKcHlyXA4Xan70lRVNan5x7Kqopvm8AuS+sEwsA3F1rqNH/H+M49hmGC32ymrHU/bvt3seO8tEARiwQAv/e33hLu7EseIh01AKLEorbt30rB1I2de//FjnlOJRYmFgxh6vMmEqqc928DC4pRGV/WUF3sPlpgUw34c2uNquk6Ge+SkYKm6hhKLdB97z9RiOSBD54bKCZMtAcIkE4pGGF1RPqRjXRlx3RDTNCioqCIzL5+nfvNTooEAU846j4LKUbz+wHLcmVlcsuRrZPT835mGwRsPLO8znre1mbKx4wCwO51cfft/EfR20tXUiGi3c/6nlyb2rd+yoU+XrcHQ1e3H376fsM/36JAHsUg6Tk+GzeP2HHvHIaJqGq5kihCqCrqpp0TA0jAMYSgzmJUTJ3P17f/NqyueR+xopWL8JDa+9hKTFpyNJyePTa+v4NIv3pGIgAQ626nfvJ5gVwdP/voniKJIXmkZH614Fpcng9FTZhyw54jnrJ0zj+rps2mvi3cjVlUrBcvCIp3ohp7UZ10ykBQZewoj3BDXetJ1Dbdn5ERADMNEjkSPrd6aYiwHZIjkFBWf78rMOiXF8lKJoqjkDqOo3zDizofT5WHsrNPYsfodFi/9Bp6eovZRU6bTsHl9wvkAQBComTGnz1hyNNJrOSM3j6C3M7G8+qlH6GyoB8DUdZ79wy8AcGdmcvGSrw3K7ta2/ex8/z2Avp6QRdpwZWQIGZmp+xuXVQVHErujyJICutGRtAF7WPbmm+5wqx/7EHK4ne4MnG4wDTORBmXoOrqmo6sqhq7TXr+XWNCP05OBpqiU105gwXU3k9sTrXznkQfoqN/H1Xf8NwAr7vkj3pYmJpyxEADdMOhubY6351VV1r/6IhtffxlVlti95j2U99/B1KwoiIVFutAMA2eKi70Hi6woKY/KqJqGKIq4UiRmOxRMQSDQ3ZFWEUKwHJAhUzF+wpgMl/OUFMtLFeFoFNM0yBxCATqAoWmsfekZFlx3M0//7md8fNmv2L1mNSvu/RPX3vkDAELeTqqnzux1nCAIx0zB6o/ZF12O6HDgdLkTReiGYSCHB59a2dTSQtOObREg6S+PFkMmz5OVjceTugiIIitk5ScvNK+oimmk4DMUbI+Otttsw6qiMG02coqKgbh4YHZREe6MTErGjEUKhyipHsuoKdMRRZHCyqrEcYZhUFg5mlkXXZ6YOJhx/mJEm0jZ2PEA5BaVMGH+WcxdfFW/5167eTMt776Ow5W6/0sLC4sjYxgGDvvIqgGRFTVlIrMHUFQVURARhZGhemEYBggCQZ9vZ7ptsRyQoVFUUjPOUWkJECaV5vb95GRlDfkl5+1HHiDs9zHtnAugxzFcfNs3WPnQP4gFg3hbm1j95CM4PR6u/Mb34vUfDCwFqz/6q/EQRTERbRkosiKjahotO7a+PagDLVJNbXZhYUq73Mmqyradu9nb0Eh+dg6lxUVUlZcnPpuDRZIVBEh+aF1TRtndbhOG7oOIuYWcddEFAMy74rrE+pKaWgCqp83q/zhRZMrZi3qtqxg/sddyfxMIh6IoCrUXXmaJEFpYpIF4GpKe8na3g0VV1aRGoI90jhEkgo6qaRiqCqq6O922jKxPw4nDLbUzZ1FUWJhuO04qurv9FA6xAD3s66Zl13auvfMH2F0uTMOgbd/u+MvLwnMJdXey8bWXGD11Jp2Ndexbv4Zxc88A4gKAA0nBAtBVDdM02LdhLVtWvpZY73C5EilYAGNmzWX6eRcNyPb2Ti8tO7eha9r9g7xsi9RSnZWbn1IHRNVU5syYDph0dfvZVVfHhu3bcTgcZLjdlBQWUl1ZRYZnYAJeiiqDYTQk204Bs8o5jGJNRVERBNI2C6ioKq4RNvtqYXGqoGoaNps44jJGFFUhN3Nw3SoHfQ5NhRES/YB4PZwa78BrOSAnIna7/Yq88ipLgDDJhKNRqquGFlXKyi/gum/9MBF9mHbeRWx7581e+2Tm5TProksTxeoQD0fOOO+ifmdQM3Ky+zw4sgoKGDNzLmNnncbYWUefdR0ojc2N7Fz7gQk8kZQBLZJFlScnO6WtIzVVI8vjITcnh8qe9rKapuMLBPD6fXR0dbGnvh7RJuJ2uSnIy2d0ZRmFuf076rKqY7PpKXBAhIrh5ErHZAkxxcWeR0PVNNzukVMEamFxKqGoasqLvYeCrOg4C1JcA6JoiMLI0T9RVAVFigHUpduWkfeJOAGYdObZ80WHg9dXvUtGhoeCvDyqSsvJz7MckuEgq+qwnLpDU59mLLp4QMeIosjMIyifl9VO7LMut7iUOYuvHJqB/WAS74DVsn3bfiB1ktsWQ6HKlZGZ0sJJ1dCxHza+3W6juLCA4sICJtXWYpomgVAIr99HZ5eX99euxxDA7XSSk51FRUkplaWliKKIqqqCqbn3JN1QkRLnMByxmCwlVfF9sGiajsdyQCws0oIkSwxVxDSVGIaGPeU1IAqiaKb0HINB1TTUuD5S2t83LAdkCNgczqzC7GwmT5yAzx+ks9vLe63rME0Tp9NBlieD0sJiRlWU4xxBnQ9GMoFwGAwzpQW/I5FgKIQUCdPV3PBcum2x6EOpw+1JaQqWrmnH/GIWBIG8nBzycnKoHV2NCYTDEbr9Pjq9Xrbs2sWGrdtwuZwYpkH2vg1NybbTQCh2OJxDzp+QJDmtKsiapuFxDiyNzcLCojdSOET9pvVMOvMcIK6L1bZvN5qisOP9d1i89Ou99q/b+BFhXzemaSKFQ/i6vQS7vTy79h3kaARVlhg39wxOv+qGxDFrXniKygmTqRg/aUA2ffjcE0w+81yyC4sS61p2bqerqZ6qSVPJLSnDfoz6Dt0wWfPP5dT+4OeJdWFfNx31+wZkgyAKjJk596j7qJqKLY2TL4ejqCpSLDoiPCLLARk880ZNnCxUVlRQlF9AUX4B48fUACDJMv5gkO5AgOb2Vrbt2YVoE3E6nRTk5FJeWk5ZcWEfkS0L2N/eRm720AvQT1TaOzvZ89EHAH9Lty0WfSiyO10pc0BMQNeNQQsRCkB2VibZWZlUV8W7RUmyTHtXF5u272DZsmXJF70wyR+OYrCsKDjTNANqEtcg8AywjsbCwqI3Eb+Pj1Y8S6i7i3lXXEf95vV89OIzzFl8Zb9dHwVBZP+enTg9GbgyMhHsTuTuLuZe93EycrKxOVzkl5X1OsaVkcnKB//BOR//NB88+3ifMXVVYeYFi5k4/2wA9m1Yy2mXXt1rH19bCy27d9DZVE/E5+Pqb8bbdq95/kl2r1mNKzMLVZIoqKjk4i98FUwDTZZ6jREN+BOiwgdo2bUdh8tFSfXYw67z2A6IpCgjKvqjqipSNJz26AdYDshQuLFq8lTyc/umCrldLsqKiykrLoZx4zBNk1Akmpip3LxzG2s3ydgdTjJ7CkxHlVeQlTlyFDLThdfnp6igIN1mHHfqG+qp37JRAzak2xaL3rg9nmIBIWWzV3pPf/hkFGa6XS7ycnKw2cSUKO7ZDOHPLa2tl00cW4PHPfgXeVmRsacpGhy/z8KQO4tZWJzqFFaNZvEXb2fNc09gGAbN27egaxobX1+BHI0kGrCcfuW1lNVOpGbGbGpmzE4cv37DOjp3bj1it7qnf/szJi04m1FTpiHa7Fz/nR/12eeV++4iGgqxY/U77PpwFYam8fJ9f6a0Zhx5peXUb1pH2NdNLBykqKoagDceWM5ZH/sEAEWjarj4C19h3Yrn6GqOl8kZptnn+VtSM5aSmoOORsjbRd2mdVyy9GsJXaLBoMgKrhR32hoMiqoSi0RGhDKr5YAMEndm5nkZefnk5hy7c4IgCORkZZKTlUlNz0ylpmn4AkG8fh9dPh976htAFBL53CUFBYyqqBiRBVupJBKLMXbU6HSbcVzRdZ2ILNO4bfOWdNti0ZeM/OLiVKbJqqqW1JdiWVEAlKQNeAi//uTVK7790DOrPtqyeeFZp80b9PGyoqbtS1hRVYRhRG8sLE5lfPtbWPnQP7hk6TdYfNs3AOho2MeVX/8OnQ372PzWa1x1+/eQoxEcznidlWEYPP+nXyXGiEkxDEPv1SmyoKKKs26KOweCaMPmcLDw+lt44lc/RjwQFTZNSqrHcPbNn04cN2nB2XQ11ZNTWMy40+ZTNWkq0YCfrPx86jaup6NhL9PPuzCxv93pjutedHWw6rGH8LY24c7M4oW//A6/twvDMHjiVz9GVxQqJ05h4Y23svXtN9j5/rvYnU4iAR82u4O3HrofRYphdzoRRRtSNMwN3/vJMZ/hsqKQmTFyBKtj0SiqLEnH3jP1nFpvuUmgfPzEqS6bbcjtJO12e6LA9ACRWBSvL971Zm9DI5t37sLhcOJ2OSnIy2N0eQX5uSd3/3pZVck7ya/xcDp9PnytLcSCwYfTbYtFXzw5WTm2FKZLqrqGPdkOiCmEkjbgYWQ65MX+QMDX2t5urygd3EygqqlpS4FSNQ3bqZbbaWGRJPLLK8nMK+DZP/4/Lv/yndRvXk9mXgHZhUV0NhyslTi0u6Qoikw790JcGZk4XE42bNpEx9pVzL/mRgBi4VCv/QVBwDRB0zVUReaW//4pANveeZN9Gz/qY1N73V5GT53BjtXvUDVpKi/f+2eyCgpRYjGkcJjda96needWzr3lswkHwe50kldaTiTgA+Cyr3yTF157Ff9bK7j+Oz/ig6cfS2wLd3spqKjkvE98nsd/8SPOveWzFI+u4anf/oyZFyxmzMy5/HvZdwZ0/2RFpSBv5KRgRWNRDEXtqzGQBiwHZHCIxaNqMoqLS5I6aKYng0xPBqMryoH4H2EgFCIQDNLe6WXVR2vBNHE4HORkZVFSVMjoivIRpyo6VPyBICIMKbXjRKa1bT87P1wNcF+6bbHoiysz02NPYeG0qqoIYvLejBVFwUD3Jm3Aw1h2003hbz/8zG3rt279e1FBwaBqYzRVx2lLz5ewqqkIVvqVhcWQufgLX8Hb2szKh/5O9fTZaLLMS3/7PVIkQiwU5KW//T6x70Wf+wp2p7NXupWzsRlREBKio0fD1A3Wvvg0AN2tzX22K1KUWChI0/YtKFKMFcv/BMCUhYsIdLTRuG0TC2+8lad+81MMXQfiDk5GTh5TzzkfORqhq7kBTdPRZBlhAJPJ7z76L2x2B9GA/5j7Ho6qqXhcI6cDnyTJaJrmS7cdYDkgg+Xy6inTKS0ZfB7gYLDb7BTm5VOYl8/Y0fFcxgMF7p3d3TS0tLJ1525sdpEMl5u8vHxKi4opLyk6IYu4Wzvayck+taIfAC0trTTv2BoCutNti0VfPBmZDpcjdV8ciqoxnMLuw5EUBc3Qk6+Cfgi//vjV//jeI8/euWnHzimnTZ824OM0w0ibCrKmxkXQLCwsho7T5cY0TKadfT5jZ51G45aNbHvvLcbOmkegYz8Lb4ynU+1Zu5oNr61APORvTlFUTE3j0Z9/v9eYuqbz8R/9gsHgdGfwiZ/9jm3vvEnbvt2c/+mlPP3bn7HhtRfRVZVYOMgbDyxHCvcOBnc11fPEr36cKEJXVAUt0I0r49g1uGfd9MlEBGSwaLqOewRNriqqjKYpbem2AywHZLBcXTp2XFrSoXoVuBPPsQyGw3j9Prp9fjbv2MbajQpOl4PszCyK8vMZXVmBxzVyPvhHwuv3UzxEBfQTlZgko6oqLTu2rUy3LRb94/Bk2NwpTBs6oA6cLCRJQtBpTdqAR0BTXIvaOzv2d3i9Yklh4YCO0XUtbQ6IomrYRpAQmIXFiciG116kYsIkRLudrPwCFCmGJysHp9uNINrIyo+nlU8681wmnXlur2NXvP4q3W+/yk3f/3l/Q/dCsImcdtk1wJFTsA4Q9nfz7qMPYhgGMy9YTLCzg8Ztmzj/00t56jc/TewniiJFo6q5+AtfTRShy7KM2tZCxeiaY9q0Y/XbNGzZgBwdfOaSrutkjCB5AU3TMRR9b7rtAMsBGRTZRUVnuzIyyBqAx5xqRFHspQ0AB6MkvmCAzq4udtXtQxBsuF1OcrOzKS0uprK0FNsIS0eIRmPk1dSk24zjSoe3i8btW9B1/R/ptsWif5wuj5DK4kFNV7ElsdmErKomCNGkDXgEfvOpSzq+9dBTy9Zt2vyTi845e0BdwkzDTFsrSlVXEa0idAuLYdGyaztXff27ieWmbZsZO3ter5fyHavfoXLC5F7aHACaPvBmHrqq8sSvfhw/TpbJzO/dHXPr22+w6Y0V2BxO3JlZzLroMl6//29sfP1ldFXpNwJyqOiFrqkEvV00btmI5uti5q2fOaZNroxMPFk5A0rXOhRV0xEgpVpSg8UwTUxdGhGNbywHZBCU144f43E5ktI2MxX0ipLUkmgD7A8G6fJ2sX3PbjZu3YLd7iDD46GoIJ/R5ZVkZ6W3Q4OiquTlnFopWA2NDexe+4EJPJtuWyz6pXzc3Hk0trXRFQiS4XKR4XbhzvDgcblxOZ143G6cTicup3NIqY9qklOwxlRVCd0+35Jv3//4b3/92Rt2J23gfvjNrdf+9Lv/eeaL23bvrZg+acIx99fNweudJAtN01OudmxhcTKzb/1aREEkIzcPiAv+SZEwk886jw2vvJDYb+vbr1NYWdXHAdE1nYE8JO0OJ1PPXsScxVcB4G1pxtvSGN9oxt2IifPPZPJZ57Fj1Vu07dtNVn4BJibTF11I2OvtEwHpqN9L87YthAM+nvrNT7E7XVTUTmDXu2/iyMkjr7S8x0b1iO92Y2bOpXh0DbvWvDfgewagagqCKKYt+tsfhiAQCavvp9sOsByQwZBTUj3GUVFekW47BsyhbYATBe6aTiAcpNvnp8Prpa6xCVMQcDkd5GRmUVpUyKjycuzHabay2+9DtIu4R1CRVqoxTZNuf5CWndtaSGWfV4vh8DGX282U8eNx2ETC0RhRKUaoy4usKOiGga7r6IaJrqlxwVGHA7fbjcflItOTgdvtwu06+ONxuXu1bJRVlWQWuZeXlFBdWSU2trasWbZsWVFKBAkPQTXtixpam3eMqigTjjWBYOgGjjTNAsqKjHMEvQBYWJxorH/1BYpGVRMN+Nn6zhvsWfsBF3zmNkRRJLuwiD0ffcDaF59GjkYp7NHgOMCO998hunXdUaO9pmlgmgaiKCacD4DCyiryyytY/dQjePe3MGbWafG2usS/R80epwTTRJMVDEPHMAwatmwgFgrhycrGME2mnXch1dNmYXc6MTSNl+75E7oiU7LoUgCe+d3/EvJ5E6lfuq6xf+9unv3DL3C6Pax+8hEAbDY7m998lc1vvoqhHfvxqipxpyaZke7hYBgGAgJb31px5Ly248jIuCsnBjfUTJtJUcHAcp5HKna7LVHgPn7MGCCeuuX1++jq9lPX1MzmnTux2+x43G4K8vOpKC2jKD8vJQXurZ2d5J1iBej+YJBYOIC3pfnpdNticQRstovzyiuoKi/D5Th6tzlN0whFYoTCQSKxGNFYDH8wiNKloOoaumagmTqGbmCz23Da7bhdbqKSREmSxTenTZxAl9+XG5kw+3Xg3GMeMAx+d/Plu7798DP3rtm4aekFC888aj98EzNtERBZUXEe4//QwsLiyEw9+3wKK0cR9HbSXreXc2/9bEKsb/y8BRi6Rqjby8wLFvd5DkjRGIamcvaNtx5x/PyyCjKy8/rdJooiSizGuDmnM37egsT6zLx88sviE8LVM+aQW1KGKyMTXVXBNJlwxpnkl1cCUFhRdXA8u53JC8/BL9iIyCoAZ930CVyZWYk6lpKasRSUVzLpzHOOaPPKh46dPa2oGiLCiGkOpGgaetxxGhETnyPlvpwIPHb7/Y/ccPlFF5/0s/W6ruMPBfEHg3h9Prr8fnRVx+Vykp2Z2ZO6VYErCffh7Q8/pKSwkEm1x27Pd7Kwfe8eHrvnr7x6/z1TgW3ptseiL2Vjazs/+eNfFV21eHFSxw2Gw4SjUYKREFJUoqy0hLKi4qSeQ5JlXl+1CkXTv/27W6/5TVIH74f/+s/z3ePGVOdPGDP2iPs88+qrXHH++SlTlT8aq9Z+RH5ODlMmjD/u57awONWJSjFWrn6fyxYtSrcpvVizYSOGaXDG7NnH3nmItLS3sXHHDi4797yUnWMwhCIRVrz6Cn9a8okR8e5vRUAGSFF1zZk2u+Okdz4AbLaDUZLDC9y7AwFa29vZsWcvNpsNl8tFbnY25cUlVJSWDLo+JhqLkZ+bm4rLGLE01jfQsHWTiuV8jFiKqscU5GZnJ33cnKwscrKyqCC5WkKH4na5OGPWbFavX/erO//v+Td/+5krUhpuj+rKVTv37nuntKiY/u6ZpsdTFdLhfEA8D9t5Cjy3LSxGIqqipi36eTRkRSEzM7UNhRRFRRxB8/yqpqIqSrrNSDDyPhUjlLKasaW5mekt1k4nvQrcx41LFLh3+310er1s2b2Tj7ZswuFwkunxUFpUxKiKcjLcR24/Z3DqFaDruk5UUWjaumVDum2xOCJTKsaOF8srTpx6r8MpKshnwpgxwu76hneXPfpo8bKbbgqn6lx/vOW6d7/18DMPvP3hmk9luN1UlpcKlSVlieYW0ZiUVh0ORdVwu6wULAuLdCCralLqv0xg17598Vo7pwun04HT4ez5d/DNgWRNJd+Z2ueCqmmIjJyuo6qqYijyiEi/AssBGSijSmvG2ioqT9wXkmRzaIF7TVU8v1LTNHyBIN4ep2R3XR2mIOBxOsnNyYm3AS4rxdbTyq7b143dbseV4ofASKKzuxtvcyOxSOjhdNticUQ+Vj1lOgV5J3ZkbsLYsXT7fW6vn/eAGak8128+fvVnbnz00aWjYuoXw3tjS3bX1U2xOxzCqLIKwe12prUIU9P1EaVEbGFxKhGTpKR8x2uqxo69e8nKzETTNAzDRDcMTENHN03soojd7sDhtONyOMhwuXG73bhcTpyOeLdCl9OJy+HA6XSg6VpKIzOP/+JHlM2eT3R/C8+uX8VVt3+vzz51Gz/C29J0zLFmXXgZ9p576G1pJhrwM2rKQSHYD55+jPyKSiacfmZinaYovPqPv/QaR1ZUdJ9PWLJkyepD14ui+MQ999zzm9tuu+060zSvWr58+WcOt2Hp0qUK8C/gweXLl795TKMHgOWADIxbaqbOpCD31BLLGyx2u53iwgKKCwugtjYRJfEF/Hi7u9mxZw8bt23DbreRnZGJYRrkZiU/zWUk09Layo4P3wP4e7ptsegfwW5flF1SQm72ie2ACMBp02fy+qpV07/90NO/+/Wt13wzled77KabFOBPwJ8wTfH2R567dV9j49dEwZzrdrnTNg2o6xqeEaREbGFxKiHJyXFAZFXBZrNzwZln9tlmGAaRaJRINEZUkojJMaIxie5AEFVV0QwNXYt3yNJNA0MzEG1iSh0QQRRRDR270wVHSD+N+H1EA35UWaJt315qps8CoHnHVrIKCskrKevRWTkYtOhubeTD557kyq9/l5ye+sGGLRsoG9e7xk3XVHz7W7nq9v9KrGva38rbr70q5fnabgmHw66srCwZIBwO+wAEQcgUBOFI+cGGIAgh4KfAWUO4JX2wHJABYLPbL84tK0uLAvqJzKFRkurKSjRN4YWVbzF76kx8/gCd3i68fh8vvvkGHpeb/Lx8qirKKMo7eR29lrb9tGzfHgCC6bbFon8qa8fPtAsCjiS2yE0XDoedBXPn8PYHH9zxzYcef+13t97w4nE5sSAYf4jPlv3rjoef+EGu0/kT0tD0xDRNDN04JWr3LCxGIrKsJMUBURQF8QhPEFEUyc7KIjsra8DjvbRyZVL1Obateovtq1YmlmPBAJqhY7MJdHd18OwffgGAaRhMWngOE884i2nnXgjEtUq8Lc0s7OkU9uwffkH1tJmJ7QCGptHV3EBucSkFFVW8859/Me/yq8ktKUORYuSXVRL2dQPgcLkQRBEEgaz8AjavfJWyseMRXG5kVQ3ddddddUuXLt2tquqGe+6558bEOQxDN03TXLJkyQRBEB4yTfPQXsMO0zTnAyxduvRXy5cv/85w75nlgAyA8vETZ9sF0RKzGiatHZ1kuNyUFRVRVlTE5HG1fWpJ1mzciK7pOB0OcrKz47okFRXYR0gf7eEQjcVQFZXmPTveSLctFkdELBxVnV2Qn9z2uOkkNzubqRMnsm3XnqeX3fNcxbLbruw6nucXDCpczvQ4AJqmI4jiUVsEW1hYpA5JUShIQqMZWVGT+g5mAo4k6p1NWXguUxYe7Hz+5K9/gqppOGx2cotLueKr3xrW+IoUY93Lz+NvbyMjJ5es/AI2vPYSWXkFIAisfPDvKFIMORJh3NwzmL34isSx4W4vL7/2EsXTZmOY+L/4xS/+xjCMUW63OxHJWLJkydPAVFEUiw3D+Pvy5cvnHXr+pUuXhpYvXz5/WBdxGCf+W91xoKhqdF5Bwck7K3+8aO/yUpCX12tdf7Ukh+qS7G1oZPOOXTicDjLcbkoKCxldUUFmRmq7V6SCDq+Xxm2bQdfvS7ctFkfk7FETJwvlZWXptiOpjB01im6/39FG50ag8nieWxBtxQ6nIy2tYFRNtZwPC4s0omrJKUJXVAUxic0sTNNMukK5YRi9nje6rpNhtyMfso8UDuHOyu6z77HGdWdls/i2b/D8Xb9h7My5TDk73tb40Z//AFEUuer277FuxbM0bd/KGdfciCJFE8cvuO5mymrHs+rxf5Op6WMNUbhj3bp1f1m7du14QAb899577zVLly69xTCMW++9997Lly5dulEQBCdQaprmTwHttttumwI8ds8990wd7r0CywEZCGdUTZwslJeVp9uOE55AKETt6NHH3M/tclFZWkZlafwlUNM1AqEQ3T4/7V1d7K5vQBQF3E4H+bl5lJeWU1FSlGrzh019YwO71r5vAscnDcZiKFxbNXHKSdkaevaUKbzhf6/iOw8//c9fffyaTx2v8wqGWexOUwRE1TTEQXbHsbCwSB6qpuNMQqRBUVQcYhIjIKaJw5a8CAjAc3/8ZaIbVzQYIEvTsWc4CHS2J1KwAK66/XtsefMVdqx+B4S4o6LJMo/+/PsAKLEYm954hW3vxmu9M/MKufwr30zYve3dN9m9ZjWqLDFqyjT279lFsKsTX1sr+Ud4Vx0zcy57Ghpo++AdOzY7s2/+zNfGL776a93tbQS6OoiFwvr2xma9KCuLrPyiDZFIZOzmzZtXTZs2zRUKhWaUlZXJgiD82DTNpH05Wg7IsbmhatLJ+UJyvFEUeUgtd+02ey/19kPTtjq8XWzYtoWPNhs4HXZyR2jalmma+IJBWnZub0i3LRZHxuXxnJeRn09uzsnXHMFms7Fg7hxWvv/+J7/14BMrfvOJ6/99PM5rdziKnUmeaRwoiqrFc6EtLCzSgqZpOJzD//uXFAmnMzkOg2HomIaR9LT6q+84WPD95K9/Eu/OZe8/BWvGBYuZcUFc6Lajfi8rH7qfm77/MyBeAzJ29mm9akAOoKsKcy69isoJk3nyVz9mwbU388Ezj7NuxbN01O/jgs/c1q9tdRs/omPNe0w+6zzqN62HtgbO/+QSFE0jEo0SCoVtXXt22qKtDdx29c0zI2vf4cxLLrvEiIZwlFWNkcIB3IZxQyQSeSZZ92vkvKGNUDyZ2YsycvNOyheS44mma2i6Tk72wIvEjsTR07Z88bStnbtwOA6mbVVXVpLhObImSarxBQJE/X58+1ufTpsRFsekfPzECU7RhiicnC+tWRmZzJk6jXWbt/zra4888sGfb755b6rPKZhmgdORnlbbmqpisxwQC4u0oWsaToeTFcv/xMLrb6Fl5zaC3k5Ov/L6QY0TkxXcrr7d7AzDAMNAPMSZaNq2hdyS0kSXKDhYxA3xiQnN342/pYHQYR2qFEkiu7CI3OJSOur3oUgxqib1zThacc8fmXPJFRSNHoMoiokC8MT5dB0B+jg5hqahSDHch3QA7W5txuUZWFq5KknkFvdOEZ69+Aoe/98f4nC7KampBUikdxmaxsqH/kHr7h3Mu+JaJs4/mzkXXc7Tv/9f3v/XvVx1+/dw9tzXOqfIh3u3UxLtRhpdTXZJGd6mBorGTcbb1UHHhg/ZuHHj8IpZDsFyQI5B2YQJk522k/eF5HjR2tGJ2+XCJqams1CftC1NxxcI4PX76OjqYk99PaJNxO1yU5CXT0VpMaWFxy9tq62zg11r3gf463E7qcVgcRZWjvIUF4/8dL7hUFFaSqfXKza1tX+IaRYjCCkVphIFMcOZhBnQoaDqWlpFEC0sTnU0w8Bhd+Bv34+mqQS9nfjb9/e774t//R1hnxdd1zFUDYc7nrqpSjLYRETRxs4n4OYf/r/EMe89/hCBzg4u/8qdiXWrn3qYM66+qZcD0tXcyKv/uJua6bNRNQ25s5O9ptqnNZ+mqdRMm0lucSltdXsIe7v6dUC8LU289+QjlI+dwBnX3MiO1W/T2ViX2C5HI2QgYLOJfVKw8krLOOfjn0ks71m3hpIxY499LxUJVZYorKzqac8bx1BVTNPEndFXLLuzuQFfWyuXfvmbFFbEJ2xFu51r7vhvXvu/e1CiUZwuN+8++i9a9+xk5vkXM+nMczEMg+YdW4h0dRBubSDc3gbAWWedNXnhwoXfWL58+deOafAxsByQo2MvrhqdUVp8pLbIFgOls6uLgpzjl8Zmt9sSmiSTamsPS9vysnbzFgzDwGk/PmlbDQ2NNG3brAC7U3ICi2Rwdc2UGZSVnlwF6P0xfdIkugPBgu8+8uyKX8LFqTyXYZruZHabGQyqqloOiIVFGmjYspHm7VsIt+3no64WdDXeEEIQRcLd3ax98Wkg3t1pysLzyCst57Ivx+sc9nz0AVtWvso1d/4AgCd+uQx37SSmzj8rkfVwgNOvvpEnf/lj1rzwFPMuvzYeYYjFGHWY0yCIInani4U33kpTXR2hun2cdf4Fie0fPP0YBZVVjJ+34OAxgoBgE/G2NLPxtd6lm4ZhYHe6aKvbw+41qzntsmt6bX/8F8tAFLAJNnKKSrjya9/u9z6tW/Ecoa4OLvvi7b3Wm6bZZ993H/s3xdVj0BQFKRIGQSDk7eLFv/6OMbPm0L5vD6/cdxcXfu7LGGa85a8AnP2xT6IrMh31vQPesy5cTDTgQ1NkCsqrmHfFdbgyMmnYsoF3//MguSWlzLroMra+/TqaLNMRilCclfFPIApYDkiKubx66kxKS0rTbccJTzAYpHr0qLSd/2hpWx3eA2lbO7E7nGQm0raqyPAMX8BM1XQkVaFpx9aPhj2YRSq5smz8BPKyT369H1EUmT97Fm+8995Fdz747Nd++4mr/pyqcxmmYatrbqKr24fL6cDRo0TstDvj/zodKYswq7qe9EJTCwuLY5ORk0PJ2HG0ShoV4ybRtHVzYpvNbseTFX/OerJy4mJ9x0DTjV7dLzvq97HqiX+jqyp2h4OmrZtp3r6FmplzAXjqdz9P7Fs1cSpjZ5+WWF79yP3oJihnLsDpzqBx2yZ2rV3NBVMP1k+sf/VFWndtR5Ul3Fk5TDv3oLMC0Fa3h9OvuDZ+rf2IVJumgalrCGY8Rexwwr5uViz/E6okcemX7uiVQmYYOrqm9dq/dfdOWnft4No7f8Ca559k3/q1iHZbol5kwXU3oykSz/35N3zw9KOccdUNlNdOYMtbrx/z3uaWljF38VWJ5VGTpnHtt35ARm4eT/76J9idTsrOuZC3//x7vTSnps0wjKTks1sOyNG5qmzsOKsAPQlIijKkAvRUcnjalqrp+I+StjW6vIzC/MG3Y+7yeulqbEAKhx9K9jVYJI+svLwz3ZlZZGf1DWOfjHjcbk6fOYvVG9b98XsPP/PuLz5+9fpUnEc19bub97eOEbGXiaJYJNiEbBPTYxqG0zQQDdMQREFAtNlNp8OB22nH5XDjdDkEt8uVcFYcTjtOuwOXy4nT7sQ+AKFIWZJTqnZsYWHRP8Wjx5BVUs7uUJSxs09jzQtPJrZl5OUx9ZzzBzWerutkH+KAlNSM5do7f8CTv/4Jp11+DaOnzADgqd/8FHdWNtd/50d8+OzjdDY1cMbVN+BtbkwcO/OGW1n32EM88YtlnPPxz/Lufx5k6lmLqBg/MbFPaU0twa4O5EiY0rG17Hz/XXxt8dSxhTfcgijGIxv1m9Yl6i4OZfw5F9AUjFA9fTb55X07n2flFzDn4iuomTmnTzveuYuvJqe4uNe6ivETuf67P8KVkcmC625mwXU389bD/8fEMxZSNjaugm53urm2J2oEcP6nlw74/h6KaLeTkZsHwMVf+CpZ+QW8unIlqiRp5eXls1taWqYPaeDDsJ7MRyGnqPhsp8dDZkb6ipdPBjRNQ9U0crNGdiG/o5+0rUAohNfvo7PLy+r16zEBt9NJbnY2xQX5jCqvOGYnjebWFra/vwrg/uNxHRZDo3TsuNEuhz3RRvFUoLiwgPHVNcLepsZ3lr35ZtGyRYukZJ/jdx+/9pih+jsefa5SjGq1ql0eE5LMUYJBhWAKpSAWCYJQZBdt+abNyBIMwY2ATdcN0TQNRJsdp8NuOhx2XE4nTocLj8sluFwuXE4HwXAQu91JIBTCbrfhsDmw222WNoiFRYoxDIMX/vgLFN3g2Q0foMoH1TA6G+p44lc/BsDucHL1Hf/Fhtdeon7TOkTRFhfUi0YSdROxcAh2b+Plv/0BTJOC8grOvvnTifHWv/w8W99+naz8QnRVRVNVAPwd7WQXFPa1TbBRcf5lOFrreOOfy8kpKmbO4it77VMxfiLelkbCPi8VtRNZ9ehDXPiZ23jnP/8i7PNiYrJ99Tvs/egDJp15bp9z5NeMo3X3bnKKinvVohzKoVGZQxk1ZVq/612H1Xice0gdSarI6hHlVVUVRYrJy5Ytk4A1yRjbckCOQvm4CTUZLtcp9UKSCtq7unC6XNhsqSlATxWCIJCXk0NeTg61o6uBQ9O2ugecttXa3k7Lrh0+4nmTFiOTguJRNY6ykpO//uNwJtXW4vX7Mn0dwXeB/r8RU8zvb7qyBWgB3h7oMV978cWczIBaG5aUMaISqxKCVAmiUG6alNpFe4loFwoN0yzDDJnvrPUJgomo64ZomAaCKGITRew2m2mz23DaHTjtdhwOB3a7Q3A47dRUVpI5wM40FhYWvRFFkXOXfIMtO3ewaMEC/vOz/05sK64ew0Wf+3Kv/SfMW0DFuAkANO/Yxt71a5h/zY0AvPngPxDKqlhwYbxczZV5sJumaRiMP20Bot3O5jdf4cb//inP3/Ub9m1Yi6+thQXX3dzHNkVREE2D1l07yMjNI9TtZduqt3opmR8Ld0Ym+9Z9SPHomn63K4oK/dRxnKhoho4cjYWTOablgByZvJLRNY4KS4Bw2LR3dVGQd3KksR0pbavL301HVxe76+qx2UUy3G4K8gsoLshDVWRa9+56Lc2mWxydm2qmzaSkuO9s2cmOIAicPnMWr696d+6d/376//32lmv+69hHpZ8/X3ZZEFjf8zMolt3zXFF3rlDmVsLlMclRaoMK0xQKTIxCQRRzRUG4vrSgSLQcEAuLoaNqCo4Bandk5OYl0n46GxtweTIOtpS123FkZ/eb6qQqMqOmTCcWCibWTT/vQt5/+jEMXU+kZh1Kd8M+Wle/RWHVKBYv/Tp7133I6icfwdT1PqlhEb+fTW++AsCHzz1BJOAD4ilmdRs/Yu6lV/d7PYqqnFQtwA3DRAqH/Mkc03JAjsx1NdNnUlRYkG47TngCoRCjK/rmQJ4MHJq2Nbl2HIah4wsG6fYHaO/spLGlmWjAD7r+j3TbanFUFpeMGUveKVrv5XQ4mD97Du+uXfvdO/795Irf33LdW+m2KZUsu+3KLqAL2NLf9v/6z/OKzW61z7KwGCorH/w7Xftb0A2DZ9957YgpWAAlo2t6pVS17dtF3qHdCE0ToU/D3LjGhaFpZBcW9XJAqqfN4t1HH6J6Wl/nY9/6tTS/+zqFE6ax+NOfB6B2zumINhvvPfEItXPm4c7KpqN+L3UbPkKw2Rg3dz6jp0wnp7CYph1b6GysRxAE7C4XoigS8naRfVhbf1mRsQ2gTu1EwRQFIn5/ZzLHtByQI3NFYVX1KftCkkwkSSLvFBFyFEXbQdX2mhp27t3Lg88/DYNILbE4/mQXF89zuNxknMIz3vm5uUypHSds27vv1TsefbTs9zfd1H3so05OTEzRfoKljFpYjCTO+8Tn2b57N5puMH3SxGOmYB3A29xI2749XH3Hwf1NTMR+NMQ2vr6CnKK+Mgmv3HcX7sxMGrdtpqN+bzxy0hONGDv7NPZ2djGqJ93rAGNmzqV66sxEN6rVTz3KlLPOY/y8BbTu3sm6l58jGvBTUFFJfnklzTu2xvUzHnsQKRzmqtu/12s8WVFxOdMjwJpsDMNAQCAW8jcnc1zLATkCJdVjFtjtNtyuY7eHszgyhmGgajq5p0Br0/4IhyNEfD6w6j9GNGVjassy3K5+5tiSSzQYJNi5n7Laicfembjw1P49e45YlJhMFFkiU5fIFU1H0PR8AIxP+UlHKLppOSAWFsMlpihk9XSuMk0TwzAwe34OR5FibHx9Bbs+WMWsCy9LFD8DGLoBZu9jfO372b76bS763JdY8/yT1PUUsD/5659gGAZX3f496jeu49V/3M1pl11NyZhxGJrGs3/4BZFYlMDGNexy9J8eVlpTy9V3HMxEdbiclFSPYc4ll/PWvx9g5+p3uOS2b2Cz2Xj+rt+QW9xXqkFSlKS08R8JKJqGES/s70jmuJYDcgSKR48tyT2k0MliaLR1deFwOQbUMvNkJBINI8UiKVWathg2taXVY8XjUe/VsnMLHz73JFd943t9Qvb90d3aytv/eYBbf/zro+73zO/+F+EI+caGrnHxkq+T0dMGe9/6tWx56zVM00RVZAxNQ9dUBEFEtNkYd9oZSJ68cXf++5m///aWqz8PiLfddtve7u7u6Y899lgYYOnSpT8CEuFhQRDa77nnnl8O9D6MeExTSJUoqYXFqYKiqjh7XvLzSsux2x3kFBb329hHicVo37ebc2/5bB/lcU9eAZ7DumhqssTM8xdTPHoMuqaRmV/IhldeoGrSFM762KcQRZEJp59JTlExuUWleHJy+Piy+CPqlXfeZeLYMVRXDiw1vHj0GIpHjwEgK7+QM6/7OJ6e5+lZN34CXz/K7qqm4nHlDWj8kY6maqiKDNCazHGtJ2z/VJfXjhUrBvjhtDgy7Z1dFIww/Y/jiRSTkMNRNd12WByVj42ZMYuigtTUe615/klC3q7Ess1u54W//paSni80gDGz5jKmR0DrUBwuF+IAuvCdecPHE7OKa196Fpcng+nnXZjY7j6kf37VlGm4s7LILigiu7CIDa+9RNu+3Sxe+vXEPsFQmJUffvC5bz/49Cvdbz4XNgyj+IDz0cN3DMNIqHYJgvA34KRxQEzTtBTULSyGiXaIA3Lg+TLpzHP63Tcrv4ArvvadfreNPu8SVF3vte5Qp6Bs7HjKxo5n0oKz+7TYPqCRcSimaQxZH+iMq2/otVwzYzY1zO6zn6ZpiWs/0VE1FTUWg3inwqRhOSD9c0v1tJnk5w1edM6iN4FggFHlFek2I20oqoocCcbSbYfFUbkglfVelROnUL9pPZ0NdUxfdDE1M+YA8ZSD9a88zxlX30hBRVW/x8ajGr0dEMMwaNmxDVWWEn3kiw9xZlyeDDxZ/XeMMQyD1++/u9e6SCCAJsu89Lff91o/4ewL2N3W9ZDocL6CrkWXLFmyGhAFQfijIAjGfffd9+CBfW+77bbeg57AfO3FF3NMv2JphVhYDBM1SS/hkqKQlXlsgdiB/s0ahonDnlrnQNd0PK6TIwVL1TSkWASgLpnjWg5IP9js9otyS8tGnHL3iUhUknq6QvnJz8095TRVdNMgGgqF0m2HxZEprBw1y263p6zeq2L8JHKKSnjmd/+L0+NJpBe8ct9fyCkqYeyso0tvmKbB2hefprOxnmBXB7qq4vRkMGrStCMKWR2N+dfejMPpont/M+888k9GT52Bb38r/o525l1+LWVjx2PoOu7sbMI6Nj/mYhPOuvfee987MMZtt91239KlS3930Ebz5PnDDgaLRcESn7WwGC6aruFIggMiKzIlSexIapoGDkfqXn8Nw8AAnO6To4ZYUVVi8dcYywFJNeXjJ862CyKOU7RuIZlMmziB+qYW3l+/DsMwKSsupqK0lJLColOiLsREJOz1JrVwyyK5lNSMyc/JTG33q6z8Aqaccz7vP/0oN3zvx+xes5qupgau+/b/9NrP29xIw5aNdDbWEejsQJUlDF2nu6WJinETWXDtx8gr7V2r8shP/6tXUaeuqiAINGzd2Gu/i7/wNQorq8gvLSfQ2c6qx//N7IsuR5ElIgE/86+5idcfuIezP/apgznYLXUIIAg229tLlixpFgShGzgLaO8Z9jOGYXxdFMW2JN+ytOHRcoptDv3YO1oclZC3K55C6HAQ6faSX35ipzRHg0HcWVlWZGwQqJoWfxk3jGHdN0VV8biTNylgmCb2IaZgDQRVU7EBrhSe43iiqipS3AFpP9a+g+HkuDtJprhqdG5hvpV+lQxGV1QmNEC6/T7qmprZvHMnsryJrMxMRlVUUFZcTPYAwqsnGpquYWIQi4T6VqhZjBTml48dL5RVpCZNcOWDf8fberBzoSCKPPTDb2GzO3BlZvLCXxNBBIpH1yBHI6iSRNnYccy6+HJcngxeuvsPXLzka0c8x83/8/96LT/9u58jRcJ91kP8pfDD556gbe9usouKiIYCdDU1EPb7aNy2idIx43j74QcorKxi/rUfY/+eXcy5/FrWv/GyzV1Y2u0aM+EpuX7XD5XOjueEWLjaNE1NFMUKYPmSJUvOPDRKcqJiiEqx0+4yOTz3zWJQvP3IA5TXTqB0zDhWPf4gN33/53322bfuQ1r37EQQjvxyaugaMy5YnOg0FOhsp3HrJqafd1Fin49WPIuhacy74rpex7549+85VtDd0E2yCws55+ZPE/J28e5j/+LSL97RZ7/n//RLSmrGUjSqmmnnXtjPSBaHI4o2Vq1Zg9bjgDidTtPldOBxunC73YLb5cLldCZ+nE4nbqerT3RCUXUyM5I3SWQaRkrrMxRFQxBtSYn+jARUTSMSDCR9XMsB6cv8yklThPLyE0sBXVMUQt5O8ssr8bY0k11UhHOE5R8W5OVT0FNXoygqexsbaGxtZce+vdhtdipKSqkoKaEwPw8lGkGV5QF1ChqpKIqKFhdfSuqsgUVSub566gwKU1Tvdd4nPt9n3Qt3/YbR02b2eoE6Ev5+uqscDUWKEQ34sTkctO7eQcX4Sb22121YSywUZNFnlvDmP+/Dk5XDqMnTE9v3rH2f8z71efZ9tIZgZyfjT5tP3YY1CLKM3tU2Wwr6Z6tBP/aiUjRDR8TEVVnzC83bYSKK+nf/82yDrhutpmG0mQKNNlOs1wWtTrVpO/988817B3UxacI0jAKH1QFr2Ig2EZvdjt3lPKKDYXe7cfd0N9r+3ttM7ilQbtq2GZvdQcWESZiG0UsDQlPVuP5DYRHV02cn9h/bTxMH3/4Wbv3Jb/o9t6ZIgIj9EK0GQRRRJbnf/REECqtGs3fdGssBGSBFBflmU+v+f/zu1mu/8M1HXpgQ0aPjpYBjrE8IjrEhVmFSZnPYK0TBLACbxzA0p2kaom6C02bD4XKaHqcLTVOFhuYm3G4PLocDp8OJ03nov44Bp3eb9ERAUthmW9EUEMCZwjSv44ksy8ixaNK7eZ4cdye53DBq4hTyTzABwu7WJlY+9A9u+v7Pee3+uzn7Y5/s8/KhKQorH/p7v4I+h1JQOYpZF16aWH730QeZf80N2J3unnEknvrNz7nxv3/a67iPVjzL/t07sB3F6zdNUGJRrvjqnUweN45dzz7KpV++na5glIbmRtZu2YymaYgt9Ugd+3HY7X0Efk4UZEVBiUQAkireY5E8BEE4O6+8grwU6tRsees1Ah0HfdCw30fDlo0EOw9m5uWXVTDl7EUDHtMwDDCMhGjWAV6//28UVY1m3NwzePfRB7nhv37SK/VhxgWLmXHBYqRwCEyTWDjY63jTMHA4nJx10ycS6yYtOJtn//gLJsw7k/yKSt5/6lHGzZ7LhtdfQhQEasdUC6HcbCHi6xanTpoyTpblcTEphqwoZkyWkGQFVVWFO//9NKIgYLPZdEC1IYQNk25VU/Yj0GSa1CMY+w3T0YJDWPv7m65MaseVASPYC2x2K81msDRt28Lal57G1uO8RfzdlI+bhCiKyLEoz/7hF0A8ojFm5lxmXngpo6fMYPSUuFr1zvff5bTLrgEg0NGOKyMzsXyA3WtWY7M7qJo0lTXPP4WuqhSOqibi95GZX0BHfdzHtTlcFFYebOyw9e03sNltTDrz3MS6l+/9C4auc+XXD+u81PMee8DeA6iSxJ6172OzO3jnP//k7I99alj361RAkRVE0+gA+N3Nl+8Cdg3kuGX3358nOXLGBw1zUiQcG2eI3FjX1LzHNIVi0S6U2kR7nmDiMUzDYZqmqJuGYBdEbA676XI4cPZEVDwup+B2uXH0OC0upx0BEYGBF6wPBVXVwGTInbZGGtFoFFWRk56XenLcnSTiycxalJGbR07WiaUBYrM7OPDkFEQBRz8FtaIoUlhVjdPlZvt7b5FfVkHZ2PFoisyWt15n1kWXAeA57GUs2NXBC3/5XUKZtG7j+n5nG3z7WyisqmbBtR/r18ZgVyc5RcW91um6ht3upKIkg4qSeLQjFA7z3nMtaIAUDvHSihcZN3EyZcUlZGedOKla8sHCrcZ022LRPyVjxk61iSJOZ+pC5a6MzF51G/v37cadmdVrnXuQKYhN2zax5oWnueG7yxLr1q14Dn9HGzf+14+xO93sXb+Gl+7+A5d+6fb+v2wFAU9W77/1I2mJALTs2s721W8jCiLrX3me2rlnMG7u6bxy31+pnj4Ll9PJ6IpekeNeDwnDNFBkBVlRbDFFsSmK6pYVpUhSpAlyTEJWNTMqSaiqIqiaxrcffgabIBiCzaYKCBKC6VNkrRnM/Qhmi6k4HvztZ674aFA3bkDoBTYrAjJoRk2Z1kswc8U9f0z87s7ITMpEUkf9Ptrr9yKKIuXjJrJ/7268+1swDYNdH65CV1X87W2MmTmXhTfemjjO4Xaz5rknad29k/M++QV2rHoLf9v+XjatffFpWnZsIxLw8cJffsviL34dJSbF7c/M4Nk//oqFN9xKSc3YYV/HqYKiKRg2YdD1Ycs++1k/sKbnB+BHRz3ANMVv/ufFcaocHadJ4ugAYpUgGBUmYqldECpEu60IyBbAbRimAwTxmVdexeGw4Xa5TbfbidvpETI8blxOJ26XG5fTgcftxuVyIh4lRbDf61bUI6q3n4hIUgxVlpIuJ2A9ZQ+jfPykyU677YQoNHvhL79FU2QEQewREutxQBB499EHe5ySuENy5de/i2i3M7vHydi3YS0lNWOZes75RINBtr7zBlPPOb/X+C07t+Nv38+oKdPZ9MbLrHnhKQrKK2navgVXRib71q9N7Fs1+aBwkBQOsfKhf3D+p5fi7Ckcq9v4Easee4hr7vxBL4XTA/d5zfNP0tnUkMjXjYVCmLEYecXFRLeup97hYkddHXbRRkVpCRUlpRTm543o/ydFUQn5uwFOiNSTUxB7UVV1Vn6Ku92Nn7eg13LdpnWJv71jIYgiJmaf9a27diSch0BnO+8++iBBbyeXfvH2RKTygs9+iZfv+SOP/uz7zFh0MZMWnpv4ezEME0yzT4qXofc/yWVoGh0NdVz37f/hlXvvYvp5FzGzJ0p6/Xd+yOaVr6LEoke9FlEQcbvduN1ujhBf7uWwqKqGrCiirMouRVZdkiLnyopSI8ky+9vbUU3NASTfATGN3JNl5vJ4421txulyI4hivBlCD4auJ6ITAEVV1WiaQsTnw3GguNiEsK8bAF1T0RQ5sSxHoxRWVrHwxltZ+dA/cLrcnHnDLUBchNM0TS763Jdo2LKJtS8+08v5AJhw+pmUjqllxT1/4slf/Rg5GuHMGz7eK8X3tMuuYdKCc3jjn8u5/Ct38tr9d+PvaMfUdcrHTcRmt6NIMR773//h+u/8qE/00aIvsqIiICZVvK5fBMH4XTy6MqAIC8CyRx/NknTXeH84NtoeCk80bGKtYDDK7rBV2xBKdMwswKFpmg1BwOVwmC6nC4/bhdvlEtwuF4f/uJxOBEGIp2D189w+UZFlGUWKJV1OwPoL6o29eFS1p7Sn2G2kc/lX7kz87m1u5I1/3ptYTsZMjRwJEQ362fXBe0xccBYAsVCQ9n27ycjJo37TOtr27SanqJiiUdWJ40S7DSUW4/H/9yPO//QS8ssqWP3kI0w+67yE8xHobOeth+4nEgjw3J9/zZSzzqN62kwgHs3pam5g7/q1XPal3sWArR1dNDY3sWbLZjRVpTAvj8qyMspKSnAfkss7ElAUhVB3F8CedNti0S+Xjpo0hYqK49udx9A1DE0b0L7ZhcXY7A7+/aNv94pOaIrCtPMuItDZzkt3/4GyseO4ZMlXEs4HxJ37S790B1vffoOt77wBkEjz0lUFoE9Hrabtm/u1Y+ys06ieMRtXRiaGrpN5yCTCe088TNu+PUwbgEM1GBwOOw6HnSz6Fp8GI2GzK9Cdks5bpmjLtdtsVgH6ENjy1mtEAz6AA88+AFRZ5qMVzyaWz/7Ypwl0tPP+M48m1hmGzsv3/hkAORJGEITEsjsjk8u/+q3Evg1bN7J/326iwQAzF13M/r27qNu4Dm9LyxHrBnOLS7nwM7fx0t/+gCCKFFVV97vfodTOOo1YKIhhGDjcHnZ9sApNVSznY4DoqibYdOeITEFedtNNYWB9z89R+dojj9SimFMkWRvnD/nHg1hhF201NrutBMwc0zDdhoGom7rgsNsR4KSSHFBVDTUWS7qcgPVX1JsrqqdNp6Sk+Nh7jgBC3i5Cfi92m51AZ+865+79LYCJHI2RkZNDYdVo2vbtTsyAHphd6qjfixSNYJpmYobK0DVyissZO+d0Rk+bxe617zNpQbw4sHn7FjRVJbe0jPNu/RwPL/sucy67uldqldOdwVW3f48Pnn6M1+7/Gy5PBvnlFcxdfFVin9ziUq66/Xs8/dufceXXvk00FOSZ3/8v5bUTaNu3hwXXfQxd03jt/rvJL69MHFtRUnQwVSsaZk99E7vq6ti0YwcZbjdV5eWUFRePCA2XmBQj1N0NYHXBGplcPWryVPLzju9n5dxbPovLM7COLqIo8rEf/JxYMIiuH3RabDY7np7P+M0/7Nvt6lCmnnN+n2hLZm4ei5d+ncKq0b3WV06cTE5h3+ffjAsWJ34/75Ofx5OdnVieecFi5l7mSnQpOh6oqgqmkJIaEZtu5lgRkKFx7sc/k/j90BQsV0ZGn85SWfkFXP+deGaNYRg8vOw7ieXX/+8eXBmZvWqRDqDKEhPPWMicxVfx0A+/Fe+QVVLKhldfQpaizLrwsn5ta9iykXcf/RcTF5xNoKOd5/70Ky7/6p39fm4PTBA079yKrqoUjaqhbMw4tq1a2a+ytkX/aLqOw3Q0pNuO4dLTQOOYmQzLHn00S1L0yZJN/FpuRtYnOEk66WmGjhyN+pI9rvWU7c1VpWPHkZ+b/pfXgdDV3EDdhngGgipLvbbVb1pH667tAJSNm0hh1Wg2r3yVWDBedBoLBWnavpnOhjoMQ8c0DN5/+rHE8XMvvZqMnBwM08DQNN54YDkRv4/SMbXMv+YmNr/5KpqiYOg6ZWP6fyDPu+p6WvfsIOzr7pWidSTsThfnf3opDy/7LjmFxciRMOHuLsafNr/f/bMzspg9ZTIAmqZQ39RKU3sbuxvqsdlslBUWU1FaQklhYVpStcKhEHIkbAJJ7x5hMXzsDseC7MKSlBag98dQXtQ9SXaoRbu9j/MBfSMi/XG4/f2Nk2oUVceBlpKZVU00suwpVkk+GfG17yfi68bpjkfhFOlgxsbhKVg2u6PX56azsQ6Hc2CibdFAgJqe7lcHqJ4+mw+fexJD0xl32PeFoWmsfOgftO7ZyeyLLk8442/8816ev+s3XPblb5Lf87k3DYNwdzcr/30/BeVVuCfkoMai2J0uKidOZus7b3DGVTcM4q6cupimiWGa/O8nLmnnk+m25vjQE1VZc+eDT9e5HCeHCCHEk8mkFMgJWA7IIeSUlJzjdHvIzDgxCp3HzJzLmJ7Wg4enYM255Mo+KVgXfe7Lid+f+9MvGTtrXqIG5Onf/rTfIkEpFMLhdnPV7d/j1X/8lcy8AsbPW8D6V17g/WceIyu/IPFyf2jIMRoM8uLdv8Nms3HR577I6/93L6Zhcub1H+/3WlRFRlNk3nhgOaZpUlg1OiHCNmrqzGPeC7vdybgxNYwbUwP0pGq1NLFu2zY0RaUwvydVq7g4ZYrXhxONxVBiMUvRbIRSNmZcrcMmYEthO0aL1KBrqmDKYn0qxrbZ7NmpbNF5suJraaJ+84bEcvQQ3YDDU7Dcmdks+uQXEsub33yFwqpRxzyHYRhE/N1Uz+jtgGiKhK5pCKKApiq9WtDL0ShhXzeX3vaNXk7P+Z9a0mvS7f2nH6NxywbmXHI5k848F01RqNu4ltZd9RiaRkvPhF5nYz2rn3qEi7/w1QHclVMXVdPi7waCcMpNwAlQ6k5hY5Pjj0i4szPpkSzLATmEitrxozPcrhMiZmYYBrs/XIXDFS/gC8eLnRMcSMECiAT8lI4ZT8Yhs6hSOEx++bHF17qaGnBn9O0INuGMhWx+8xXOOSTkfoCd77/DmheeprByFJcs/TqiKLL4tq+zYvmfMHSNs246OB2i6zov3v075lx2NeXjJnL6ldfzwTOPJnJui6pGDyl6cWiqVjgapa6pkT0N9X1StXJzclL2/y0rCrFI6AhN5S3STE7h6GpXYUFhuu2wGCSmaaLrOlk1hU2pGN9ukmu32vAOmrFzTmfsnNMTyy/97fdA/LvK6fH0K+4HsOG1l+io38d13/7h/2fvrMPjuq69/R4YFGtmNGK0LTPbiTGJw8yJnaSQNlBu2ial297r9mt703CblJz0tk3DzElDTuyYmUGWJdli5pk5+P0hsGXJFpN93ufxM5qZffZeM5bOOWuvtX6r/TXTNDHNzvetm999nQiPDy0YpKGiHNM0aaiq5P2/Pkp81lgwTd585Hdc/u172693JbkHmXzOBdRVlFN3nPQ1QFxaBjXFRTTVVJM4LpsZF12Gwx1GfWUFb/3hfmITkph+8eXsXvkRjTVVnHvr1/nilWcw9TPunrrXqKqCJJ55zgeAieGTbfJouJXsFl3XMYHG+vr8gZ7bckCOEe1NSbcljpYGhIZB5dFj6q6h5qYObx+fggUQFhXTfkIuy89FDQWJzxjT7TKHt28mLqNzMXubek5TTXWn96qLi5i65GKmnndR+2ue5FQu+cY9lOTsB1oiNh/94y/EZ4xh8dKvgCiiBgJsfu8Ngk3NbH7nNUJNjdSWlfDZs//HuLMXkJiV3a29XRHudjMlezxTslsuhgVFhRwtLuHQkQJEQSTe6yHRH0+c19Nrub1ToWkagcaGU0sDWQwX16dOnEy8f3QITlgcQ9N0BEFg+XnnBbsf3XsESQyzZHj7j2mYmLqOrmotfWtOQAkFefsPv0cNBrj4zu+2NyRsOVZHP0Gooa6ijNwtG7ns2z+k6OA+Nr/7BoIo8uZj/0vG1JntylefPft/rH31WS64/ZuMmXU2JYcOdGurKyKCmcfVKEZ6fSz95W+R7U7e+/MjqKEQV3z3XuxON6kTpnDkJGINFsdQVA0B8YzMABAkIXakieL0FVXTMFpESwZ8w8c6yx7j5sypM/DEjI4dUVGWO0gNVhzJZ+W/nwLAxGTWpVfhS83odFxVcSGf/msFkxYtaVfyOJmb3lxXS3l+Ltf86JcU7t9Dc20t0XHxrHz6ScryD3PJ3d/jw7//GV3XmHLuhZhmi2PS1lhqz6pPO80pCCJ7Vn1KysQpLF76VRLHtjgVbzzyWzRVZfLi8zE0je0fv8dFd3ybz579B8UH95E0bgJk9ecba0EURTJSUslIaQnFV9RUk3fkCNv27kFTVWKiY0geoFQtA2iuqanqv9UWg8ClyeMmjLqGoxYtvQVESRq0nVXBxCXLVgpWfznrqhtwhIVjd7lYdHPnIgC7w8nipV/u8jo185KrEU/4P4jy+bn5F79FlGWifH7GzpnHjo/fJ3Hc+A5znHvr147ZcHXf6zXaFOUuuuNbHdTlFtx4K9O62Hiz6IiqaoCgDLcdw4EgiD7bKRoyjyZUVUNrqTG2UrAGDUm6NDY5ZdQUoJ+Iaei0pVyZhoka6pz5s/6Nl8nduoHx8xe3a/hDS/2FaXbWrF7576cYM/ts3JGRfPjk6wQaGsjZtA5nWATX/PDnOMMjuPD2b/LFS88wZuZZTJh/DiW5Bzp1V+7SXtNodz4ArrrnZ4iiSHHOfj575v8497Y78KVmcMld3+OtP9yP7bic3oHEFxOLr1VStKmpmcOFRzhUUNCeqhUf5yMhLo7Y6JhepWqZpgmCQGPN4EiFWvQPp8s9xxUdTWTE6Go4atGys4ogDNrOqiCIdqsGpP8cX2+ROHZ8l2O6cj6ADl3Mj+dE+dvjr2ODxfHORxvH97Ky6BpVVxEFc8B7R4wGZEmKOm0cEF0l1CIokTfQc1sOSCv+1LSzJEkasgLlgSY2MaW9yPyC279JhLezFvr0Cy5h5iVXtDcHbCM8OqbLgrpLv/XD9vqLa370C+oqyijav7e9lwBAXHom1/24JXc3KTKSpOwJfbK/bZ3EseNZ+svftV9oIjxebv7Fb7q8CAw0YWGdU7WOFBdTUFiMKZj4PR4S/X78Xi9yNykaIVXFUFV0XS875UCLYSEua0yyXRQHNOXOYmhQVRURBm1n1cC0W8IEFhb9Q1E1DNMc8N4Ro4Tw00XKW1VVQs3NAAN+L3N6fEMDgC81My76OG370YZstxOT0NJQ7WS7R8fn2B6PKMv4UtM7v35C8XeUzz8kWv8n7nINhfPRyYaTpGrt3L+/pQ9KRCTJCQkkxsXhdHa2T1HUNhnKwe8Ca9FbEuJSM+Q4X9xw22HRBxRVxYRB3FkVpO42GCwsLE6NpmromGdmrpqJ02Y7Pc4hiqoRbGqEQWgncHp8Q/0nKz4zU0xMGNqOyBajhw6pWoFmDh85wuGjR9h98AAOh4Nkv5/441K1FEUh2NQAg1C4ZdFvbkmfPA1/nFWAPhpRVRUMo/s8zz5imIZoRUAsLPqHoioYqn5G1kCamLLtNOklpKpqWz+zAcdyQFpYlj55OrHR0cNth8UoIMzVMVUrv7CQo8XF5BUWIQgC8T4fDpudYEMjDELepEW/uTA+a/Q0HLXoiKpp6AaVgzW/YZqiVQNiYdE/VE1DkqULfv7yO00mNGi6UWVoeokAhQZCoSgZBbrJQUkL2/fQly8u737G0YNpINlPFwdE1wg0NQ6K6IflgADO8PALIuP8OG2nh2yaxdAhiiKZqalkpramalVVcvjoUUrLK3C2dNg+OKwGWnTCHRk13eF2E+52D7cpFn1AUULopjFoDgimKVgpWBYW/WPi2LFkpqaKoZDiDioht6Io/qASmhgIhlAVxQwoCqFgSFCEAPc+/waSKJqSKKqCIAYN06zXdK0Q1SjVRaPEUPQVj91+0/bh/kw9xTAM4XQpQg82N6MEg1r3I3uPdZYFUidOnSVKIp9uWIdsk4l0u0mMjyclIQmbJcdo0Qt8Hi8+j5fV69fx/vtvmcDe4bbJoiP+rDE+p92OIJwWfaLOOEKKCsLgRUBM00SSLHECC4v+YLfZsNts0LXQYIeTr67rBJWQEAop9pCi2hVViQyGQsnBUIiislIU1Cpge1/sWP63t72NEdo7gk6JLlMo6NJBU1ByXaK667fLlg14ivTylSudjcW1SKfJvWNzcwA1GBoU0Q/LAQExwusNj4/1MHvGdKpr6iirrOBwwRH2HMhBliXCw8NJjo8nJT4e+TRRNrAYXGpq6yjPzxu8XVqLvjLVn54lxvvjh9sOiz6iqKqJaQxKysZ333svkhqlkwCHhYXF4CFJEmEuN2GuzlHp6ppaU9WUI10c1iMaI/UsUZDOSktNIhgImYFQgJBiJxRShHufewNJEk0RURVEMYBAlaqGjpo6R0yBAkMwDzsMc7fTru9bftNNjT1Zr76sOVWWpF7J9o9kgqEgqqoMSkNl624arsycMoOE+AQkUcLnicXniWVydjYhJURZZTXFZSXsOnCAPTkHkQQRb0wsyQnxeGM9VoTEohMhRUEzDEryc9cPty0WnViaOWUaPu/oaDhq0RlFVRCQB0VdzlnW7BddViquhcVIIaiq6ILQ5yZ4miEkhbsc5tTs8QInRl4MnZCiCMFQyB4KKfZAMBgVUtTMQChIMBg0g8EQwVBIaNQ0fvzCm4iiqIuiEBJ0oUFDK1d1Pc80KZYlKWQYHNVDoU9sajBJdDoIBEM47LZRv5mhKAp6KDQocsqWAwI3JIwdR2xMdKc3HHYHqYkJpCYmYJomdQ0NlFdWUlxezqadOxFFEUkU8fu8pMQn4omJQhQth+RMp7q2juqjBaDr7w23LRadWOxLy7A6oI9iQqqKaBqD4oDoTtMniafL3qWFxehH11RBDuh9FnOxmWaC4ySZK5Io4Xa6cJ/QG62VDicCRVUJhhQpFAq5g0rIHQop/kAoMCUQDJkVVdWCJIHN5UYzNHRN55O1axAAQRBaHiURWZJxORw4HU7cDidOt5Pw1npEh90+Ip0VTdNQQsFBUTM74x2Q2MTkc2wOB2HdFKQKgkB0ZCTRkZGMy8xEUVQqaqooq6iktLyCkrJyDNPEbrOTGBdHvM+HJzbaanR2BlJZXUnuru0ALw2zKRYnkJidPdXmdFFRVY03NqbLkL/FyEZVVUGX1EGRtxZNm0eSZRNOmwwKC4tRi2ma6LpOQZjR5wiIiZ4kD0BPjmM1LWEnviV8snYtmampZCS39GDTDR1V1VBUjVAoRCAUQtUUVFUjGFIIKUHKaxoJlirouo6qtdR4i6KIIAhIrc6KJEk47HbsNhtOhwO3y0l4WBgR7jBcTueQ1DFqhokaaByUDZ8z3gFJyMpOigoL7/XVxm63keSPJ6k1l7wp0ExpRSWFpSXkHT3CkdJiDM0gzO0y4/1+wRcdgycmekR6uBYDS3FxCeX5uQpwZjZhGrmIkR5/uCSKHMzLY8f+/UiSSFxMDH5fHN7YmJPthFmMIHRNx5Sdfb4hOeXcGF6bJcFrYTEiUFUNQRB5+aab+lwEbZqCzzHIilSGoWM/zsmRRAnJIeF0OLpyWDph0tpvQ1FQVQVFUQmpautjiGAwSH1DAxVVVSiqhqop6IaJJEnIgoAoSciSjE2WsLU6Kw6HgzC3k3BXGA6HA7fT2af7TwNorK3L7fWBPeBMd0DGJWVni0nJXXcO7w1hLjdZqalkpaai6zrVtXWUVVVQUl4h5ObnkycUoBkG0RHhZmJcvBAbE0VMZJTlkJxmmKZJs6JQkptzeLhtsejE+d7kFCEjJYVJ2dlAS4f7wpIyDhXks2P/PkRBxBsdjd/nI87jwe2yHJKRhGEYmMCjN15RMhjzi5ixlgNiYTEyUDQFURT61YPClPDY7PZBDRVouoFd7nvtmMBxERa6d1ig5V6jzUk55rQoLf9CIRobm6iqriakKjQFAsiihNvlNl1OB06HQ3A6HLT9s9lknA4HLkdHJ8WkJfunpujooKh5nukOyFczJk/D20X9R3+QpOOK2cdl0xwIUF5VRVlFBeVV1UJjc76pH9bBNISYyCgz3hcn+DyxREVEWNKgo5yGpiZCjY00VFauHG5bLDpxbfrkqXhiYtpfOL7DPRxzSA4fOcqugwcRBQFPdDTxPh9xXo8VIRlmFE1DFCUToX83JSfFFKNFqweIhcWIQFFURElS+zOHYAgxjkHu8WYaBnb70Pb9EAQBp92O026nO6fls3Xrzdq6hr83qPU5NQ1mhiCQKCOlipIYJwpSpIHhNA1T0nVNkCUZ2S6bbocTdF0wDYOmhoacwfgMZ/SZ1hkWdlG4x0t05OB2RHa7XKQnJ5OenNxWzC6UV1VRVFpm1tTXCfWNjcaB3FxMDDE6MsqMj4sTfLGxREVGWonIo4ya2lqKc/YBvDzctlh0Yp43Oe2Uf+9dOSRHCos4VJDf7pC0R0gsh2TIUVUVUWBwnA/AFIm2nSYdjC0sRjuKqoJphvozh2wTPTbb4EY1DdPENoJbNAQ1BQnz3Qduu/aNU41bvny5XD1+9ngxoIwLhgJj3//LE/dLLelrfRYBOBUj9xsbApKyJ02yy9KQKld1KGbPyBAUVaWiukosq6iitKKMuoZG6hrq1X2HBVkEIToyyvR7vZZDMkooLi0lf/dOE/h8uG2x6EiMP36sbJNxOp09PqY7h0QSRbwx0cR5vFbK1hCgaiqIwqB05QUQdaJkSwbLwmJEoCgqpmn0qP/GyRAFcdA3FQxdxz7IUZb+oCu6IMpit3Vzy5cv14Ddrf/cwP2tbw1KyuuZ7ICEx2VmOhPjE4bVCLvt+GL2SdQ3NglllRW20vJys6a+nvqGBr2mrk7dfyjXKYoInphYM97nE2KjY4jsQXGTxdBSWVVJ5dEj9TB4u7QWfcLtTUkLC++n6tXJHJKDeXns2r8fWbbhjYnC5/Hi93hxuXru7Fh0j6KoiKbYrx3RUyGYRAyEYo6FhUX/UTQFwzT6JQFrQvhgRic0XcOEEd35XNM1wpWa3kYxMlsfDQbpfua0OtN+/etfn/H3v/99W9vzG2+80R4TE3PDihUrnuti+LKsKTOJ8/kozz+MIAr4UjNOOve6119k8uLzifB4e2RLWX4u/vSs9udKKIip66x64V9c+LVvdRpfU1LEkT07mXbBpUSGhzE2PV3Y9tH7VJcclWOnzZXLKitNTdPNiqoqvbKmOmBCuNnQIPhT0/D7fPg8sZQf3Ed5fh5nXX1Dj2y0GFhUTUczTUoO52wdblssOnF1fNZYEhMTB3TSUzkkO/fvxybb8MZE4/N48Hu9uHoRfbHojKpqmKY+KF15AQyBCJtkpWBZWIwEQoqKbprl/ZlDEHDaB1EFqzkQYCR3Ptd1HVMwWX777bW9PLTthrhfNTin4rRxQO6+++6JpmluuPPOO+c6HI46AEVRrjZN86ff+c531rWNKysrK3r55ZcVJOkqb1o6sdHR/OfZvxOTmHRKB0TXND78+5+4/sf/w+GtGzmwcU2X4y6+47uEmpv5+P/+wrizFjDn8mtRgs289JtfcPUPfk7l0a6jYLXlpeTv3Ma0Cy5tfy1j6nT2/ulhEtIyueScc4S9OYcoLC2RoyMiIwr376Zp9xYE96WBiupq3cQMMwMBoX7zOtwp6WRNmGSlgwwxNXW11JWUoIVCHwy3LRaduDxjynRioqMHdZFuHRKbDb/HgzfWQ1xsTK/SwSxadkRNQRg0eWtRlCJkSwXLwmJEEAopoPfPAcEU5cGMgDQ3B5FHsHCFoqotwh29J6X1cdAiziP3W+sFy5cvdxYXF68G/ibLcpSmab9rfWuhKIpFmqb9qW1sdHT0PXffffeShqamS4Pb1vFhzi7qqyrQVIW3Hru/w7zTzr+YtCkzWia68VY+/sdfCDU3kTlzLlFx8dRVdPy7SJ00FVGWcUVGcsld3+OTp1cwedH5HNm3E0EU2frhO+iaxpqXnwUgbcp0vMmp1FeW01Bdha5rlOfn4o6KoeTQfpRAkKTsieRt34Kp6xwtKyNp6gymZI+nec8WiIomwS66Sg7lUFeQixAWhhgWYe768B12ffSuYDTUkXXFTSQkJ1u7r0NAVU0Nh3dtA3h+uG2x6MSc2KSUQRecOJGTOST7cw+xfW+og0Pii43F5XQMqX2jDVXV0DStcrDmFyQhSh7kglULC4ueEVJDpiFQ2p85DNOQBjOtMhAKIA+xAlZvUFQVSRT0Phzali4QGEh7jmfUOyA33nijvbi4OA9YJYriTiDGMIzDoihmCoLgMgyjRGrd0TIM47Mnn3zyIHBw+oWX/vnmpbfTvGszrogIzr/9m7z+4K8Zd9YCppx7YYc13v/rY6jBIACv/v5X3PDzX7P+zZdxuN1E+1tqSHI2rycqLp4Ir5dVz/2DhTfexk0//w0A+Tu2kjF1Jr60dIr27yFhTEsPggiPl+qSYja/+zpKKIjS3MT6N15m3Nx5bPngbdKnzMBmdxAd56emrISKHVuYd/HlGIZB0YF9xKWlc2TDGprra4mOT+SCO79LVW2NUFFdQ0V1lVn20VtCeXWVVtPcbOw8sN9uk2z4fR68MdbNzmBQVFRE2eHDGjAoXZot+k60PyFdklsbQw0jxzskhmFQWllNSVlJJ4fE7/Pii/UwmKkDo5FQSMGgfznhp0IUCBvJu5kWFmcSqqIgCmZRf+YwDEMczCL0QFBhsBsd9gdF1UDoUxpVfOtjw0Daczyj/kz78ssvK1//+tfvCA8P3xwIBAoEQbgRuC0+Pt5bVFRUIYrio6Zp/s40zf8F7gMeAM5JmzhFaD64h9rSEq6575eIosil3/whb//x92ihEDMuvqJ9jUu/cQ8AWz94m+JDB7A7WiIJNocTV3jLjqootDRvsTucaKrKG4/8jqvv+RmaqlBbVsqFd3wHNRhg83tvkjljdvvcUT4/V93zUwp2b2fHxx9wyTfvobm2BkEQWHDjre3j6hubyNu5lajISLZ+8DY2h4OFN36Jlc/+ncnnXkDOxrW8+4f7cUdGggl1FeXChV//NqbdKVfU1VFRUWk2BpqEwtIyvaS80jA0zSbbbPi9rTc7MZ4h17E+nTCBxkAzpXk5hcNti0UnvL60dHuEu38F6AONKIokxnlJjGupKzveIdlzMIdgaBc2m/2YQ2L9jaKqqikaYv9SMk6BhOiUJKs5rIXFSCCoqpiacKSvxy9fvlxuNIxBlcgNKcqIPi+rmoJoin2JYsS1PtYNpD3HM+odEIC///3v7951112HTNNcs2LFirfvuusuiouLbxUEwS4Iwjm6rkebprlQFEUTYPbs2b+K15qpK8zHHRXFe396GFGU0DUVX0oaeTu3krdzK9MvvIzM6S3OQmNNNXu/WMmMi1ockxkXXU5NSXG7DZPPuYAoX8uNxCV3fY+9q1ey4e1XiE1MxhURydYP3sLQNAxdZ/N7bwAtnSzHzZ1PlM9PXVkpDdWVvPvEQ8y8+EpM02xP1QJobG4GE5rratm75jOyz1rAG4/8hmXLHwAgf+c2UiZNZep5F6GEgrz2+1/hT0kDIN7vh3HjBE3Tqamrk8qqKqSKqhqzvqlBKCorNUorKw1N02S7bMPv8xLn9RAX68VmqcH0mKbmZtRQiOriolXDbYtFJ5YlZo0jaYAL0AearhySorIySsrL2JtziEBwd0uEJNaDP+7MdEiCioIJZYM1vyHgkKwIiIXFiEBTVcEumvl9Pb4heUqSJAqD2uA5pIZwj+D0dlVRMQy9L1GMttzh2gE0pwOnxZn27rvvftkwjExBED4AEEXxu4ZhJAC/MgwDQRAeb/0FfAMQJ0ycOF/2+rnum99HOknB4a7PPmL/utWkT52JGgzwzhMPArD94/eQ7Tb2fvEZzvBwAvUNONxuRFkid9tGrvr+TwGYuOg89j+wmsXLvookyeiqws51H5E1Yw65WzYy+ZwLACg5dJB3/vggNpeT8JhYrv7BzwFY8/Iz7eldAA3FxQgCBBobGTPrbDJnziV368YONudsWkfRgT2AQHQX8sKyfKxDOyDouk51bZ1YWVsjVlZVmdV1dUJhaalZUl5uaromupwu0xfrFXyeaMsh6YaaujpKc3MAXh9uWyw6cWH6lGlER8d0P3IEIYoiKQkJpCS0/C135ZDY7XbiYmJbHJIzIGVLVVVMkeLuR/YR07TZrCJ0C4sRgaYZaHY9t8/Hu4WUwf57VlUNR+TITWdXVA1DoC91c9GtjxUDaE4HRv0d5Xe+850MRVGmAu8D3Hnnnd8CrhDFljC6rutOSZKCrT8vueuuu3JX79ovXDp5Ju/88fdggiCK1FeWExHrxTB0REli/LxFXPbNH1BXUcb7f3mU+KxxlOflkn32Qppqa3CGR3DpN+7h9Yd/w5wrriUuPYsXfv3TdruO7t2NIywcURSZtHgJVcWF7Fu7irQp0ynJPcikxUuAFnleT1IyzfV17Pj4mHiSCe1jAI589hnnL7kIT1wcnqQbqSoqhBOE38KjY/Akp7Y/15Qgsv3knrkkHeeQZGUJhmFQ39golFdVC+VVlWZ1ba1QWFJsFpUWm7phiGEul+n3+QRvTAyemFhsI1j3eqgpLy8nb9cOgPeG2xaLTkyLTUgiJjJiuO3oF6d2SHIJBndjs9uJi/Xg952eUcyQpmLI+qClOZoIkqWCZWEx/Oi6jonJozfd1GfVO7shJtlsNpMTb5YGEE1VR3QX9JCqoGtqXxyQtgvmoEWcR+631kOeeOKJPCD7rrvuehPAMIxVYktr82+53e4LmpqaDhqGkWaa5ndN0/Q9+eSTwXNvu10et+Ac1CO5HFi3mpt/+Tte+PXPmH/DLXz41BPMu+YmMmfOBVpqNBbfejsR0R7e/8ujTLvgUg5uXMuBDWt5/6+P0lxfx4Y3X0F22DGNY71adn3+ERlTZ7Q/P7RpPTEJHVNAqooKcYWH40vNoGD39vbXDaNjz5dAMISmafh9vk6ff+/qlVQVt9Q8R3h8pE6cAsCn/36KsXPmEeXreWhQFMXjurSnC6ZpUtfQIFTV1goVVVVmRVWVkFd41CwoLDR1QxfDXG7T7/MJfo+X2JgopCHsKD/SKC0ro6KwoAlQhtsWi45E+xOSRFnGYR+5u1R94USHRNM0CkuKKaqoYOf+/aiqisvpIt7rIc7rJToyErvNPqjpCIONpqqCbIQGT+TBMCQrBcvCYvhRVBWhNW2+r5iYCY5B7uujGcaIToUNKQqCIPYlihHe+jgoXdDhNHBATkSW5RWmae4DEh999NGiO++881VRFBcbhuGTJOnOWbNmRWVOn0Xtvp3kbV7Hopu/3H5seHQs8665iXWvv0RdVSUzLrwMgMSsbBqqOjqQ0f749gjIWVff0CECogSbqSkp4oKvfRMATVHI37mVi+76LoH6Y/U82z58m9iEJGZeclWHuXd88gHh0cekO6trq7E77Ign3DiooSC7V33Cdff9gk+f/jvhsR7iWpsfigOwiycIQrtDkpWaKpimSUNTs1BdWyOUVJRTWV0t5B09QkFRkanruuB2ukiI8xLn8eGJiUI8QxwS3dBRDJ3SQwd3DbctFp0Y50tLl6LCw4bbjkFHlmXSU1JJT2mJgmq6xtHiYorLKygq34uq6hiGjizL2GUZp8OJy2HH7XLjdDlw2h04HHacdjtOh/Ok6anDiWYYKNHR+YM1vyEYwkj83BYWZxot8rFiX+Rj2zFFwW8bZOdAM3TsNvugrtEfVEU1TUPsSxSjbfe6Xypkp+J0ckAE0zSdwPSampqLYmJirrvjjjsuk2X577qui6Io3mKa5i2VVVU/tx/NpbRU5tJv/IAon5eC3dvRdQ1BFMicOZfwWA9rXnmOaeddhNgaWjNNE8M0Wn82qK8o59N/rUAAtn/8PrLNjmm2OOsb3nwFhzsMu8NJTUkRnzz9JBnTZxHjT8DQdEKBZg5v20xdeRkTF55HqLmJmpJiRFlm23/eYe+az7nkru+2f7CKqhoi3eEdPmyouRHZZueK79zbmmZlkrNxbWsNCCiBgZduFgSByPAwIsPDSE9OBqAp0ExFVbVQUVlllldXCnlHCikoKTE1VRPCw8JMv8cjxHm8eGKj25XCTjdq6+tprKok2Nj48XDbYtGJZcljJ5AwwgvQBwNZkslISSUjJbXD682BILUNjTQ3NdIQCNAQaKKiphpVU9E0Hd3Q0XUD02ypG3PYbDidTtxOJ263G1urnHHbP5fDSVvK62CiaTqiAI9fdln9YK1h6qZgpZZaWAw/iqIi9DOjwDRNn22w6+L0wVXZ6i8hNQSi1pcoRptX1WcVsu4Yud9aLxEEoRGodzgc8S+//HLj3Xff/S1Zlr9jmiaiKKLr+tNPPvnky2NmzvlHxMyzuOqyK4GWdKcNb75M0tjxOMNbUt7i0rO49t5fdpjfNA3szpbO4s6wCBLHZrNo6Vc6jHn78ZZC9ShvHDHxiVQVHuGTf60gOXsic6+8HgBPUjJjZs7lwIbVhEXHEJ81jg1vvkze9s3MveoGKo7kc9Ed3+pQy1FRXcWY9PQOayWOHc/Nv/htu4MUHushddI0xs9bBMDH//grtiFIOQlzuQlLdpOenCxAi0NSVVMnlFdVUVFZKRw+epSCoiJ03SAyMtyM83gFb3QMnpjoIblpGQqqa+so2LML4MXhtsWiE+emTZ5CTFTUcNsxYnC7nLhdTsB7ynGKphAIhKhvbKSxqYnmQICq6moUTUPTNDS9xVHRdQ1RFLDZ7NhlGZfThdvlwu104nA4cDkcOBwO7DYZh8PR52RsVVURhT519O0xRuv1wsLCYnhRNAUTmvszh2Tgscu2Qc051U1GdAqWomqIhtSXurm2nZg+iwB0x+hNBu4b9qu//+PQuLMXEBcbi9/nw+eJJdw9ctMzNE3jvc9Wcsk554zoMN/JCIZCVNXWUFpZTUVlJYqqIIkiumEQFRFOYlw8sTFRxEZFj9rc9M/WfMFLjz5o7Pr8Y2vrdKQhCGU/+MeLcZdfdCGOUfj3M1poi6qEQs00NjfTHAwSDIbaoyqaoWOaYOhGp6hKmMuFbJO7jarUNTTwxeZN2v03XTkoV/vl//hHdKMztubqCy4YjOktLCx6Qd7Ro+w5eCj390uvGNPXOe599vXPsrOyzhmflTWQpnXgrY8/5tJzzh2xgh/vffopuirNe+C2y9b34jA30NT6swQYpxjbZ0bmNzZ4XO0MD2dcZgahkErukSPsOZgDgoA3Opr4OB9xHg9ul2u47WynsrYWWbaNSucDwOlwkOSPJ8nf0lQzqCjU1tVRWllFWUU5+w4fanFIdJ2oyEgS4/z4YmOJiogYNQ5JbUMjZQW5g9YczaLvRPvjfZIkWc7HIHMsqnJqFEWlvqmBxsZGmgJBmgMBKqqrCSkKumGgaxq6aaDrBpIoYrfbcNgduJ0OQEQYxD2zeldcnEy/Us4tLCwGCFVVMXTtlNfVu++++9+iKL76l7/85Y3W52MTEhLyli9frgEIkujtKj1q0zuvMeuSq9ozSE7GmpefJXXSNFImTgagoaqSsJjY9s0RwzAwjJZNlZGKZugoEUZeLw/LbH00GCTnA848B+T6+KwxpCYm4nYeczIqaqo5UljEoYJ8dh08gCzKxHk9xI+A7sNVNTWEOUaOQ9RfnHY78T4f8T4fTBhPa3NEisvLKK2oZH/uYXLy8jAMg+ioSPxeX4tDEhk5IsN1wVAIQ9Moz8/7YrhtsejEQn96phAVMbrld08n7HYbXnss3pjYU44zgYbGRpqam2lsaqIxEKSxqQHdMAYvP8ps9kq2sEGV7LSwsOgZQSWEjnlKB8Q0zU26rr9w1113ZYSFhYWampp2lJSU/BD4K4AsyVE2m411r7+ArmosvOk2AA5uXMusy64B4PPn/4nNZmf+Dbd0mt+TlMyqF/7Ftff+Etlu4+0/PsCcK65h7Jz5ADQHg5j1tTy//Cc4wsLabEJpbsIRFt5mJIZhcOPPfj0g30tvMAwDw4Q/XH11b4vQ01oftYG26XjOKAckLi1jsWyzd3A+AHwxsfiOuyC2OSR7DuYQDLV2H/Z4h0Vbv6yqkoS4U+dqj2aOb444bUKL9nd1bR2lVZWUlpdzIDeXg3mHMU3wREUR5/PiiY4ZMQ5JdV0t5QV5AO8Mty0Wnbg+adxEEhM6N+W0GNkIQGR4OJHhx8Q3QkqID1evGbQ/e9Nw+KSRcFKxsLAgFFJMQexavemuu+563TTNbNM0EQShFtjV1NQE0GQYxvfuvPPO7wEfC6YZZpNkJi48j3cef5D4rLGMmXUWgiAiiiJVhUco3LubK7//kw7zf/bs/1Ff0eL7OFwu3v7j7wGQ7Xb2rVnFvjWrSBgzjrR5ixEFsDudXP/j/wHA0DSe/38/a38ebGzg9Yd+MxhfUbe0Kon1pW4upfUxNJD2nMiZ5YBkZvmje7AberxD0tbsq6i0tEVbX1Fxu1zE++Pwx3oHVW7WMA0aG5pImTx1UOYfiRzfHHHKuHHouk5tQz1lFVUUlZVQlXMIMBEECU9MNPE+H7HRMUQOk8xqRUUlebu2gdUBfSSyIH3SZKKtAvTTAofdgWnowg9eejvp0ZuuHHBpSFk0PfIIVrOxsDiTCCkKAl2rN61YseL673znO2279Kiq+k/TNPPsdvuvAAzD0P785z8f/dlFV98h22xExcYw77qlbHz71VYHpOW4T//9FBMWLCbS27HH2uJlX6W5rrb9+dpXnyM81sPU8y4GWnowuaOiyS8sRBZFQrpOeX5Lrbaha2Ca7c9DzQOvSNpTFFVDFMW+pFAltT72SwSgO86ks+3k5HETxOSklO5HHseJzb4UTaGopJSyiioKi0tQVJXI8DDifXF4BljdqbauDlmWCD8DehicDEmSWr7X6Bgmjh1Da3NEyiorKSorZfeBA0BLN3tvdDR+39DW8RSXllCeXxACBk0a1KKPCMK4qPhEoiMih9sSiwHC4XSYemNgPvDyQM9tmFqMbDUhtLAYESiKiqnRpXrTjTfe6A6FQs+1PRcEYbwgCONCoVB260uNwIUm2Jqrynnpzw/hDI/AFRbBW4/djyjJvPno79CUEIX793J422YmLjyPiYvOA0BTFVa/+K/29eorKqivrKCuvBQAm8PJBbd/k4CiYJNl1FCILR+8BYBpgmkY7c8NfVCF+06JqioICGofDm1LG2gcSHtO5Ew6234lffI0PDHR/ZrELts7aOsrisqRoiKKK8o4fOQImq4THRFBgt/f79qFqpq6ES3vNhwc3xwxOzOT1uaIlJSXUVRWzp6cHHYdOIAoCHhiYon3eQfNITFNk6CqUZLb6gVZjCTk2ITEKLm1kNni9CDCHU6gOTCHQXBATEOKsXqAWFiMDBRNRZL0ghNf//rXv54mSdLNHJd1YJrm1wVBqBAE4a221+66664fa4oiiZgIoshV9/z0pGt9+NQTBJsaAGisqaZg13ZSJ05rf//Q5vU4w8NJHj+5/bU9qz4lFO1BlmUcbjeXfuMHwLEUrLbnw5mCpaoqokiwD4e2hYTqTjmqn5wxDkhYRPRFYdExDHRBqt1uY0xGOmMy0gFoaG4k/2ghR4qLW2sXTDzRsSTE9T5VqLyqEm/0qYs1z3SONUfMJDuzRbihKdBMYUkpxWVl7MnJYeeBA9hlmdjoaOI8HuK9XpzO7hV7uqOuoYFgfR1NtTWf9nsyi4HmCn96FlGRVvTjdCIizC2UVUkTBmVyyYySJctZtbAYCWiqJpghMf/E1+12e5RhGBmmabbnNgmC4DQMwykIQvxxr4Wha4IsHrvN/eKlf1OSm4PD5UZTFdyRUVxy9/c7rquEaKqt7qCQpesamqoSaDyW6KArKqbLjV22oQQDrHn5WaBlY9I0jPbnutaXAMTAoGgahtmnKEbbjWfNQNpzImeMA5KYPSHbYZMHvclUhDucKdnj25/XNTRwpLiIw0ePtOzMH5cq5Pd6cZ3kRtgEquvrGZeZ2eX7FicnzOUmO7OjQ1JcVkFxWWm7Q2KTZfweD36fF1+sB3sfuqVW19Zy9MBesBoQjkSuSho3nsSEM68D+ulMmNuNXRbHdz+y9wiGdLiqplpQFNWKmllYDCOmaaIbOuEFu7uUjxUEIe14mX7DMMJEUTQEQTj+3CCqNVVIsohJSxqUruukT5nOnCuuI3frRvav61q8srGmusNzTVEQRbG9ML39dVEmMjwMQRSJ9ie02tIi5d32XFVClOQe7MWnHzgURcXUjeruR3YipvWxciDtOZEzxQGJ9GdmOpISkrofOcBERUR0cEjaFLYO5uWxc//+VoWtzjfCDQ2NCAh4Y2JONrVFDwlzuRmbnsbY9JaatWAwSGFZGcWlpZRVVqJqKjbZ1uoUenrskBSXFHN0724T6E2DH4uh4ay0iVOIibIiIKcTYWFuBFGK735k73n41qseve+5t7+8Yce26Qtnzxk1fYgsLE43VE1DEEXa+nkcj67rxZIkraDj7vz7hmFEmKb5S5vNdhTADA/PskVGXywIQnv/IFPXKc8/zOb33qCuvBTT6Kwy64qIZOyc+Tjcx9K2P/7H31BDQaYuuYTw1nsyJRhkX3EJMamppN/2NeKzWspPDE1j58oPmbR4Sfvx0y+4tP9fSh9QVRVN1/riRLSlCg1qf7MzxQG5LXPaTHze4ZezPVFhq7iigpLSUvYcPEgwFMLldJHgi8MwDWyybF0EBwGn08mYtDTGpLU4JIFQiOLSUkoqK9i9/wAhRcXhsBMXG0ucz3tS6eXqmlrKjxQMaojSom8IgpAe6Y8nyipAP60Ic7kwDd09aPMnhM+rL6uv2HcoN3zi2D43YLawOKMJKiGam5uJjIzg+BSonqIoKpLQtXrTihUrKoE3Wp+Kd9999xemae4wTfMZURQf1XX97BUrVuT+6J9vmrYw2QQE02yJgIyZfTalh3MAiIqLJ2P67E7zO9xh7Y0HDcPgo6eeICYhgYxps9n83htc+o17iPC03EseqKzF7Y4gPnFkSr0H1RAmQkUfDm2rFehShWygOCMcEEmSrvIkpxIbM7LkOEVRJNnvJ9nvB0DTNY4UlVBSXkZtQwNhI6gj++mMy+EgKy2NrFaHRFE1ikpLKSotYfeBg4SU3bicTuI8HryxMfg9XgzTRDcNyg7nbB5m8y06Ex2TmOSWRHFIe/ZYDD5upwtd18XlK1c6l593Xl+KK0/J8vPOC/7omTfOyj1SsDs2OkqI9/m6P8jCwqIDRwuL2Zt7CABREJAkEUGUsMkSNsmGy+HA6XIQ7g4n3O0mKjICh93efryiKSCdXL3prrvucgN3C4Lwc8MwdiUlJV20fPly7e677xZN09x55513Pm8EqzfLUYkYhkGbA5I8fhLJ4yd1mk9TFI7vP6opCgc3rWPP5x8TFRfPxXd8B1EUEQR45/EHSJ86kxkXXY5u6tjtHa8xmq6NiB5lAIqqmph6X6IYbTefRwfSnhM5I67OCePGz5UlEYfN3v3gYUSWZDJTU8hMTeH9lSvJSu2dZLDFwGC3yWSkJJORkgxASG1ROistL6e4rBxV3Y3DbidQX4+uae8Os7kWnbnRn5FFrNX/47RDFEVku91sKKifC6wajDUevu2avfc+/9rdW3buXHHu/HmEuQYt4GJhcVoSUBTiPF7mzZyBoqgEFYVQKESw9V8gGKApEKSqppagqqAqCpggSTKiJCAKIuh6lwW73/zmN6fqur4ZyAO+9+STTz7f9t7f/va3x++66673gGeat2/4in3aXEhOwOZwdGmnYRi88KufIIgS865fBkBtWQnv/ulhwmNimXvldaRNmdE+PvvsRSSOncAXL/+b1x78Na7xU7FNOaFPm2lgc46MzWMlpCAg9iWK0XazfGQg7TmRM8EBEX0p6dHemNGjJhVSQqi6TnxrZMRieHHYbIxNT2dsejoAiqqwafsOtu/fC/DCcNpm0SWXJGdPIN7qgH5aEu5yUBsMnc0gOSAADy277skfP//GReu3bbv+3LPPFqRBajZrYXE6ElJCOFqFHOx2W4uoQzcKoLquEwgFCYUUCktLKSou6bKD31/+8pedy5cvd3dVHwKwYsWKXGDevf9+436PL/bH/vQsrrvvv7tcUxRFbvnVgx1ei/YnsGz5AycVLIrweNsldt/9dCX2Eza27U43N/7s16f8rENFUFUwMYv7cGjbCa9LEYCBYnAloUYGF2RMnSYkJQ19AXpfqaqpxSbL2KymWCMSu81OY0M9BzetVRnkIi2LPjEjbcIUYiKtCMjpSJgrTDBFpgz2Og8su+bGYDB4dMvOPYO9lIXFaYWiKTgcvcs4kSSJcHcYnpgYwlxuDMHo1AOkjZM5H8djSoLP1ksb2uipWqph6NjsI/c+TdU0JJvU2yiGk2P5aEUDbFIHzgQH5KbEsROIjYoebjt6TGVNNWFhVth/pGKaJs2KSklOTs5w22LRGUEQkiLj4oiOHNiePxYjg8jwcERBmjgUa4WE4Izyqkrl8NFBTYW2sDitUBUNu63rtKceHa+q6JrRl+LpdkzT8NhledDKMQxANwzs8siV7NZUXTBCQn4vD2vr/WC0/hs0TnsHJNqfsMTudhE+im7oK6pqiIv1DLcZFiehrqGBYEMdDdWVHw23LRadSIlNTLZLgogsj9ydqe7Y/tF7aEr3NdafPfN36iuPXacLdu9g0zuvnfKYhqpKXvzNf1Gen9tvO4cDt9uFJIvpQ7HWozfdVK1q2mV7cnLM6lpL8M7Coidoho69HwIg/VBvakc0hdgT06MGkmAg2FqYPlJKzjvS0hBRJ/zw1t7unqS3PnYbZeovo/cK3UMSxo5LjXS5EASBXZ99hCcplcSx2cNmj6Fp1JQW40lObX+trqKMiBgPoiyjGzpNzU2kxlv56yOV6rpajuzdDfB8d2Mthpxb4jPH4BnF/XM2vvUKBzeto+jgPi7/9o9OObbiSD5q8FiqdH1lOeUF+Z3GbH7v9Q6vGZrKqhf/TdgJhfqLbv4K4SO8Xs4THYOm6bGDpYR1Io/cdu0nP3rmjf+3ftv2/z5/4YIRL2ZiYTHcGHr/IgOhkNJX9aZ2ZLvssQ3iJlRTsBl5BKssKpp60l4q3dCmfhQaaJtOZOR+ewNDWmLWWCkxuUXNqGDXNtRgsEsH5IMVf6SphztcqROnMOeK61CCAV574NeIUksgSQ2FECUJqfWX3jRMbv7l7zocu3/DGnZ/9iE3/ddv21/7z5OPkzFtFnMuv5baunpkWcY9iiI2ZxqFhYUc2bPLBDYMty0WnTg/ZfxE/P5B6VU36Gz/6D1yt23irKtuIG/HVj586gku+Nq3OuQkH1i/mj2rVyLb7IQCzax+8WnE1nqxUHMTaijEW4/dj6qEOPeW26ktK0EJBDj/q9845drv/+VRmutqR7wD4nQ4CHe7zYai2m8Ajw3Fmg/fds3/3Pf8W5eu37ptzuK5c0fsrqeFxUhA72dthKL2Wb3pGKYZbetBQ+G+EgiGsI/gOl1V0RAFoS8pVMmtj80DaU9XjNxvb2D4csa0mXhjWtKZTAQEqWs1k0vu+l6vJ7c7XSz97/9tf/7OEw+ROmkqU8+76KTH5G5eT9ass9qfF+7fgxoMMeviKwGoqq3toIdtMfKorqujvOBwv8LDFoPG5JTxk0ZdB3RNCfLp03+nuqSQ2Zddw4a3XmHquRdSV1HGK//732SftYAJi87D7nCSffYiss9eBMDLv/slsy+/lmh/S8T04IY1lOYd4rJv/qB97kBjA9H+BDa+9QqNNdUt66kKkiQjtDo2nqQUouL82EZJ76Ekv1/ICYa+xhA5IABhB7bOb5wwu3LvwUNRk7LHDtWyFhajDtMwO6lD9YaQqmH0sweFIOEezAhIKBAc0fUfiqogCkJf0qjadu8aB9KerjhtHZC77rpru6ppk6RDe1j5l4MAKIEADZUV5Gxc02Fs8vjJzL9+Ge/9+ZHWhjTgDI/goju+zefP/5PKowVIsowoSmRMn8WUcy/sk011FWXUVZTRXF9Hwa7tSJJMc0Mdkk3mld8vx+FyEwgGiExOgwUL+vcFWAwKgWAIXdMpLchf0/1oi6FGEMW4iLi4UdUBfe+az9n2n7cRRQlXZCT71nyOzeFkz+pPCYuORRAEDu/Ywu5VnzDrkisZP/+cDsdv/+hdpNadvkB9A86IjsX3xzffUoLNfPT3v1BXUcbVP/g5kd6WRnvrXnuBiQvPI8Y/OlI/E/x+cvILOncUG0SWL1+uffeFF2blFR45GBMTJSbGxQ3l8hYWowbDNLD34+ZfVVUETexfDwpDcNoG0UEIKkHsjpHrgKiaCqLYlzSqtu6r9QNpT1ectg7IihUrpmdMn9l0832/lC+/qCUi8c4TD5GUPZEZF17W5TE1ZSUs+5/fo6kKr/xvi250dXEhk885n+yzFrL21eepKGiRRTY0jYMb12I/rkmVEmimpqSIw9s2d3ht3NkLEUWRT/+1grGz59FUV0OwuYlJi5aw9tXnuem/fsv7f34Em9OJNP1s5kyfNlhfi0U/qaqtoTzvEOj6qSt9LYaDWd7kVEkWRWR59PRtiPLGMe+amyg/UkBNSWF7dKONTe+8xuJlX8WTmIxhdI6oz7v+FjyJLVHzPas+pWDPjk5jlFCQnZ98QM7GtSSMySbY2MDH//gLl3/7R3z8j7/RWF3JlFNEbkcakeHhiDZR+MGzb1396K1XvTlU6z6+dGnufc+8ccuWXbtfiDj7LCLCTt3bwMLiTETXDfqT/qTrmuB0NPerB4WJKdsGsUYjpKg47H1X+hpsFEUD02zqw6FtCkiDrrpx2joggDMuLcPt72Uzv5d/9wsuOCFXest7bxJq7pgOZxgGeTu3dHgt0NBA8aEDNNfXdnh93Nz5rHvzJZRAgDlXXU+woZ6Vz/ydta8+x4wLL0MURc659Wt8/M+/IgOjqWnimUZ5RQW5O7YBvDLctlh04kZ/RhbeUVaAnpQ9AYDyIwUEGhooOXSgw/u6diyK3pU+/ern/9mhBiTshPOHEgry8m9/SXh0DAtv+jI7PnkfUZJQg0Fe/t//Jjw6hht/9mvEUaYaluTzCwVFhd8FhswBAXjwtmte/NELb16zdsvWpefPnz+qnF0Li8FGM1rOV9JJ0t27wzAMdN3ggVuWFrFsWZ/tMExTGtQULEUZ0b2mFE3B1PXaPhwa3fpYOXDWdM3ouuL0jhuyps2kYtMaXv3PGwAEGxtoqK7k8LZNAExevKTTbmNUXDxbPnirw2spE6ew+7OPSJ86s/012W5v74bZxvPLfwzQ6fWW8Q7O+9IdiKKIOyqa879yF7s+/7g9nSI8JpaZN3+VfYcODVqBoxJsxu7sW3G7oWlomtLn408XSktKKM8/3AwMuvqORa9ZnDJhEnFxvdt0GEkowQBVRSemPpuIpzgnLGqNjkDXERC7w8kV372X/WtWseqFf5E0bjye5FR2fPw+4+cvJn/ntlHnfAAkxvk5Wlq6cDjWfnjp1ct++sJb87bs2p121gwrYm1h0UZTUwCpH8XZiqYhiZJJ3wqoj2EYgn0Qi9B1Tcc+gut1VVVDM82+KIm15S8PepPl0XfV6TlX+9KzaNq7hVmXXEnGtFkd3vzwqT9RW1ra6aDxZy9i3esvdngtaex4Cg/spbqkCPdJcssPb92IbHcg2Wwc3r6ZzOmzO7w/5/JrAfjgb39ACRyTzXzrsfvbfw4EmombOa/HH3DDm68Qm5jE2Dmdj6k4koco29pvTKoKj/DBij9y1fd/SoTH2+M12ti9+lP2rPqES75xT4/yxD/+x1+YdclVxCR03YG+ub4eQz+2s+uOikYURTa+9Qqh5iYWLf1Kp2M++r8/c+HXvtX+/PWHf8PCG2/Dl5re5RprX32e9KkzSBw7HoDD2zezf93qDgW6vUE3dBTdoOTgvp19msBisMkeP28R+YWFmKZJnNdLZHj4cNvUK+KzxrL45i/z1h/uZ9Li80mZMJkvXn6GNa88yxXfbdng+OKlZyhr7eGhBAN8+q8ViK27jZoSwjAMXn3gVwB4U9KYuuRi3n3iIaK8cVx0x7c4sP4Ldn/+CeGxHlzhkTjDwti/9vNOtSUjHU9MNOiG43svvDP5j0uv2D3U6zsDVdMrq4Wy3IICe1Za2lAvb2ExImkKhLBJEjUlRSe9/p8KVVURxf45Hze+9JJdV80+R2F6gmpo2O0jtwYkGAphYFT14dC2vNLigbSnK05bB8SfkbXIZpfRRRHTNHt8XOrkaaihAJvefaPD6/OuuZlDW7pWXVVCQda/+QqzLruKiFgfq57/B8njJ2F3dlaUueTu75907f+s+pyMzDE9trWxpgp3q47/6hefprqoEEEUUUNBTNNk2vkXtzsgnuRUfClpvP/XR7nhJ7/irT/cT7C5qUNKhy81g/O+dEf785d+9wtEUWpXypFkG5/+829w3G5s8riJnHXNjR3sWvnvp6gtKyXqFI7Km4/+FndEFIIoUl9ZztU/+DkRHi+aoqCGuq6bqjzasSZNV9V2+5vraqmtLCPGl4ArssVJrDiS1+6cBOrrCdTXozQ30VhTzZHdOyjYs73LaNXJqKmtp66yjGAg8EGPD7IYKkRRkmIEUSDJH09RaSkH8g6DCT5PLEnx8cTFehnMnOCBQpRl0iZPZ+Pbr7H+jZeI8Hg7qPQtvOk2oMWJf+ux3zFuzjymXXApAK/c/z+4w8I595bbO2w03PCT5ez9YiUf//NvRHp8XHffL3n/r48RFefn3Nvu4J3HH0QJhU6p4DfSEEWROK+HkrLye4GvDvX6y2+/vfaHz7983t5DuV9ER0YKo7n3jIXFQBEKNaPXVvDen9/iiu/dR5Sv64j03tUr0XWtk6jPxtdfQLW5jTvvvHOD0+m88PHHH+91MXS8YaQMdpNA3dD7VWg/2KiqZoqG2JcohrP1sXAg7emKkfvt9RN/RlZcTGQklYDZReHmyRBFkbSpMzs5IOlTZ1Ccs59gY0OH15vr63nvzw/jz8gk+6yWbICsmXN5/aHfcNGd3+mxqoyqaoQUhaT47pVVDm/fTHNdLU21NZTlHcIZFk5jTRUxiUmcddUNONydCyO/ePlZFt70JXK3bUKUZS6+83vox0Ugcjav58ju7R2OMXWDi+++p/1G5u0//p60KTO6vEk5unc32z58B0PXaKiuIjwmlnf++ECHMVd878fHOTwCF93xHVyRkbzw/352bNApThiCIFCef5iG6kp2ffYRSiDAp08/iTM8AtM0CI+OZdr5l7Q7IILQstbe1SspzTtEXUUZgfp6Pn/2/6guLWbx0i+fdK2uqKqpJn/HVoBnenWgxVBwiTclTbBJEuPHZDF+TBYAFTXVHCksYm/OIbYGd+NyOkmKjychLo6oyEhGUjcHTQlSUZDHaw/+GkmWueiOb1GwewcH1n/B58/9g3NuuR1neIvCVXn+YT55egWx8YntzgfAVff8hC9efIa3/nA/C2+8lbQpM9i/dhWb33sDV2QU869bRtrkaa0OeR2J4yYgiiIXfv3brPz3k0R6fKRPnTFcX0GvSYz3U1lfc9Vwrf/IshvX3vv8az/bsH3b/UvmL8DpGLlFqRYWg8m6117A0HXqGhoIKQqSTWb1C08TE5/YYdzUJRcT4fGSt2MLKRMmd5qnrqwUMT5FE0WxTlGUrwCP99YW2bAny3bZhME7xeu62a9C+8FGUUMg6Z3TfLqn7STWPxWyHnC6OiCzUrInCkmJyVTSUkS+/eP3OwwINTUS5T3hZt80UUJBKgsLjv3Wmia6rtNQVUl9VQWu1huAhqpKtn30Lkf37iJ10lQW3XzsZnbOFdch2+y898TDxCYlM/eK6/Akp7L21edP6gwFQkFCtbVsrClnzJyz8adnnfTDKc1N1JWX0VBdiWSzoQQCCIKIwxWGGgq1RxCcYeHIrTmKBbu3M2nxkvbdhrab9DYcXURrTowciaKEfBJZu5qyYmxOJ5d+4x4Mw+hULPtca31MG4IAnz69AlGW0EIhju7dxb51q1CamzExefWBXxFoqOemX/yWpuoq1r7a0nR85TNPMW3JJVzzw//i8PbNbHnvTbwpaRzetpl51y4lLDqGQH097/31UWx2B9s/fh+bw9EyfutGdq/6FDUUJGPqTNImTz/pd9wVRwsLKcrN0YHcXh1oMRRcFZ+R1UnAwRcTi6/1NVVTyDtaRElZGblHjiJg4vd6SPD7R0R0xJ8xBtnuZOYlV7RHT32pGUw590I+f+4fNFRX4QyPYMfH77P3i5VMOueCTpsBdqebJV+5i0NbNrB3zeekTZnBmNlzSZ4wub3BYGNNNe8+8RATFp7X/nfqSUrmhp/+amg/8ADg9/jQlN0xy5cvl/vQ8XdAeGjZdb+/74U3r1y3ZeuCc84+q0uhAAuL053D2zaTPW8hQiCIVl3JmNln01hdhaaphEVFA5C7ZSNJ2ROJ8Hipr66k6OA+inL2EZeeRaC+jobqSgL1dQiBZpthGBHALXfccUfEU0899btTLn4CkmEm2QYx/QrAMHRs/eh1MtgoigYIRX04tO2Lyx84a7rmdHVAvpQ2ZSqxMTG4IiIZf9GiTjUga195DtcJevk2pxMtGGTlv54kc0ZLDUeEx4vd5eLAhi9orKpkzuXXASDZ7AQbG7nkru/hSU7tZMCMi69g7Nz5LTuPrXUj0fGJmLrepcGhygocSET7E3CGnTpvffz8c9CUIIe3bybK52fS4iUc3beL3K0bOLx9E2FRMTRUVzHjwsuYuOg8AERBOKnzcDJMTkhdEwT2frGyPRVNkmUu/8697W+rwSDl+V3fm5/oeJnA5HMvwBUewSf/WkHKxClMXHQenz/3D0zT5Nxbv9Ze1L/j0/8QFh1DfWU53pQMxs9fDIDDFYYSDHBoywaWfOlO9n6xEkm2IYoizrBwdFXF0DRSZ8zmrcfub4/OyHY71cWFvPXY/fjTszqlkHX9XUBDIEBpbk6/miNZDBpntxSgnzyCaJPtjMvIYFxGBgBVNTXkFxay52AOW0K7cTudJMT5iI+LIzYqesi7XY+dM4+xczq/7nCHcdEd32l/Pmnx+UxZcvEpb3THzDqLMa0NT2W7k3C7s/298JhYbv5lr67nIxZBEDBMk+FyPtoI27/t3KYJsyr25ByMnpI9fjhNGRCCQYXq+lqsXicWPcUVGcnMi67gpQd/jamqzL7sGja98xoH1n9B9rxFzLn8WioLj2B3uSjOOYBss3PpcfWYG99+FV9qBrUVFeB0BYVA8zrgyJNPPvlYb20xRRIcgxydMAywj+CU3pCqImhSb+9XnByLGg36vc7I/fb6gTs65gJnRBRR4eFc+o17uhwz/4ZbOr12089/A8Ctv36o/bULbv8mAGmTpzP7smuOrREZyUV3fPuUdoTHxHLurV9rfz5xwcmLPCs2rGesx8uEMT2rAdm3djUAeTu2MGH+YgRBIHHcBOrKy7jqnp/y4m9+jj/j5FGUvjJx4XntTs2JBBrq2f35J12+d2L/AgGBuNRMXJGR7TUmAKHmZiI8ng5jq4sLOefWr1F6+BBLvnI3nz3zd4oPHUCSZKYuuRg1GGTVC/9E1zSSx0+iprSYGRdezs5P/8PMS65k7Jx5JI+fxKdPP0Wkx8eV9/y017uUjY1NKM3N1JQUd/0BLYabrJTsCURH9rwBoScmhra8fcMwKCgq5EhxCQVFxRiGgTc2lnifj3ifb0Sl1sgjWHllqAmpIWRJ7p9azgDQ2qRwdkFR0UFPdKyY6B+9N+75hYXsOngQTBPb9Gn4+iBaYnHmcd6X7+SV3/8PhmEy9cYvAS3ZIFFx8Wx6+zVKcg5wyTe+h93p5p3HH0QQRZ77nx8Tk5DIpMVLyN26kSu/9xPydu/AiIwpkepr/6lp2ufAY702xhD8gx2dMHR9RBeha5oiBFxqfi8PS299NFr/DSqnpQOSnD1+nNtuGzWhcNM0aWhoZNbkKT0+5uCGNUTF+RElmS9eegbRZiN5/GRKc3Oor6zA0PUuIzO9QWh1hCuO5GEaBpoSoqG6qj3KERUX36HeJNIXx5Kv3NXlXCemYJmY/OepxxHFlhSsNppqq8mY1jEH/br7WppCGrqO0txEeKyHyYuWEB7bemGMgrOuuhFneATelNT29JWt/3mbxtoa3nn8QeoqypBsNkLB5g61KUu+cld7asqpqK6rpThnH8BL3Q62GGrckiyHu2M9REVGdD+6C0RRJCMllYyUlr+ZusZGDh85ysG8PHbu34/b6STeH4c/1osnJnrUnFtOd0IhBRGGNfrRxuNLl+b+8OnXlm7ZveuliLCziQgfXU0KDcNg866dlFdWMXPSZHRdZ/2OnZx79lwi3KNLTc5iaGmsqea9Jx4mecIktLRxuI9THxw3dz4p4yfz8T/+ghIIIooizQ11XHLX9/nwqSfaN4m/MJ6hPP8whqZhNjWIpmme1WeDRMlj6MaghbBDioIggiiMzOuASUszSK/fk9/LQ9NbH4fknHo6OiCx/owxtqTE3su/DRe1DQ2Iktjjrrqlh3PQVJWY+ETi0jPxZ4xh1fP/JCrOT3hMDB8++TjJ4yf12y5D13BFRPLmY/9L4phsImK9NNVWs/vzT6g4ks+Ehed2yEGvKSnuICvcYS6t4++zgMD5X7mbCI+3vQjd0DSa6+pIO67fyon2rHr+n8QmpVBTVsKuzz8m2p9Ac10tiWPHE581toPymBoMsn/NZ0xYcC4X3flt3nn8IeLSMoiJb/ndcEdF9cj5ACguLiZv53YT+LhHB1gMJdd7U9OxSxKSODB5v1Hh4cyY2NIg0DAMisrKOFJYzJHCInRDxxvjISHOh9/rw+UcOdGRMw1FUTAFIdD9yKHhkS9f9/K9L7zxt7Vbt9y9ZP4CbKOkSWFNXR3rt24lzO3m/AUL23+n6xsbWL1xExctXoQsno63CxYDQXhMLFfd81M++r8/E8o/TK3dweZgALvb3bLJqCqMP3tR+/U2efwkVr/wL0LNTbz/10fxp2chCC1ZFLqmYSohzTCMxG6WPTnN2q+rpfpbd+3f75gyfuBTIpv72etksNFUDUEQWH7eeb3tV9amJ961FOkAM3K/wb7z5THTZ+L1jp6wcU1tLc5ehAvXvvo8kxadR3n+YaBFYjfU3ETimGyKc/ZzYMOa9r4jfUVTgphmS7qHIIqdIhvv//WxTsfEJCSeNOWtcxF6y+ZEc309pmGw8e1XCI/2EOmLw+5wdjr+6N7dhEXHUFVcyKxLrwZBpDz/MGmTp3F0324W3HgrDVWVFO7fQ/L4SQQbG9A1lai4eGpKi7E73Uy/4DICDS2KfjWlReRsWtupNuhkVFRXUXG0oI4hCEta9JrL/BlZg/Y3L4oiKQkJpCS0KNo1NDaSX1TIoYJ8du7fh93uINnvx+/1WdGRISakKJimUTfcdhzPQ0uv+cZPXnzngs07t2edPXPWiFJa64rdOTnkHSkgKy2dCVlZHWqfJmVn09wc4NM167lg0UKs32yLkxHh8XLdff/NB6tWMX3iRL548o/MvfoGErOyO42df90yGmuq+eBvf+DCr32bQEM9BzasweYKwxQEzObAZlEUi/WT1Mx2x8N3XF/wo6dezS4oKT5gmoJj6oTONvSH5lBgREvwKpqCKEl9uVdpc/qGZFNn5H6DfUSS5StiEpOJbe2PMRoor6okuhca8uPPXsTERefxaf4KALZ/+C5h0THsX7eanE3riM8cw1t/uJ+L7/peuwZ3d61QTlS82vze20S1dZQ2Tfas+rTD+2038scTbGrk8LbNXc9/XA3I2teeR1VC/OepJ3A4XaROnIojLIwD67/gkrvvaR9nGGZ7iHPnpx+QNessBEGgcP8ecrdtIm1yxw7Eeds3U3o4h+Txk9jw1it4U9KZf/0yVr/4L4B2YQGALR+81eOGjIqioukGJTkHNvboAIuhZlbqxMnEeX1DslhEeDhTssczJftYdKSopJSjpbtQVZXY6GiS4+Pxe724nJ2daYuBI6gq6KZZMtx2nEhzhDiT2vryQwX5jrFp6cNtTpcomsKaTVsJKSEWzJpNbHR0pzECMGvaFD5fv5G1W7awcFbPNmwszlwMvef9MUzD4N0/Pcycq64D06S0pBBT1w1TU2Tz2M1wn2hzQo5QdAABx9TxA+eEBEPBEV2ArqgaoiD2xXuLb31sHEh7TsbI/Qb7SNqkaXNlUcI+gvWZT6S6to6Zvaj/aCsCN02zJc1o3Wpkm40dn3zAhV/7JnHpWWx65zXeefxBZlx4ORMXnYeJia6pXc63/aP3yN26kbDoFicod+tGcrdu5LJv/7BlHcMg0NjR4TBO2JkwNA0lEKDk0IEu1zjeAUmfMpPZl13Tni51ZO9OVr/wNDMuvBxPUjKHt21mzavPtcsIb//oPZrr6xgz62xWv/BPqooLScqeyNyrbqDowD52ffYRn/5rBdUlRWRMn8Xuzz+m+OA+rr33lzjDIzo0G6wpKeLTfz9FqKmRuVfd0KPvu7qulqqiI+ia9laPDrAYalKTx47vVQH6QNEpOtLcSP7RQg4fOcKuAweRZYnEOD+JcXFWdGQQCAVDGLrRF637QeXxyy6rv/f5N845cOjwupjISOFEeejh5khJCTv27SPe42HR3NnIp0gnkUSJhXNm8+m6tWzfv5fp4ycOoaUWow3DBHsPMjo0JUSwqZGJC89riZIIIqFYv4kglImi+K5hGO8D9/THlofvuL7gvn+8MqWg6OgeSRBtE8eNGRB1w0BI6dFnHC5URQUTpQ+HtqlnDElU+XRzQMRx8xZEmKLIqo0bSPD58cbGEB0ZOeSSmj0lEAyiGzp+r6f7wSfgS0kjyh/P0v+5n9wtG8iaMQexdedhzhXXMeXcCxFbHbFxc+efVN7X5nDiS01n7pXXA5AyaSoRsZ72Jopj58zvoAAGEO1P6NBkMXFsNmHRMYydM6/LNY6XPE4c23EnInn85HbHCSB9ynQSx2a3N13LmD6LrJlzcUdG4s8Yw/zrb2mPXiRlT+Cc275GTVER/owxjJ07DyUQICFrXPvxxxPl8zN58RLi0jKJSehZnVB5ZSV527cCPN+jAyyGEr9kszncsbFERQx/oWyEuyU6Ai3RkcKSEgpLyti8exeapuKJiSExzo/f48XlsqIj/aW2vt4UTPPgcNvRFQ8tu2bDD59948cbtm1/cMn8BSOiVsgANu/YTnllFTMmTSI5Pr7bYwDsNhsLZs7m840biHCFk5XWP4ETi9OLnSs/5PC2TYiiRENTEx/vWA+CwMY3X0E8ri5Pstm4/Ns/AsDuCiP77IVMWrwEaKnxDIWCJqpSb5hmArBPEISC/tr24O035Nz3j1cm5RcW7jxUkOcURBGb3WY6bXYcDht2m0NwORw4HHbsNgd2uw2HzYbDbsdhtyN10U8kFAphc4xgB0RTEESzuQ+Htt2I1g6gOSdlZN6V950Lr/3Rzz684uZbME0orSinqTmAputER0SQ4Pfji40dUR2Qi0pL2J2Tw8WLFg+3KRYn4YNPPualh+8P5WxaZ90xjjzuic8c8+hXf/sQl19w4XDbckoamhvJKyikvLKSQCiIw24j3hdHmNuN3WbHbrdht9txtv7c1YXP4hjVtTWs2bLFqK0rjVhx9919udgOCfc9/+Zn4e6wc84d5iaF9Y0NrN2yFZfTyVnTpuHsQ3pgeWUVG7Zv4+wZ0y15XotOGMDbH33Eleef3+vf9dUffkCNJK2u+/S9n7tcrpympqZFdXV1b7388st92ck/KT984d1x6IExgiCkg5RiQqJgmgmSJMSLouwRRCLQceoYsq7rgoiILIvY7HbTabfjtDupqa0VXC4nyQkJrY6LDbvc4tDY5OFXYM07epR9Bw/k/u/Sq3vW1+EYO4EpwMvATQNvWUdOtwjIdUljxxPvjSMyIpzszEwAmoLNHCkspqikhIN5eZimiSc6moS4OHyeWMJc7mEzuLK6hohuGg9aDB+GYRBUNUoO7R+Ru6wWXOjPHDMqboYi3OFMndAxOlJcXkZNfR2aZqDrOrqhoxstPyOALMvYJbn1ImfH6bDjdLlw2R0tFz27DbutZaduNKWdDgR7c3JNwzSfHcnOB8CDS69a8pMX3ynbuf+Ad3qrstpQszcnh9yCArLSOxea94Y4r4ep48ezYcdOlsybj9uK4lkcRyioIAhCr2/ADcOgTrKjGeovV6xY8UXry68MvIXwyNLLDwI9vp4v/9vb3uYwaUxIaR7TIDWmYwhJNlOaFwwqEbX1daYgyzGCYbpMTLtpIuq6LoiChM1uM1siKS0bSw6bTXA5ndhbz9Vt52673YZdtg1olo6iqWhQ0YdD2/KYywbMmFNwWjkg4TGx5zrCwjrpr4c53UwYM6a9yV9jUzNHS4rJP3qU3QcOIgjgiY4lPs5LvNfbp52hvlJRXU1mWlr3Ay2GhbqGBppqa2isqfnPcNti0SVT0yZNwecbmgL0gUIURVKTkkhNOnkaoG7oqKqGomqomkJzIEBzIIiiKDQ2NlFRVYnD7kDVNDRdR1M1EIWWi1vrP6fDjt3uwO1w4nA4sNtkbDYZp8OBy+kcsTr23VFdW0ttfb0ZLinfGm5bukUQDOnfH0wtLCk+GhsdJaUm9qu2tle0FZoHlSAL5swmNiq633OmJSdT39jI5+vXceE5ljyvxTECwSakPkhP5x4pAFFoeHTpdZ8Pgln9YvndV1YClcD6nh7zg5deipVUM602pKbKpp5tSGKWaeo+yZTiZFn2CaIZZUK4YRhOE0Rd0wUEAZssYbfbTbfDiU22Ybc7BKfD1n7Odjoc2GQ7dpuMw24/qdOihFRM3eiLA9K2Gz4kwh6n1ZkjcVx2psvu6NaTDA/r6JDU1NVRUFREbsERdh04gCzL+D1e/D4PcbFebIOkdqDrOs2BACnx/kGZ36L/VNXUUrB7J8ALw22LRZfEJ40dT8wwFKAPNpIoITmk1i7sYXiijynlGYbB2598wkWLFrenapmmiaIqhEIqiqoSDAVobA4QCAaorKlGUVUUTUPTtJZoi64jCAI2WcZms+O0y9jtdlwOB06nG7/XQ2T4yIzO7s05ZOqm/uzym24aErWW/vK7L11Scs+zb960c9++V6MjIokcgnqloyUlbO9hoXlvmZydTWNzE5+t28AFCxYM2LwWo5vmYAhbL3/Pyior2X84z0SVLup+9Ojg0ZtuqgaqgW09Gb98+XK5cvLkMbqhZ6nNSlpTcyBFMMwEIEGUJD+S4JEEwk1TcJmGKRumIZmGgSzJSHbZtMstDonb6cRpcwiVtTWYmJV9ML1t972oD8f2mtPJAYmOS8u0JyYmdD/yBGKioohple01TZOK6moKS0vYfyiXLcE9OB2OlnStmBg8MbED1lyqpq4Om82GbQSrKZzpFBYd5ejBvQawZbhtsejEeNlmk11RUUNyQzeSqKmrwybLHepEBEHAYXfgsLcVO3cv7a1pGoFggIamJpoDAZoCQZoCQSprajmYn8f58+fjtI+s81N1XS219bVmfX3ZN4bblt7w2K1Xv3bfs2/+Ze3Wrd+8YMF85EHqI2AAm7Zvp6KyiumTJpCSMPARF0EQmDt9Op+v28C6rVuYN9OS57WAQCDYq1TQuoYGNm7fgYl5x4O3XdnjCMPpxvLlyzVgf+u/HnHX3/7mjoyIGGM0uTIDsplKAykCJGMKPkmW/IJp9qVpctvJ/kgfju01p5MDcnPG1Ol4Y/uXCy4IAnEeD3GeFjEA0zSpqKriaGkJO/fvIxgM4Xa7SfD5iPN4+yWtWVVTg/u4zt0WI4+6hgbKD+eWD7cdFl2yLC49E6fdPmpTifpKZXUN4QNQuybLMhHhEUR0oRi3euMmNmzbyuK5Z40oFcE9OYdMfRTUfnTFg7de/a0fv/Dm+Rt3bB83b9bsARdDqWtsZN3WLThsds5bMG9Q6xslUWL+7Fl8um4du/btZ8qEge84bTG6CCk9l6cNhkKs3bwFdPPBB2+7+v8G2bTTjtbz387WfwNFm09weADn7Hax0Y8kXeZJTiU2emBTMQRBIM7rJa61y7Ku65RWVFJYWsLR0l0oikpUZASJca0KWxERPb5Yl1dV4fX0vAGhxdDSHAygqhrlBXkjLi/VAoBz/Zlj8A1SB/SRTF19PZERnZ2GgWTB7Fl8uHo1+w7mMDF73KCu1VOqa2upq6sbHbUfJ6G2rnQGiJU5eXmucRkZAzZvW6H5mPR0xvej0Lw3OB0OFs6ew6qNG4mICCc9OXnQ17QYuYSUEPYeyNNqusbqTZvQDP39B267+sdDYJpF99g5poxrpWD1hvj0zHk2ST4u/WBwkCSJpHg/Sa11G5qmU1JRRlFpGbkFBWiaRnRUVHsU5WSSvyZQW9/A1GFSRbHonqqaWkpzDwK8Oty2WHTJxPRJU0eFAtZA0xAIkOEZ3OZ2oiiyYM4sPlu/kdiYaOLj4ro/aJDZe+iQaRj6c8uXjo7aj65Ycffdzff846X5Bw7nbo2OiBTi+tAD6ng0TWH1pq0EQyHmz57VoVZoKIgMD2POtCls3L4Tt8tN3CD/XlqMXBRV6yQCdCKmabJxxw5CoVD+A0uvumyITLPonvTWRwPQhmLB0yZvwZeW4YmOGtwdwa6QZYmUhETOnjGDS845hwsWLSLRH0d5VRVrtmzh3U8+ZcO2beQXFtIcCLQf19DYhCAJRHWR+mAxMigrL+fwzm0Abw63LRadEIHYhDHjBqwDumEYNNfXd3h+dO9uAI7u3Y1hGF0eU1U4JOmyHVBUZUjkuyPc4UwZO5bNu3Z1OH8NByXl5dTW1pl1DeV3D6shA8Bjt9+0XdeFH23cuYPmYN+/1+LySj5c/QVup4MLFiwYcuejDb/Hy5TscWzasZ3mQHBYbLAYfhRV6bYGZOfe/VTX1Ta4/BHW7uvIIrP1cUicDzh9IiATk8dmi4kJwx/+ddrtZKakkpnS0im2qbmJwrIyCoqK2X3wILIo4fd6EEQRxxmm2z/aKC0rpbwgrwkY0EZIFgPCOTa7Q3RGRBIRduodtxPZv3YV5QWHWbzsqx1er6so4+O//5kbf/7/2l9b9cI/ufXXD7H6padZ+ovfQRf1Xh88+Ti3/upBlGCAwn17OrwXnzkG90mkT1+5/39InzqD2Zdd0yv7ATRdJzxsaPoXpaekUFZZzbqtWzlv/rxhqbcpKCpi54H9pgJfHY21H13x8K1XPXrf829eun7r9gt726Tw+ELzqZMmkDoIhea9JT05mfqGRj7fsJ4LFy0cUNWtU2GYBhu2baOiugZJFJAk2RRlGbsgIslSq9CLjCRKgizLOGx2JFlEEiVkWUKWZWRRQpIkbDYZWZIQRXnAxGbOJHRDx3aK+5rDBfkUlpZostk0afl5V1me6sgipfVxyO53ThcH5LbUiZOJjY4abjs6EeYOIzsjk+yMTExacreLSssoLi+jORDiw9Wr8HvjiIuNxRMTg91uOSUjAU3XUHWT4oP7eySjZzHkXBuXnoHT3nXX2QMbvmD3558AoAQCTJi/mImLzuODv/6BhqpKZLudtx67H19qOvOuWwqAze5AOG4uURQRW1WmBEFE7EK1SBTF9vWVQIDSwzkc3r6ZcXPnU7h/D1kz5jDtgku7/ABqKIjUh5u0QFDBNPQh7Vc0Z8Y0PvpiFTv27mPGpElDti7AwbzDHMzNM1RBv/SxZdd+OKSLDzIPLr3qkp++9E7pjn37fD39XhsaG1m7ZQs2m23QC817y5TxrfK864dGnlfXddZu3UpVTQ0AhgGqpguEQgyElyqIIgIgSSKSLJuSKGKT5JYGobINSZYEmyRht9uRRAlREtr7NBz/XJIEJFE6Ze+G0wFdN7B30bagsrqavTkHzfrGRkM1lXMeWbbs6DCYZ3Fq2ppSDdkGz2nhgDhdrvPDYj1ERY7sdCYBiI6MJDoykknjxmKaJvVNTRSXlpJTkM+m3buwSRLxPh9xXg++GI/lkAwTNbX11JaXoAaD7w23LRZdMt+fOQb/SeoSss9aSPZZCwF490+PEOmNQwuFaKqrJXHceMbOmUegoY49q1cCsPWDt6mvqkAJBFj76vNoSojaslJMw2yd0eStx+4HYOqSi0mfOoN3//QIoiSgaxpv//EBss9eyNQlF5O3Ywtzr7ye+spTi6cZuo4S7P0mYEVVBS6Hc8AVlE6FCJwz52w+XvMFnpgYhqKZnmma7Ni7l8KyUiUgiLP+uPSq3YO+6FAjCEbgzTenFJWWFsbGxMhp3XyvOYfz2J+fR0ZyEhPHjO2zAuNgIQgCZ02fzmcbNrB+6zbOnjlj0NZSVY01WzabjU3NhyNydoxvlTIdUH7w0kuxUtAZBUZ0s6qmCqYeIYhGJKaYgCjGCabhNjDDRFOIRZA8NlkIMxEcgmC6QbCBIJumKRumIZqGKZiGAT1xamQZ+7HIDaIodXJq2p7LsjRinBpN17HLx4rQq2pr2HPgkNnQ2GDqhv58WELUHb8/7zwr8jEyiW99HLL6utPCAUnInjDZLrX8MY4mBEEgKjycqDFjmEDLBbe2vp6islJy8wvYunsPsuWQDAuV1ZXkbd8K8Mxw22LRJWPTJ0/DG9t1Aa+mKLz24K+55kc/p7Gmkrj0zPb3vClpbPvwHcbPW9T+WtrkaTTW1lCen8uYWXOJS88C4PnlPwFa/lavuuenHda4/Ns/BOCFX/+UK7/XIuSy8uknic8cS6i5CV1VMTk5pmFQVdT7+pHqunoihqFBoNNhZ+bkyWzduYvoyCgiuyk27Q+GabBpxw4qqqsbFUEY/8ebrxgSVZbh4A9XX11237/fvHLnvr3vR4eHE9VFTZOmKazevJVAMMj8GTPwxIxc9URJklgwq0Wed29ODhPHjh3wNYKKwuqNGwkGA9sfWHr1bIQrOxdoDQDHNZSDHjaV644TnRpRUJNEQww3BCIGyqmxyzZkSWxxXIbQqTGNlghIRVU1uw4eMAPBZl3Vzf87IoW++/LSm6xU5pFNW0fs+lOOGkBOBwdE9qWkueN8vuG2o98IgtCpKWKbQ3Iov4Ctu/dit0nEebwtDkmsp1dNfyx6TmFRESW5hzTAChWPPOxAZELW2JMWoMt2O87wcFa/8DSmYRIeE0tzXS0AU869kIhYL/vXr25PsfIkp+KKiEQQJSJifexZ9WnrTC0uhGnC5vfewNB1Ji8+n9ryUja/+wYAqqLw1mP3E+mLozQvl+t/8t98+OQTBBobmX/9LV3aV1NShGmaNFT3vlltQ2MjvtjhuQFNjIujMimBtVu2cP6CBYOSJ9+ys72Fpqam4pq6krGnS83HqXjwS1d/8OPnX39i3bZt3zl//gJsx6WxlJRXsHXPbjzRUSycNbvDeyey7vUXCNTXs3jZV5GPayC5/eP3qS46ysxLriTan8C6118gKXsiqROndjmPYRgcXL+aqqJCbE4n2WcvJMrn7zTu8PbNlB46iGy348/IIm1KS8TD6XCwYNYsVm/YSJjbRVrSwNVnNgcCrNq4EU1VP31g2TXns2zAph4SBsOpuffptzIMQ4zVnKpHaNbigoLqE0Q1SjeESEkQfIZJhIkRJiCES4IULchiuCQILsMwnQKiJAimbBqmqJmmgGkIpmkiiSKiLJmiICJLMjZJRJJkbDYZR0vqq2CXbMg2G7IsIUkyhmmybutWdBNVC6mPPHTb1T9HEAbFObQYcNrk62qHasHTwQG5In3yNOL9nU+Oo51TOSS5+Ucsh2SQME2TpmCI4tz9+cNti0WXXG1zOumuAH3etUv54G9/ID5zTKf3NFXB7nAy/7qWuxfDMDiyZwdKoJkt/3mbGH9Cp2NiW0Uu7C4niWPHc/Y1NxEe6+Wtx37HVff8lJVPP4k7MopP/vk3JJuN8JgYpJM05TqwYS2xiSk0VFVQU1bS5XonI6AEu5W6HEymTphIefUatu7eyVnTBzbFJhgKsXrzJjMUCu1z7d86bcUgpNWMVB5Ydu13f/riW0s27tw+cf6s2ZjA1p07Ka2oYHJ2do96bOTv2Iqmquz6/GNmXNiicGpoGrs//xjTMEifNpNofwL5O7aCSZcOSH1lBe/++WF0VSU8OgYlGOTAhjVkn7WAuVdeD0BDVSXv/+VRQsEArohIJFkmd9sm1r3xEld9/2e4IyOJiohgzvRpbNy5k4iwcGKjo/v9HTU0NrF640ZUQ3/poWVX39zvCU8THvryVXlA3oBNaJrivf9+O03UQ17VlD1BIeQVRMOPIUUKohkJeA3MSMEQwiRRihYkIUoEt6Hr8UFTefThm6/7MYJg8KUBs8hi8IlufawYqgVPBwfk2visse036aczXTkkNXV1HC0p4eDhPLbs3oPDJrc7JHGx3lPulll0TUNTE6GmRurLyz8ZblssuuRKf3oWLpvtlGkCvtR0JNmGzekCQLLZcLjd7bUcAO/95RFSJ07l6L5dhMd4sbvcLLzx1vb3d376HwAEATJnzO4w//o3X2Lc3AXomsaal59l0uIlfPr0k1z9g58B8PL//jehpgbcXURpCnZtY87l11B86ABb3nuDC27/Zo8/vKZqhA+SBO/uzz9m3FkLsLd+Z3k7thDp8eFJTu0w7tyz5vCf1Ws4fPQomSkpXU3Va+obm1izeROqrn704NJrLh6QSUcZ1bUlcwyTyp3797lKysqxyTLnzptHuLvnheauyChyt2xod0B2ffYRDpebYFPPUrv/8+TjiKLItT9ZjrNVJn7rB2+zZ/WnJI4dT/L4SfznyccxTZPr7/vvDipvB9avBvPYhrff62Vi1hjWbt3K+fMX4HL2vU9XTX09azdvRjf0Pz207Jrv9Hkii+4RBOOhFoemb07N0oE1x2JIaLuJPnXx4gAy6u9OYxISFssOJ2G9OEGfLgiCQGx0dPvOkmmaVNfVcqSomAO5hzs5JNERUZiYvbqYnYlU1dRwdP8egOeH2xaLLpkTnzUGXzeN8XZ+8gGiJFJ0YC+GpuFwh3Hdff/dYczKfz+Frqlce99/owWDvPvnRwjU17Pu9ReAlr+ptsf3//ooAMnjJzPl3AvbVbIEQSBhTDbuqJ6lRW1+7w0ESSRz5lxSJ0/n5d/9ktLDOcRndp8rbxgGqqYR5nZ1O/aV+/+HiQvOJXPGbHK3bur0fsb02bgjIwk2NiDKMnani12ffUTqpGntDsjeLz4jcUw2nuRUgo0NLfLh7jBk2c6cqdPYsG0b0ZERxJ5EarinVNfWsm7rVgxDe+LBZdd+t1+TjWJW3H1380+fefWc/MLCjfGeOOZOn9rrXPyU7EnkbF5HXUUZUT4/h7ZsIGP6LPat+bzbY+srKwg2NjD/+mXtzgfAzEuu5NCW9ez4+H1ckVEEGupZcOOtnSSms89exIlkpaXS0NjIqg0buHDRwj4VzlfWVLN+6zY0Xf/Nw7de+8teT2BhYdEdbWH10qFacNQ7IPEZY5PDXUOrCDNSEQQBT3RMezMq0zSprq2loKiIfYdyaQo0g9nSPDE6MpLEuHjifV5cQyjnORooLi7iyJ5dJtD9FdtiOEhLnzT1pAXoAEowwO5Vn7B42VfZ9M5rbH7vDeqrKmiuq2sfE+k9VjdmdzjRWhWpHG43k885H4Cy/Fyg5W9r0c1faRnrark51xSFPas+QZSk9uiIrmntjooS6Fy6cHTvbvavXcWSr7T00pPtdmZeeiUr//0Ul3zjnm5Tsarr6pBtco96LISam/GmpBFoaqQk9wClhw/hS0nD5nBSfOgA4TExpE2ZwRcvP9teH6OrKp/+62+IrfM31lTRXFfL0X27MU0TX2o6869vSVuL88QyNiOd9du2c8GCBX1O/yypKGfzjl0Yuv7zh2679n/7NMlpxP23Xb/pR8+9+u2K6oo/1Tc2EhXRO3VHUZaIjk9k23/eYcbFV9DcUM/0Cy7pkQNSlpcDQMqkzqlZkd446ivKKcnZD0DyhMnt761/42Wa61qkcMfPP4fEsdkdjp02cQLrtm5h5fp1nD+/d/K8pRUVbN65E9XUvv/Irdf9sVcHW1hY9JS2Xa0hE/wY7Q5Igj8jS04eAknI0YggCHhiYvDExFBaUcGW3XvMKdnjBE9MNBVV1ZRVVrIvNwdBEIkICyPBF0eiP+6Md0gqa2opy8+rGW47LLokFnD5M8ecsgP6f1b8EW9yKsnjJ6FrKrtWfsgV3/1xp3Er//1U+8+qEkIQBERZblfBapPhbStkb0NTFAIN9UR4fDTV1VKweztpk6czccG5zLj4CqAl9eX4HeK9q1ey9cN3mHr+JR1u0LLPWkh9RTnv/elhZl16dQd1rhOpqq4hwnnqCGbB7u0U7tuDoWsc3LgGV2QUF9z+TV749c+Yfdk1uCKjef2hX7cXDF9w+zfaj33/L4+y8KYv8cXL/yYqLh5vShq+1HTGzpnX5Vrjs7Ior6xg0/btzJ89u9e79fmFhew8cMA0TP3Wh2+71oo4tvLwLdf/+UcvvJm5ZvPmHy2ZN6/XPV8mLz6fta8+B0BMfCKyvWfH66oK0LWDKwgYptEeFTx+jBJsJhRoovLoEaL98Z0cEEEQmDttBivXr2Pjtu3MnTG9R/YUlZaybc9eU1PVux750vVPdX+EhYVFH2krWMwfqgVHuwOyNHPqdDyn2Am1aKGqtgbT0AVPdBRhLjdhye72osamQDMVVdWUlJez71AOoiQTHRlOcnwC8V7fGSX9G1IUdEOn7HDO2uG2xaJLbrK73DjDI4g4SSdwwzBImzSNiYuWAJA2eTppk6d3GvPGw78h0FDPrEuvZv+61Wz78B38rY4HtBTvmq357JLNhqYo7cpCG996BX/GGJZ85S72rl7JlvfeYs3LzwICBzeuRRAFJJud3C0buOr7P+WTf/2Nsrxcpl94GZPPuaCTzXOuuI5ofwKb3nmdSG9cpxu4Nurq64nsZkfc5nKhKiFku52m2hoqjxYw65Kr2t/fv/ZzIrtQNAK49Js/4MOnniBQ30CgvoH0qTNO6ny0sXDOXD5Y9TkH8nIZ30XBf1eYwP5Dh8gtKNB1Tb/4kduuteqtTuDhpVff+5MX3p72xebNF5w77+xedRZPnzqDda89T+H+PSy8qeeVwL60lt//4kMHSB7fsTFiQ1Ul7ogofKnpncYsXtoSHXz2v+896dyyLLFozhw+WbeOvYdymDjm1CmHhwsL2XPggKno5g2Pfen613r8ISwsLPpC2wkmf6gXHJVIknRpVHwiMZGnfwF6fymvrDQFQRDC3J3Vc453SEzTpKGpmaqaaopKStmxbx+y1JKylRQfT4Iv7rQubK+uqaWyIB9d198ablssuuQSf0YWbqfjpLvtoigy9fxLTjmJKIqcddWNRMX5WyR66+vxpaR1KLYWZZlbf/0QADf91286HH/2dceqLCcuOo+Ji84DWpyW5oZ6Ag31mIZOqDmAKMtMO/8SwmM8nXLmj2fsnHlkzTrrlDnyTYFmvJ7Yk74PkJiVTeHe3fhS0zF0vf0zmYaB3eXm6N5dNDfU8eoDv+Lyb/2wPdc/2NjAx//4K2ooyPm3301V4VF2rfyQwv17mHnJlZ1uSNu/J1Fk4ezZfL5xI7FRMcR5Tr0hZJomW/fuoaSsLNQkK9OfWHrD/lMecAbz+6VXXviTF9/OWb9t25gFs3oXYZp87oWU5+eSPrXnSmWepGRkh4ONb79K4phsRLnlXH9oywaCjQ1Mv+BS4jPHYnM6O43pCU6Hg4UzZ7J64ybCXG7SkpK6HHcwL4+DeYcNTdMvesxyTi0sBhs7tFcyDFnrgVF9Jxk/Jnu2LEmn9Q3xQGCaJg2NTUKc12vCqctlBEEgMjyMyPAwMlJSME2TuoYGKqqryTt6hB179+JwOIiJjCTRH0+c1zsovQCGi/LKcnJ3bAF4cbhtseiS6fGZY/ANQN+fpOwJ7T+7IyO7VKs6GSdzEkRZJjwmtkO6FtCe0tXXedsIqioRPVDAKjt8iPHzF7Hjk/+QNXMuAIahExYTy+Xf+SHN9Q28+6eH0FSV8vxctv7nHaqKjpIyYTKLl32VAxu+YP+aVVz9w5+zd/VK1r3+IqHmJpZ8+U4Sx47vtF5keAQTssayaedOlsybf1K1I13XWb9tGzV19TWuOmHc7+++ofeNUM4wamqLp0FC6e4D+yOmjJ/Q/QGtTDn3QuDCk75ffOgAn/5rRfvz2KQUpl9wKefcejsr//kkL/3ul8QmJhFsaqS+opzEsdnt0bDzv3IXHz71J178zc+Jjk/A7nRRV1GOaRhExcWfbEkAoiIjmTN9Kht37iIyPLyTguX+3EPkFhzRtIB49iNfvWpLjz+whYVFX0lvfTSBIZM+H9V37nGpadGemOjhNmPEU9/YiCiKeGNjel2rLwgC0ZGRREdGMjY9/ZhDUlXNoYI8tuzeicPhJCYykpSERPzeWMRR1pH+eIpLSijLzw8yhN1ALXpFYvrkaXhjTh0FOF3RdJ3wk6SetWEYBvWVFSSMGc/Gt14jY+pMAvX1CILYotxldxLpdbbvppe0NpKLiPVSW1bKW4/djxIMEGpuapcsttntXPujX3RobnciY9JSKauoYP3WrZxzdudIjqKqrN2y2Wxsbj7q8kdkL196XrCfX8cZwYq7727+wUtvTygoKs1zu9y2rLS0k45NGDv+pM6uPz2TKG9c+7hAQx2hQFP7+2qo5b8jMSub63/yP2z76F1qy0pwR0Yx7fxLSZs8rX2sLzWDG//rN+z85AOqCo+gaxrJ4ycx9byLOqhnnQy/10d2ZiZrtm7hgnnzcTqdmMDOvfsoLCsJKaY49ZGvXn6wJ9+PhYVFv0lvfRzSvkuj2QGZnzxhkpCYYBWgd0d1bW27QlZ/6eCQZKSj6zrVtXVU1lRz4HAum3buwOl0ERsZQUpiAr5YT59kF4cDwzQIaTrFh/bvG25bLLokC7DFZ2WdsgD9dCUQVDANvduCZE1VSBgzjjcf/R2yw4Eoy+z6/COi4rqu+5h2waXtP2/94G1ESSIsOoa9X3zGuLMWoIaCrbvp3TNv9iw+WrWKvQcPMnn8sUhJczDA6o2bUDR12wM3XTnH6o7cOx696cqi7z/32pK9hw6tCnO7hfiTRADPvfVrJ53joju/26NxAM7wCOZde+pmDnaHk9mXXXPKMadiXHo6TU1NfLZxIxcuXMC23Xsoq6xqEhXb2Ee+dElJnye2OOP5wXOvneMQ5f/TDSNTkERTEkRdEMWAoesNhm6WaWhHTZNiSSRfM6QcWWg6FH7w4N7lZ1Dj0xNoyz0ODeWio9kBuTFl/ERiz4AGhP2lvLIKXTd6LefYEyRJwueJxeeJZcKYMWi6Rk1tPWVVFezaf4DmYBCXy4UvOobUpERioqJ6rZQzVNTW1dFYVUmgru6D4bbFoktudrjd2F3uM7KXTUVVBS5H95LjdoeTc790B6/87pcowQCb3nmN3K0bOee2U9905mxax761n3PJ3fdQXdySBhwZF8fKfz2JrmlMP85RORkisGjOXD5dt5bY2FgS4+Kob2zki80bUTWjpXu11b+6T/zhluu+uPf51+7etHPninPOOovI8MFpRjmUTJ84kdWbNvH+56sQTLOqKULKfPyyS6zos0Wf+PGLb54nmtJThqlnpqWkMC49A0EQhEAoJKuaEhEMhSKCoVCioqozmgNBAsGgqagqimKjcew04b7n30SSJB0BTTKFBsOkWtWUEgSOmib5CEaJgbCnqaFi04q77+6ssz56aSvGCgzloqPWAQmLiF7ijIgi4jQ4CQ82lbXVREWGm6IoDvqdvyzJ7Q7J5HHZaJpOTV0dZZUVbN29m0AwgNPlPuaQREePmB4uVbW15O/ZCfDccNti0SXn+zPGEO5yj1gndjCprqvv8fnus2f+jiCKnHvb11n576fwJKeSmNWirNVcX09jdQW6piFKMoZhsPaV5zi6dyfn3HI7nqRkqouPAC3pOBfd8R0+fOoJbHYHkxYv6XZtt8vJ1Oxstu7ahTp+PLv3H0Az9d8/tOyan/b901sAPLTsuid/9MwbU9Zs2vzdJQvm4bD3vbP4SCAUCqEoKhhGsClSznz8ssss58Oi19z7zKu3SLL9D4IpeMdmpJGRmtahNrWlTrizAA/H1cSapklIVVEURQqGQlJIURyKonibg8FxoVDIDISCBBQFNagIUngcP37xbVMEQwDFNMm5f+mV07paYJTQ1oCqcSgXHbUOSMK4cdlOmzxq0nuGC0VR0XWDOI9nWO7YZPlYhGRydjYhRaGypprSiko27dyBoulEuN3EREWRkpDQ3tV9OCg8Wkjh/v0GsHvYjLA4FZMSssYOSAH6aKShsRFfNwpYAJ8+/SSlh3O4+K7v4XC5SR4/iXOWfbX9/arCI6x+8V94klPbO6E319Vw7b2/xBkewYH1q9n87puMndtScOxLTee8r9xJZX5ej21NTUqioLiIHfv2Iej6Nx+67bq/9voDW3TJw7dd8737nn9z6upNm8857+yzkaTRWXNX19DAms2b0Qx9zYNLr1443PZYjD5+/Mxr35Bstv81ITo7K4uM5OQ+/z0IgoDTbsdpt3cVXex0/xRSFSEUUqWQori279k99cfPv/74A8uu/e6J40YJca2PQ7oBMFq3Ed3zrl/adMt3fsD0yZO7H30GU1rREnmYPXVqt/KYw0EwFKKqtobS8krKKyvRDINwtwtvbCwZKSlDmmrzxvsf8M+f/6CwqvBIypAtatEb9Jv/69fiNUtvITn+1B3DT0c+/GI1k8aMIambz15fWYFsd/RK1et4NCWIYbakcvWVQwX57D2Ua6IJP33wtisf6PNEFiflJy+8cygmKiJr/qxZoy4iWFRWxtbduzEN4/4Hb7nmZ8Ntj8Xo4kfPvfotm+z4nSSKkWMzMoSM5KRhFb+pqavji82bzWZZmfjEDaNSVvwz4JzWx/OGatHRGgG5PnPKVOLO0J3Q3lBVU42qayO2VsbpcJDkjyfJ3yLd2BRopqqmjvLKSj7fsAHTNAlztTgkmakphLkGxyFpbG5GU0NUFR75bFAWsOgvZwNiXEYWMWdgATqApmqE90CCN9Lbv/NiT7tmd4UJ7Nl/gLziQs00jYUP3XbNhn4ZY3FSauqKpiIklu0+kBM+Zfy44TanR5jAobw89h3ONQzDuO3hW659frhtshg93PPsm9fZJfE5h8Nmn5A1RkiOjx8RzndMVBSpSYlCYUnJhxwr6B5NtCkUDaks+mh1QK7wpmZ20g+36ExZVZXpdjoFuRfNooaTMJebMJeb1MSWXd62Lu2l5RV8unYdgiAS4XYR5/WSkZqCc4ByoKtr6yg5dADg1QGZ0GKgud4ZHo7d6cLdRTPN0x3DMFA1jTC3a7hNOSmGabBpxy4qqyubbEbThN8uWzZkDa3ORFbcfXfzfz3//MQjxUcPh4W55MyUkR24NQydzbt2U1FVHQwhzfnjLVdbqa4WPeanz785wxSEl6dkjxNTk5JGhONxPJPHjqO4rDTl3udf+8lDy677/XDb00vadvUqhnLRUVlA4U1LX2iz2XB1I0d5pmOaJo0NjYIvduSlXvWUMFdLh/azZ87giiVLWDx3LmnJydTVN/DR6i9499OVfL5hA/sOHSIUUvq8TllZCXk7twO8M1C2WwwoC+MzxhDhdo/avNH+UFVXi2yTkaWRuZGgqhqrNmyksrqqwtlclWw5H0PDb5ctO6oGzPP3HDxolldVDbc5JyUYCrFy3QbKqqpLQkJz0h+XXmE5HxY95gcvvRRriuK6cZkZYlpy8ohzPqBFEXTOlGlIyL/7/ptvdq15PnJpC60Pqfz1yLyadYM/NSv+dJAgHGzqGxuRbDLe2P73/xgJHN+lPT05uUNTxNLKCnLy87HJMmHuMHyxMWSlpmI/ReO04ykrr6CsIK+BIW7EY9FjsiWbHU03ME1zRF6ABpPq6loiBin9sL8EQyHWbN5sNgWD+8L2b512BmvpDwsPf/XqVT9+5rVvbdy+/S+LR6A8b11DA2s3b0E1NKvY3KLXLF++XA7qroPx/jjHuIzM4TbnlHhjY/H7fGJZVflHwNThtqcXtIXWC4dy0dHogGQljMkSkxK7b0BYnp/Loc0bmH/DLXz09z+x6OYv96hLa08wNA3xuLQmwzDI37mVzOmzO4yrr6wg2Ni9sIAJ+Fs72B7Y8AXZZ3U+T+dsWoeha3hTM/AkJnc7Z3VtLYZuDkgDwpHIiU0Rj3dIisvLyMnPwybJhIeHk+D1kZ6ShCzbOs2jajqqaVB8YN/WYfgYFt0jA9G5WzcSDAUacvLzIkb6hWigqauvJ2qAzl0DSX1jE2s2b0LXjU8eXHpVz7oVWgw4D9x23V/ve+HN8Ws2b/7+efPn4+zhxstgU1xWzpbduzBMw5JhtugTgQmzt0aFhXlmTJo43Kb0iKz0VCqqKrOH245e0nbCODKUi45GB+SW9CnTiY2J7nZgY3UVZfm5AFQcKcAwzE5jakqK+GDFHxElCV1VkWQbgihgGia6piLb7eiaRlL2RBYv/QrQ4my8+LtfcM6tt7dr6xfu383md17v5IB8/vw/0VWFSM+pC0NFSWp3QHat/KhLB6Qs7xB15WVsfu9Nbvyv33SrUlNaXoEkS2dMqlqnLu2GTm19PZU1NRSWlbA39xA2m42IMDcJcXGkJSUhSzLVdTXUEnZ+owABAABJREFUFBehqerbw/0ZLLrkUloU+zRVFC47kHt4dZLfT9gZVAvSFGjG2wMJ3qGksrqG9du3YhjGnx5cds13htueM50Hl159z0+ef3PWmk2bFp47zPK8JpCTd5gDh/NMTdO//Mht1z4zbMZYjFrue/6tf9tkecrZM2eOmpYLmqoDojrcdvSSNl8gfzgWHTXINtuFkV4/0SdRwtnwxsuINhlBEKivKEdo/aUVRIFdKz9EsrV8ZHdEFBMXnUdMQhLL/qelXujVB37F7EuvIm3KDEoP5/D5c//kpv/6bac1RFFk0oJz+ezpp7jhZ7/G7nRRsGs7UXFdp/1lzpjD1PMuItjY0CECowSbWfX80yy+5asdnIk2Obk9qz6ltuxYSl7l0QIM3cAVHsn6115g4c1fPuUfZXVd7WmTftUXJFHCEx2DJzqG7IxMNE2nsqaaiqpq8o4cYc/BgzjsDkRRpOjAfgDrIjkyubr1sfQPt1z3xb0vvPnyJ2vW3Rjn8ZjJiQlCgs83ansh9JSgqhLRAwWsoaKkvJzNO3dh6PrPH7rt2v8dbnssWvj90qvO+ekL7xRs2rkj+azpM4YlVdEwDbbs2EV5dXXQMBrPeuS2W3YOuREWo54fPfvGzyVBvG3B7FmtjQRHB5qhIWCGhtuOXiBzrCVHwVAvPKpIyp4w3SaJJy3GjI6PR1NanM9AQ8fUJ1d4OJLNjq73PUV51Qv/oqIgD0PXAXj7jw/gTU6l4mgBuqrw1mP3A2AaBhfd8Z32C0Dp4Rw++cffmHvVdYydMx+AD5/6M8GmRmRbS/SroaqSAxu+QAkG2PzeG8TGJ+KKOBbJCzTWE2puZsL8c7q1U1FUDNNkNBegDzSyLBHv8xHv8zGFbBRVpbK6mm179hBorNOBsuG20aJLzmp93Anw0NKrb7r36bcySquqflFdV3vD1l17IuO8MWZURJTgcNiw2+w47Q7sdjt2uw2HzTbqa0Y0XSc8bGTUgOTm57Mn95CJbi576LZrXxxueyyOQxCM6r/9LdsUzPI9OYfCJo8bO6TLB0Mh1m7ZQiAYLAsJgYmP3nJL9ZAaYHFa8OPnXroQSfzNvFkzhrQX2ECgaTqGIASG245ekNH6aDLENbCjzQERvSlpEb5TNNTLPntR+8+Ht22mquiYGMv4Bedgd/ZPxnLx0q9QVVzIp//8G7f86kGgJY3rnSce4uxrbmTsnPk8v/zHLPnq3TiOKwaMzxzLrEuvZMObr1B0cD+epBTqK8q45ke/bI9iSLKMKzwSBHCFR+KOimLbR+8BEOX140lOo6a4EIc7jPDY2G6jH6Io4I0dWWkbIwm7zUZCXBwbtm1jx8qPc4fbHouT0naC/LjthYe+fFUe8HXg69994YWs0irzx6XlleNEUYqTZdFnmma4iWk3DUTdNARZErHJNtNhs+F0OnA6nILL6TjOWbFht9tx2FqclpFEIKhgGjrOYU6lNIEDuYc4dKRAE/4/e+cdH0WZ//HPMzPbN23TC+kNCDX0jhULVUVR7mwE1DvPAqJ3eid3vyv2dkUBPcvRDKIUBRSk915ChzTSk81ms33a8/tjkyUhCaGkbHDfrxevZGeemee7Q3Z2vs+3fETFyLem372nUw3y0SwLZs2yv/T5N/3yLhaeYlmGTU9M7BAHvF7ZXJboljcfuvdWECK3+6Q+bkoIq/lPcnwcMQQEdrYp14woCoAsd6iiOAC8uPTb3ykZxZsMw7pkWbTJQLUkShWgtIqypILIpBRULmYVbKFkEXPfnXFffbSjoW7JZwBK4K4FyQdwGkC7dTTsag7IHfE9+yAysmUl4ONbNiDvyEEAAO9yglNcephY9/H7IMT90J7YbwAyRt+GtR+/D0kUwSk4OK0WHNmwDid3boHo4iG6XFj3yfuQJRmSIGD41Ome4m/e6cCmLxcAAERBgEqrQ/HZ00gZOAyiKCI4qhsYhml0408fNhoRSalYP/9DXDx5HKOmPdpIrVgbEIieo27Bmb070HPULSg5dwYumw13zPgt1vzzbfQafRt4pwM7ly9C71vHISC05U5vVcZqSJIMP90vJ0/+erDYbHDZrKitrPi5s23x0Sz+AOr/iLObG/DPhx66AGDWlU7yQna2gXeJvRwue09YmEhCEA+KbpxCEcoQBFNAL8uyGpQwoiwRhhAoVUqq4pRQKxVQqlREp9FAoeCg4JTQqFRQqVRQKjioVKp2bQ1caayERq3p1PbDsizjwPHjqDAanQJl+7w3/e6znWiOj1Z4+/H7z83+4vvBFwoKtlZVV2sH9u5N1Kq20UxqjtKKChw4fhxUEt95+5EpL2Fau03l4yZnzlc/hsmyKzk+uvVGO96IIEqQJKmmo+clInoFBvurk+Lj1DwvBAiiEMULAnieh4sXwIsCdf/uItABs5esBEsAKlNaW1UBp9VKHLW1T1jNNTBXVcBuqYXTaoHLZoPLYZdddpvotFicVnONGZTWADABqABQBreTkgcgF8A5AFflgHU1B2RyZEoqgvxbFiBMGzIcCX0yAQBFp3Jwes92z767nn4BSrUGsihCFN2aET1HjoUkuKNOB9Z+h8iUNITExKG2qgKndm1F2uBLERW/unQmWRSgUKmQMfpW7FyxFKkDh2Hk1F/h+3+9jYKco1CqNeBa6EJSWZgPSRSh0uqwb823iExJb7WYvJ7whCSc3LEZvNOBxH6ZVxxbWlWJoICALp960t5U19Sg+OwpAFje2bb4aJbJdT9dAIqv9yTvT51aDWBr3b9WmfPV6gS7LPR2Enu0iZJkQhDPEDZUwXBhDIFBAtUDUMhUZmSZEo5hwCo4qlYooVapoFapiFqlgkLB1b/2OC7Xms9cXVvbqQsJZosFR0+eRK3VWqlxGFPffPzxmk4zxsdV8+5j9x4Epf4vLVuz6uedO+8d0LsXwkOu3AzlerhQWICT5y5QnuLRDx6Z8r82n8DHLwqZc7wdEWygapWqSz68iJIIClLT0fMShoT76f0QEdriZ7zJ9ZRkCYIgEl4QIYg8nC4XnC4XBEGE0+mE3W6Hy+mES+AZURSVEqVKCuJPKe0mCTwEpwMuux1OqwW2WjMs1dWwGKtgqzVDcDpk3uEQeIfd6bRZLbWVFZWiIFTAHWEpA1DYpRwQ/5DQMUqt7oq50Eq1Fkq1e7+yhb75DMdBWddCNy6jr2f7wXWrEJPeE1Ep6SjLPYcze3cisd+AJsdbTdVQaXQIi08CV6fErfH3h0Klwt7Vyxudsx5ZlrHrmyUoOH4Ew+6fhriefbD6ozex6t2/YfKcV8EpGzshJ7dvhkKtgs1sxub/fQoACI6Jhcthh39omOc9NgelFA6XC92iW29V/EuntLQU+TnHKYDNnW2Lj2a5u+5nh/Ynr0vxyruasfM+/zzQqTYk2B1CrNNpj5Zr3Q4LS9kwTsFEgSCIgmhAwUmiyFJCwDEMFAoFVauUUCvVUKpURK1UXHJW6iMtajUsFitCO7iZhNVuR1FZCQqKSqkg8BQS2ao5d+gOn8ZHF4MQ+W1g/EtLVz2x/+jxhd0iI5le6Wlt0lFIpjIOHTuOMmMVL1N51AfTJu1tA4s7hZeWrvwRhJx6+6GJz3e2Lb90FCz7UGJsXJd0PgDAxQugkMwdPS9lSLBKdW3pwyzDglWxcEdHr26RiwIQeAGCyIMXRPCCAF4QIAju11arFQ67HS6Xk3HxgkqUZZUMBBBCYmRJguhyQXDY4bBbu1YEJDI5NUGnUra4qm+uLMfGzz+Bos4puFIKFqUUw+6bhtDYeABuXQ+Xw46IhORW7Sg9dwYB4RFNtif2H4RjP6/HgLsnXtpI3a1/13z4JhyWWtz+5DMIi3drGEx4/vdY8+Gb2PTlQtyR9SxkWcbpnVshOJ1w2ixIHjgY/qHhCI2Jw77vv0PZhTMghCAmrSdM5aUICm8+Fa3WagXHMAgJDGz1vfzSqaw2oupifoffLHxcNfWhvoOdasUVmOeOCByu+9cqz61aFc445R4Olz3Z7nDEAjXRAIkhLIlUEEUIZagfoVBJssxKskwYhqDGYkZ+cTElLAOGELCEAcuyYAhTH1EhCoWCEgKiYDkwjHs/y7AgDMCxHAgAri76ouAUICBgOQYMcf8jDEFFVRUKi0uo1eEAw5BTgsv1/ru/uu/Tdrp0PjqIt6dN/O+zy5ZtLSop3VtmrDQkxcaT2KhIKBXXXu/E8wIulpbifGE+5QWxXCDOnu9Pm9pli83nLFuVrWQVd0iydMecpav170ybMKOzbfqlMnvpyvsZQpRhXbh5jiiKlIKaOnpejrChCq79H+kJUFczqbhKl+USgiDCJfAQBAGnzp/vUg6IITQuURF1BQHCgNBw3Df3dc/r3MMHcGzzj57X9SlYgNvhaMiWxf9FUER0I3HBlrh4+gRGPvirRttM5aU4sXUjNP4B+Omzf+Pup19otH/EA48gKCKq0fkZhsH4516GKLjTwfKPHcKZfTsx/ndzoQ0IxP7vv0XxmZOQJRndevbC3lUrEBAWibP7d+HCoX0Y/sAjiEpJb2JflakaoiReMVXNh/vDIMkySs+d2d/ZtvhokfpE4O871Yo25MOJE8vh7rh2VVG33/935eBalRislCUbpWwwQ2UtB6qnIP4iKyshEwMAsIS4Y+8UAQDDUUp1hCUalkALsGqGIQpQqmEIYWXIShDCUIAllDCUygylMmEIKRYE6eMCpfDu8qlT+Xa7CD46nLpaqZAXF303/eyF8385ee5cQnBgAOK7xSAqLPyK6bqUUlSba1BQVITisnIwDFMpCeI7bz8y6Z2uXGz+0uJvP1Yw7AOjBg+CLFNs37f3yZeWrjS8PW3SlM627ZcIR5i/J8bGdunUcV4QAMp2uEPOsiTQ2xqoXI5CwXlSkKkkdikH5KHE3n0Qcg2eMaUyqOy+N1KZNnI66h0BY1Eh9q5ZAUtVJSY8d0moVZZkT/SiIbu/+xoKlQoRCcn4/l/voLayHJUX83Fk41p0HzYafe+4Byvf/StWvvtX3PvsHLAKBc7u3Yn8o62LbI988FeYPPs1z2tREND7lnEICA3Dz1/Mh94QjLufeRE/f/EJSs6dAdvC6lVJRSV0Wu1Nr41wo1Sba2AqKYIkijfNw+1NRiSA+srZVZ1pSGfyjye6bmqLD++jThRw0atLl3arrJbfrqm1TD528pQyPCTEo5vVECrLKDdWQZIhSLL0HbWJc9+q76AzvYONb0PmLFr1d5ZjnhoxcBC0GvfC5OihQ7Btz77JcxevXvPWIxPGd7KJvyjmzV8TYqdySlwXLT6vRxJEMKBVHT0vlYlWqWi+9tgbcTgcXcgBYdm7gmNiERhw9av6Gj9/BEVGA0CLIoFn9uyASqPFrbNfhaqBsjKr4KALar6F7R0zfguG4xDbszfKNRqUnj+L4fc/gvje/QAAk2a/hnP7d4FTqjFu1nNXbe/lDJ38IAC3kxTfux8GTbgfADD21zOx8b8fIyAkrNnjzJZaxEVFX/e8vxSqjEZcOHoEAHxaBt7Jw3U/rbjKrho+fPi4Ov42bdpFAA8BwEuLVj54saz03hYHy/K6d6bft6SjbGtvZi9ZMZthyO+HDxgAP/2l732tWoPRgwdj2/699768ZNXWNx+e2Lrolo82waoT3wkzhFCNumsWn9fDSyIAuaLDJyZQdkQKVlvBC2Kndna8JiKTUyunv/6PkAnjxnW2KY2QRfGq0rY6Cp4XsGHHdvTvmYHI8OYdFB9uftq8Ccvff0M4vXtn11k2+GWxHsCdcAsQ9ulkW3z48HET8NLSVU8Qgs+G9c9EcFDzzR1cvAtb9+2H0+k69Pa0CVduOemjTXg5e41zQK/eqoiQkM425aqotVixafeuZvexRLjjrYenbuhIe17+eo00dugQRtdC8yVvY8369V0nAhIaGx8cdA3Rj47Cm5wPADCZTZAlGYagwM42xauhlMLm4lFy/txVdTry0Sn0qvvpE7zz4cPHDfP84lVTCGE+Hdind4vOBwColCqMHjQI2/bu6/9y9upDb06d0L8DzfzFMXvpyvsZSlThVxCZ9jZ4QYBSoXD+Y+q9N6Zu3UbIsswoua6zlipRihvvxdcx9I1JTSdXKkD34aa0vAoKpQKqFnRIfLix2Gzg3QKEmzrbFh8tUp83+Yut//Dhw0fb8OKi725Vsvimf88e5GpW2VVKJcYMGQKtStPv5WWrzoDSrvK81OXgCPlbQlzXKj7nBR6gcHS2HQDwQHa2ksoyOK7r1P1ShukyDshD3Xr2gsHXVrZVyqurEGJovnbFxyWqa2pQ5BYgbFZd20en0xsAC3fb8Z862RYfPnx0YV5ZtGKgQsH+1CstnURHNG2h3xIKBYdRgwZBq9Glvvz1D2fnzZvnXSkPNwEvZGcbKEVqV1M+F0QRlBBLZ9sBAN1kXTzDsl3GgRNECVSWu4YDotbpbtUFBiHA36+zTfFqKKUQBBGhPgekVXwChF7PQ3U/TQB84nc+fPi4Ln77zTfpMqfYnZaYxMTHXPtDLsdxGD14EPz0uiRH98yCeZs3q1s/ysfVwgjcO8EGA9WoVa0P9iJ4XoAsSsbOtgMAKPh4jlM0bdvqpQgiD4l3dQ0HJCqle09lneiWj5aptVoBUAT76j9apaq62idA6N2Mqvt5tlOt8OHDR5fl1aVLu+kk1dHU+Hg2JT7+us/DsixGDMhEoJ9flKPSmjdz/vyuUenbBVAqlA8nxXbrGkv3DeAFF2RZquxsOwCAEeRYlZfVI18JgRcgOOxdwgFRhsbGayLCrj5s+kulvMoIEECnbapP6bLbUJF/wfOPdzkBACLvxOavFrZ4znrtlN3fLcPB9auvOP+RDWtRkZ/rOU7knddkf+7hA9j4+cdXHCPLMrL/9ioqC/M986z7+P0mwpJXQhBECLKMstzzB67JQB8dSb3C5vZOtcKHDx9dknnz14QIRH+mW0SkMi0p6YbPx7Ishg3IhCEgIMIQEFX07Nq1/m1g5i+a5xevmgIKVVhw1+h81RAHL0BmiFc4IBLDRCu8XISwIbwgwmmzdYkuWBPie/dGeJivpWxrlFWWIyggsNneyqd2bcPZvTthiIpB2YWzuOup5xEcE4sjG9fDVF7a7PlKzp3B9q+/woOv/Q0BIeHI2boRmeMmePZvWfQZAiOi0Pe2uwAAgsuJDZ/9B+Oeeh4Oixm7vl0Klrv0oRB5HgqVClNe+pNn2+ldW1F5sQAjH/w1eIcNFmPz+j2nd22DtcYtLqrx88fGLz5ByoAhKLtwFjZzDQ79dElLMCw+EbE9erd4neoFCEWX64cWB/noTBgA9XmEyzvTEB8+fHQ95mVn652UnI8MDdH07tG9zc7LEAZD+vbDviNHgmhNTcEL2dlJ70+d2uGq1zcLKo79R0Jsty5Tu9AQgecpkUlZZ9sBAAQ0Qq3sOilsLoGHw1LbJRyQieHxSQgK9C02tIbFakNaYmKz+xhCYIiKRkBYOFw2Kw6uWwW7pRbWaiPUfv5Y/cEbAABJFBCX0Qf9x01AVEoaqCzh9K6tSB8+Goc3/ICK/AsIi0+CLMsoOnMS6cNGeeYYeO8UiDyP8txz6DFyLKb+4a+NbMg/dhiHflzTaNuFQ/s9go+EZcEwzXdx8A8Ng7Kuv7Uh8lIeb8Pf69EFXrkGpspoRN6RwwCw9IoDfXQWtwIgAGQA+zvZFh8+fHQhHsjOVtqpOjckMCAgMyOjzcXOGIbB4H79cPD48cCyqsrC51atSvpw4sTyNp7mpueF7GyDLEtdrvi8Hl7kAUZsfvW2g2EowhQKrst4cYIgwFJj8n4HJCgyapRCpYa2i4irdBY8L4ASXLFTmCzJOH9gD8Y99TyCwiNxdt8u5GzZiNuffAasQgmtf1MnL23oKBzfshHpw0YjPCEJh376AeNm/g4ntv0MtU6PiMSURuOHTnmoyTmuRE1lOWqNlcj+26uQBBGSKCD7b6969vuHhmPczN8hKiUdu79dhuqSIgSGR8JhrQXLKTB62mM4vXs7eowci42ff4Kw2Hgk9htwxTmLS0pQXnBeAOD70vBOJtb97Hg1WR8+fHRdKGWSl/9wxs9fHzq4X992W1knhCCzVy8cPJGjK6uszH0he03q+1PHF7fLZDcpjKh6OzQ4kGo06i7z4NwQFy+AkdmizrYDAAjDhKhVXScCwosCLNVG73dAIpJSov20mq4j2d5JVJmqIUsyAptxIgAADAPCEGj9AyBLEgDg6MZ1GPngdOz8ZjGCIqIxeOL9TQ7rc+s4nNy+CRdP5qDfneOx/uMPIPI8jm/egEET7vOM+/btv0DkXVCqNZg0+zUAwJm9OyC6eM8YU1nj+/OxzT9BrdXhvpfnecaf3rkNE1/8Q7NvgXe6W26rdDo4bRbYzTUQRR7HNv+IHiPHglIZYK5c1kQphd3l8gkQejfD637mdKoVPnz46FK8/PWa01q9Pn5Y//7t3rSGEILMnhnYum+f1myx7AIQ164T3mQoOOaRhG5xXfbRThAEQqAs6Gw7AIDjuBCFwusf5z04bHY4rFavd0AiIxOS2eio6M62w+spLquAn04H5goP4FSmyLxrIvZ8l43o1HTIkgRjcTEcllowDIMT2zZBkkQk9h0AfV1aFMMwSOo/GOX55zHg7kkY/9zL2JH9Pyi1WiRnDvacu76uY9EfZ3u27f/+OyT0viQg67RZPWlUdnMNcrZswPAHHrnq90gIgS4wCLE9eqGIYVF6/gw4TgnaYH9rK14Wqw0unwCht1NfMbqxU63w4cNHl+GVr9ccUKvVKSMyB4BtIZW3rSkoLoHVYpEFKl39F5kPtyI9JarwqxCE9FZESQJkZW5n2wEAhFJDV1JBt9lt4O126u0OyCMJvfrCEBTU2XZ4PdVmE2IjIlsdF5PeE7u/XQaNnx9i0nvCXFkOWZYh8Dwc1loAAKdQwFhUiC1LPm90bEHOUQCAvdYMhVKFFW/9GQAQndoDQyY90GQuQkiLDsbPX85HSLc4GIsuouD4EbCcAuaqCtittdi5fDEAwOWwo9eY2xEaGw/ArUhXXVKMnK0/w15bA0IYiCJ/TdExk7kGxT4BQm9GC6Be8OfbzjTEhw8fXYOXF6/ZpFAoM0cOGNhhatAFxcXIOXNaFl0Y++FjU3Z0yKQ3CUqG/jUhrmsWnwOALEugFHj313d6RZowQxitUuntj/OXcDqdEJx2yastZjnuroDISAT5B3S2KV4NpRSCKMFguLKj5vmsE4KUAUNx8VQO1Do9/AzBCImJRemFc7j9yaehVGuhVGtwZ9aznmOLz55EdGoPuGxWbPxiPsZMfwK6APd8So2m0TyyLOPgulVXtOWOGb+FQqnChcP7oaprGyzwLlirjQgMdztSkiQ2OjcBEJ3aHX1uG4cze3ag+OwpcJwSvcfeWdf2l2/1hlZSWor8nGMUwNYrDvTRWdTXfwgAznWmIT58+PB+5n69ZjnHsGNHDRoIZQe1Ii0sKcHRM6coIbjt3ccmbuuQSW8SXsjONkBC97gunNni4kVwDOs1wn8ypWoF14Xa8PICnHY779U6IJFJaf05wqAr5bZ1BrVWK2RZgiEgsNWxTqsFksDDWmNC6YVzSBsy4tJOSrF1yRcAAIbjoA8yQB9kwKH1q3Hox++hDQhEcEwsQrvFYfNXC8Gw7jFKdWMHZMv/PoUkNK/LUZBzFLlHDkCl1YHhOKQMHIqeo25Bz1G3IDI5FSqN1vO699g7EBAa7jlWpdVDqdHgwqH9OLt/N3qOuhUMx6HHyLH46bN/w1JtRHyDlK/mqKquRmVBgRnuDks+vI976n76Cjp9+PBxReYsW/kJR8j9owYPQkcV4RaXleHIqVNUIOL4tx6cuLlDJr2JYFzcm8FBBqq9bOGyKyEIAghDveYZglLKKRVdJwVLFEU47TaHVzsgofHxAcG+9KtWKSorg1qluqKjRggBpRQ/f7kQkclpWPfx+0jOHITQ2ATPmNGPPIHyvAswFhV6th3ZuA6FJ4/jjiee8dSX3PLoTBiiYrDmozc9gob1UFmGxVjVbEoWAJw/sAdlude3sJ2cOQgqrQ7dR4xBysChiMvoA2NRIU5s24Q7sp4Fy3GeAvvm8AgQ5vsECL2YgXU/D3eqFT58+PBq5ixa9XeOsLNGDByEjnqYLamowOETJ6koYfIHU+/z6UhdI/PmrwlhFdwTKfEJXTP3qg5BFEDACp1tRz0SoUTRhVKwJFA4amtqvdniEdGp6cRst2HfsWOICQ9HRGhIizoRv2Qqq6oQariy9gWtezC/5zcvorIwH3pDMDLHTcDxLRtQU16GyOQ06IMM6DnqVlhrqhEUFYNtS79A6bnTuP3JZxAcE9vofHfM+C3WfPQmvv/oLUya/RoYhoHTaoFCpcLtM34LAGBYDru+WQKl9lIL5Yr8Cxg8cSrO7d+Ng+tXQ6FSe/bJkgRJFDy1JYBb6TwsIQmjpz2GPau+QVBkJBiGwamdWxEYFoHA8Agc2bgWCX36IzIpFesXfNhEf6Se6lqPAOHaa7vCPjqQ+j+0dZ1qhQ8fPryW2UtWzGYY8vvhAwbAT6/rkDlLKypwKCeHuiT5/g8emXjlHGMfzeIMwM8RwSFMaPCVn1e8HZ4XQEAdVxrz8rLVeYRhNJTKRlGQSgmDUgpSxMpyAaVsvuwST707474b76JFKUOXrCQK1psf5xtDCQNrTU2lN1t83/n9e5ExfDS0ahVO5+biwLHjUKmV8NfqEREWipjISCg4b34LHYPD5UKyIfiKYzT+/tAHuceExsZ7CruNxRcRGhuPnqNuBQD0u/1uAMC2pV/AaqrG5Dl/hFrv1+w573lmNg6uX+15rdb7Yeprf/dESm57fBZObNsEp83qGRPTPQPxffqDYRikDBx61e9RlmVYjBW4/cmnAAA9ho9G8ZmTiO/dD4n9BqCyMA9DpzyE4jdeR0HOUcRl9GlyjiqjCXlHDwPAkque2EdHEgKg3iNd0ZmG+PDhwzt5aemqJwjBO8P692+57XwbU26swoHjx6koSr/+YPpkX3OM6+CFJd8+DkJ79+7Zdsr0nQUvCpBBLFcaQ0HieiYnE1mWw3le6OFwOeHiXdTp4uHiBcJzFLOXrATHsJTlWIlSyjMgFpnIJl4QiiklxYwsFcsMW8AQHHln2qS9zc0z+7NvuzE69oodUL0JUZQAWYbgcFR589P7cI2/P8JCQpCRmgYAkCQJNZZaVJvMKCwpQc6ZM2BYFjqNGqHBwYiP7gadtuvmFV4PvCBAlCQYAq9cqJ8ycBhSBg5rsn3MI080O37UtMdanZvhOAy8d0rjbQ0+BKGxCRgz/clWz3M1MAzTyLnpc9tdnn1DJ18SP5wy9/UWP4jFxUUoz7/gEyD0Xh6s+2kHUN2Zhvjw4cP7eH7xqimEkE8H9umDjkrPrqgyYt+xo1QSxcffmz5lUYdMepMxLztbb6eKBf169oSqC9UqtATPC5Bl8YrfUZIskbjo6MufRxqlnslUhsslEF7gOSfv4nhe0PI8H+7kXekOpwsul4vaHQ64eKEWQGBz88haEq/kFPTyc3srvMBD5F0A4NURkJTkfgMRHhLq2cCyLIIDgxAcGISUhHhQSmG2WFBdY0JFlRGbdu8EIQw0KhUMQQbERUXAEHhz15CUVFSAZUiH5cB2Jlfj4bc0xiNAeOFsfhub5aPtuLPuZ35nGuHDhw/v48VF393KseSb/j17kogO0o+oNFZjz5HDgESffXf6lC87ZNKbEJug+SkkOICLCg9vfXAXgBd4yKLcYgveP/xvfaQAZ6vPLAxhoFGroFGrEIBmM03IxdJSHD99usV0L0q4WIWi63TAEkSxXlS6zFsdEA5AQGRKKgxBgS0OIoQg0N8fgf7+SIyNA6UUFpsd1TUmlFVUYNfBw6AEUCkUCArwR1R4BKLCwrps7+nmKC2vgCGwa+dTdgQWqw0uuw21FT4BQi+mPm9uf6da4cOHD6/ilUUrBlKW/SkjLY1ER0R0yJzVNSbsOXIIEqTn3ps+5d8dMulNyPOLV01hWDq0X8+MzjalzXDyPGSGVLa0XyRyXFvp0QgCD0mWzC3t5yQpRtWFOsXyvACX1QYAJd5q9T3+IaFEqVZD36CAuTUIIfDX6+Cv1yE+JgYAYHPYYTSZUVVtxLFTp3AoJwdKhQJ+Oj0iw8LQLSoSHNt1C9trLRakJMR3thlej8lcg+IzpwBgeWfb4qNFoup+rr7iKB8+fPxi+O0336TLomJ3elISU/+93t5U19Rg58HDkCTy4nuPTPmoQya9CXkgO1upArukV2oqNOqOaZPcEQg8TyltOQJCwccplJo2SYviBRGyJLfo7FDIkV2pBS8v8nBYzABQ5K0OyPjotO4w+Afe8Il0Gi10Gi1io9zidk6XC8YaE8oqKnE2Lxc5Z8+AY1loNRqEBgcjLioKumtwejoTSilESeqwXNiuTElZGfJzjlIAvr7t3kkq3JFPAFgLAPPmzeMsKb0XUBADIJcwDCkQZfYcR2znCzju9PKpU/nOM9eHDx/tzatLl3YTJdXRlIQ4NiU+vkPmNJnN2HXwIGRJ+tO7j0x+v0MmvUlJlJWr/XQ6VWx01xUdbA5e4EHAlLS0XyZMlLKNGiTxPA8ZMLY4gJBQpVLZZdJ6eF6AtcYEAAXe6oAMTujVD1FRUa2PvEbUKhWiwyMQHe4O47p4F6pMJlQZTSgpL8f5/DxwLAelUolQgwHdoqIQ5O/vlWlb1WYzJCrDX6/vbFO8niqjEVVFhT4BQu9lWt1PMwDn89kr7nHIiuVBOp06KCCAOHkeTpeTOl0CBJ6QWFHGS1+vpiwhMkMYHpRaQUm1S+aLINNCgBRDlgtElpwOsihOz5s1vqoz35yPXwbzPv880KLyf5KlivtZBZPkFPgVGln7l7//alxpZ9vW1Zg3f02IneBMbESkMi0xqUPmNFss2HHgICRR/su70yf/X4dMepMyd0n27ZQydw7ok9E1qqOvAZcogqW42OIAKrZZVIIXBAqgxe8vGTRErexaNSC1pmoAyPNWByQhvlfvVjs7tQUqZWOHRBAl1JjNKDdWosJYjYLiEjAsA45lEBIYhOiIKISFBIH1Aj2SotIyBOn9vNI58ibqBQhLL5zzCRB6L2MAgFMoLsz+37cbqERvS0tKRHJ8fMO/70Z/6IIgEofLxQoirxEEUeN0uUKdTmea21lxUafLBafAw054MmfpKrCEoQzDiAyBU6LUIkpSFWQUUwYXIcsVlOKMkmVOXGBdJ3zRFR9XywtLvn2cIWS6glEOtkmCzl+noxGhoUSn1aK4rGxWVbXpqd9nr6kUeP5Tl0Hzxj/vvru2s232duZlZ+udlJyPCg3R9O7RMW1bzRYLduw7AFmU//Hu9Emvd8ikNyuUMszy77/tnpgInaZrZJRcC4KLJwTKFjU8CEiYUqFokwczJ88DlJS1tF/JcqEKRddJb7PbbXDUWgCg2hsdEL1Kq9Vp/AMR4Ne8/kR7ouBYhAYbUC+UI0kSqmvMMJqqUW40Yv+xI2BZFoQQBPj5ISYyHBGhYZ3SWs5oMiEq4uboKtGeVNfWoKbUJ0Do5fQIjY3H9D+/0SfQ34/NzOgFjUZ9xQMUCg4KBQegWSGyRjd/SZYgCCJxulwKp8ul4AXRz+VyRTmcjt4unqcOlxNOFw9BEEisqMRLS1eBZVkJgMCCWGWKakHkS0FwkVLkg8ilMsiJAE48OG/qVGtzBvi4uZm3ebPaXl57hGPZtJiIKISFGBAcaADHsZ6/vbjoaMILAkrKy0MLiopfMZstv3952ep8QeJ/894j9/vuR83wQHa20kk1uYaggID+GR2zem6x2bBj/34IovTPd6dP+kMHTHlTM2fZ6qUarU6fEBvX2aa0C4IsQfCT81ocwNAQVRtFJQRBBAu0GEElDBOs7EJF6DabDbzDRoFLOdfexOSo1O7QqlReIazCspcckvTkZMiyjFqrFRXV1aioqsTxk2dwnDkLAkCr0yImLBzhoWHw0+va/cbpdDkQfJO3GW4Lqowm5PoECL2aYVMeDB066QFk9unDdmuH1EuWYcGqWKhVza4UNe7NLstw8QJ4gWedLhfr4gW1i+dDnE5HqpPnqcvpgoN3ged5YhWI21lhGIkQRiBEtskyYxQEvgSEloEw+awsFwgcydUImuO+VJybg1eXLu3mKLfkBPkH+A/u1x+KK3S8USoUiI+JQXxMDHE6nSgoKYk/m5f3/SuLVgx+Y/p9vo5vDZg3bx7noJq8QH//0MF9+nZIdN9qs2Pb3r0QBOmf706f9Lt2n/AmZ/YX32cyLH1gYO/eN2V2hkxlUAp8OHFiy3piDBuiVLZNVMIl8iCUFre0nxBGr+xCbXidThcEl1MCvNMBubtb956I8dKiJYZhPK1/U+MvaZEYa0yorKrG6bxcnM3NBQWgUioRERqGiNBQBAcFgGnDtC0Xz0OUJAQFdHyUqKtRXFKE8jyfAKEXM6LfHXeTsSNGdErU83IYpkFv9qb2NPlG5QUBLp5neZ5nnbxL7eL5YN7FpzpcLjhcLupyueASePCyy50KxhDKEFYkhDhBqFUUpFIqSoUSI5eylMkXCHPeV2jvvcz+YtUokTA/R4WHcX179LimhTK1Wo20xEQwhJDTeXm7Xl26NPFv06a1nEv+S4JSxvH16hP+en3kkP79OmQB0uF0Yce+fRCA//qcj7ZBoZU3JMclED99s5HpLg/PC2AYhl5pDMuwIYo2KkKXBJEwHNNiuhcFVXclB4TneTjtdgHwTgckM6XfQIQEB3e2HVdFQy2SpLpwo81hR6WxGhVGIy6WlqCgpAgUBAqGRXCwAZFhoQgzBONG/mgKS0qg02jBsd74X+g9UAA2pxMlF862+AH20bkYoqIeU+t0XbaZglKhcH+Wda2ngsmyBF4QCS+ICpfLpXC4XH6CyEc6nK7+DocTLsGdDsbzDIkTRMxZshIcy8pgiEBAHaAwCaJ0UYZspBT5DKHnZaooZhzCkXdn3Of7G29n5iz9NoshZH6P5ESSGBd/3edJSUiA1W7nistxfN7mzRHzxo51tp2VXZO5y9bs12q0qcP6Z3ZIjaUgiNh18AAVZGn9uw9NeLLdJ/wFMHvJyoVKhSro8o5lm75cgEET7kfp+TOwGKvQf9z4NplPlt09ZRo6qyXnTsM/JAz6oEv6aLIooqro6m6PfoZQaPz9UZGfC97pQEx6z0b7eV6A7eBOPP3005nh4eFH582bJ15+DpbAv63SokRZhsS6WjZepgoF13UcEEES4bRaHYAXOiAMx8UGRETCEND+BejthU6jhS5G26wWSUVVFcoqKsAQAlAgMMAf0eHhMAQZriltq6LKiDBD13DSOhOL1QbebkdtRcXPnW2Lj+aJTutxh0qhuCnD9ZfDMCzU9algza8Qei4CpRS8wMPFC4zLxaucvEvF83ygk3clOJwuCDzvLrR38cRFZMxZ8h04lpMJiEgYxglKzS5Z8KMS3QqgCpSUsUCpSJgiFUML1c7qvHmPP17TUe+9qzN70cqPGMI8O6hPb4SHhN7w+fr26AGH0+VvqjQfBNCz1QNuYl5evGaTUqXsP2LgQLSVgNuVkCQJOw4ehN3lPPzWQxPubvcJfwG8uOyHVJZITw7s3btJ9KqyMB+C0wFTWQlqyprvXrt+/ocwlZWCYRhIkgiuboFW5HmwnAKUUgAUD/3pDc8xu1YshcVYibueet6zbefyxci8a2IjB8RYUoQNn32MyOTUVt9HUv+BiOvVD2V551FbVdnEARFEAaLFTAil2SUlJesA/Pbyc1CZaBXcjdcFS7IEUIr3p06tbmkMpWCUXagLliwDDou5FvA+ByQkPD5RpWAZcG0UvvIGWtIiqaiuRpWxGsdOnwbDsqCyDJ1Oi5iISAQHBSIoIAAMaT4MbbXbkNCtY0SZujImcw2Kz54GfAKEXktQeFRkRFjHqBt3JQghUClVUClVQPPBoUYemyhKcPJOhud5pYsXlBabzf9Mbi7i4qIn8k4XeFGkvCCAFwQIgkisqiDMWboSLMNQhjAyCEQCxskANglyjcCLJRRyFcCWEyqXiyxbpGRokewi+e/8ekLLBZg3G5QyLy37fodSwQ0dnpmJtkotIYRgUJ8+ZPPuXT1eWrp65dvTJkxqkxN3MeZ+vWY5x7JjRw0aiI54kJJlGbsPH4LDbr341tTxA/Fgu0/5i0DB0B2JMd1IoL8/CnKOouhUjmefKPBgOA6EYWCtMeHA2pWefSkDhyIgNBzjZj0HAMg9tA9HN/2IyXP+CAD45s15yBw3Hgl9MpvMOWj8ZKx48884tH41+o+bAFkU4XLYEd+rb6NxDMNAoVLhlkdnwmm1QK1vnFq7/4fvEBzVDYn9BjQ6hmEYmCvLkbNlo2e7w+kEKIUsyyWEkOGzZs2aNn/+/KWNLaNKRRtEQARBBMuwV0z3kmWJdKUidBACa42pCvA+B+TBmPSeiAxv+yJUb6KpFgkPk9mMqhoTysorcPrCBbAMA1GWoFVraURoCAk1GGAIDIRSoYBMKVw8D0NgYOe+kS5ASWkp8nOOAj4BQm+Fi05N48JCfdG8G4XjWOg5HaB1PyDrbTacy8tH77T0+iFNQkySJEEQBMKLIssLPCvwoooXhQBeEKN4wdXDxQvgeZ4KggCnwEMQRUAhkdmLv4NSwdklXpj91vQpn3Tg2+xQ5n3+eaA9e/VJvVYXOWxAJlTKtu12yHEshg8YgM2790x8cdHKv743fdJrbTqBlzNn2cpPOELuHzVoUEsNItoUCuDgiRMw1dZWa8P8UkGITxeqDZi9ZNVhKkmhYSEhAACN3g+B4ZGe/cyJo5d+Z1lo9P4AAN5hv675jEWF2LLkc8iiCFahQN7RQ8g7dhipg4aByjK+/9c7nrERiclI6j/I83rtf96HUqvFuJm/A6dUouTcGZzZvR2jHn7MM+bkzq0oOnMSgtOBiyePIzqtB7T+bpvLq4woO3uSshz3miAIgQqFoslijExlVtEGdRm8IIIwtMW/0Tlf/RhGiaNN64vbE1ESQSFDcDgqAe9zQO5I7j8AEeEhnW1Hh+IuVg9FRGgoMlJSIYqS2yExVaO8qorkFRaioKQYkiRByXLw9/MHy7D4BWSs3DBVxiqfAKF3c29obDwCu3DKpbciiiKYVu4RLMuCZVlcueFxU8eFUoqLZWXaE2dOf/xK9pq/OwV5xgePTPz2Ruz1Np7/PLuvQ6fdE2YwqAb2ymi3L3mtRoNhAzKx48D+P7z41bdH3/v1lJsqWvvss8/6OxyONz799NNnGm5/5pXXDhCBz+yVkgCtRtPqeQ6tXwNJFDDw3imebcaiQkiicFV2qPX+KKiqQnlVpU1rNybNGzvhF193c8NQysxdtmavSq3sExsVhd2HjiAzoyei4hMRFp/oGXZi26UMaK1/IHqOuuWGpg2OicV9c1/Hd+/8H/qPG4+4jL4AgJXv/Q1qvR8mPP8K9q1ZgfL8XAy4exJMDdK+7n7mBayf/yGWv/En3PLrLGxd/F+kDRmB2B69PWPUOh2UKjVkUYRfcChKzp1GTbn7HFEDhwMgVK1WH5dleeLHH3+86nL7ZEoZZRvUZQgCDwKu5T9whSOBY7uG8wG462ckFw/UCSt6lwNCSN/whGQYfuGtZbkGWiTdk5MhSRJqLLUwmsworSiHscYEhiH4afsOsAyD8OBgRISHIcRg6BQ9Em9FEESIlKL0/FmfAKGXEhof/2tOpYL2JhSr6mwEQQRpp05ChBDERkYiJjwchSUlQSfOnVvxytdrKmXID7714MQuH22cvXTl/Rxhv06K7cZ0T0pu9/mC/P2RmdGLHDx+/OtXFq3Iv5na8/I8P5MQ0qPhttlLVsy27tiUmR4Zia1ffoIRU6d7HiKX/d/vwSlVIITAYanFlJdeh9bfHzazCYLL1ejcFw7vh7Xa6HktyxJKz59FZHJakzoENjgUFo2fbKf0sTd9tU83zAPZ2crEr78/qdNpE4cNyCQqhRIBej8cOJ4Du8OJkysvZSXxrku+nrGoEKs/cNdxcEol7n7mRZzYtgkXDu1zj3U64LLbPGNcVisOrl+D45s3AABC4+IxdPJDnvPlbNmICwf3QRsQBJfdDlmWAAC1VRXwMwSDuSydX633w6TZr2H7si/x08J/wS84pJFTCwCJfQfAbq5BbVUl4jL6YP/332Lsr7Kwc/ki1BorAQLZZrM9Syl9GsDnDY+dN28eZ5VltEUKFi+IAKGulvbLghyrUKspmlkk8kYEUQTvcgB1HUm9ygEJie4WxXEcNOpW1uN+YbAsi+DAIAQHBiE14VLr38rqalQYq1BSWYnSqiqAUoBhEBoYhJioCIQGBXdITq23Yqo1w1RSDNHl+qGzbfHRPFHJ6SN0KnXXuHt2MURJBMO2bytThmEQHxODbpGRuFBQEHo2L2/TK8tW54qydfI7Dz98rF0nbyfmLF01jyXsnzIzepLI8LAOmzcqLAyWxHhyLq9gx5yvfuz2zq/vrOiwyduJWbNm/UQpHUoIKc/KytoN4FE2IHC+6/SJMYTKKDl+GIHhUcg7chA2sxk9ho8GlWWMf/YlqLQ6LPvL7z33BoZhmzgVg8bf1+j19mVfIiA0HLc9/lSj7XkXL+LEufMIDQ5kqqqql7/89RqJgJ4RRWmZ3sp9PG/W+Kp2vAw3HW6les0FPz992LD+mZ7GAZFhYRjSrx/2HjmEmJG3ITXRHQX5oUFKVHBMLO6Y8RsAgMtuAwBEpXWHNiAAuoBAFJ0+idwjBzBk0gMAgK1LvkBK5mBEJqfCYbV6UqEAdwppQp9MsEoFjm5cjwdf+xu+/+fbKDh+GMbiIgyZeH+z9ou8E5UXC6DW6WE1VePc/l1IGTjsqt67IIigDOuCJM0ghOy9fL8lplc0w7Bt0lRFEARQWba1tJ+wXIyqS7XgFeC0WAGgBPAuByQpIimFMwT6UjFao2Hr35Q6LZKa2loYa0woK69EWWUFKk11TRMIEG4IQVREGEJvsPVvV6Oquhq5Rw8BPgFCryU4Kjo4MtJXgN4eCKLYIe1MAfciSWpiIuK7dcPp8+cTC0pKjsxZunLoO9MmNfmC9mZeWrJ6Nccw44cOyERQgwedjiItIQk2u1NZXF5+5oHs7PCurgMzf/78O2bOnFnNMMyfIyIiltak9JtAaqtG90hOxZE1yxHXqy90AYEAALZeuI0CRzeuA8NxkEQBhaeOIWfrz+AddlCZYsVbfwbvdODB1/4OhmGw7uP3IbhcoLIMS3UVNP4BWP3BGxAFHpxCCV7gIev9cfevs6Cva5Vtc9jZssqqHiVlZX+uJua/vLL8e5ckilslif7vvUcmLfHVhrTMc6tWhTud7FlDYID/4L59mqQmhhqCMGrQYGw/sB/yxWIM6N2rxYdxVV29WlB4JILqakaqiougUKkRFp8EACAsC//QMM/rhsiCgOj0HuAdDs+2XmNuw97VKyAJAuJ69XNvbOC4ll04g82LPod/SBjuevp5XDi4B3tXr4AsSUgbMrLR+Z02K3K2ugvQd61YAqupGmpJpIxGWyTxrlRBEG5vYpOWxCsVbJtEJQRRAJXkmpb2U4hRSkX71061FbzIw2GtBYAiwLsckAcT+/RHTLSvs9O1QghBUEAAggIC4K/3w8Gc4xg1aFCdFkkVKqqNKDe6F3gIgFBDMKIjwxFmCGmTMKG3UlRchIr8XJ8AofcSGJWcxoQE+QrQ2wNBFMC1cwTkcpQKBXp37w6tRkNOXcjdPuerH2O6wkr+vOxsvUNWnVCpVLEjBgzo1Ch83+7dYbPbApNq6UEAvTrNkDbg6aefHi1JUpUsy+8bw5Kq1U7rN7YTh4mRSpBEEQXHjwAAaqsqMeH5V9wHEUCt04NVKAEQxHbvjbTBI7Bl8X/BMAxGTXsMS+bN9cxRU16KafPeQsm509izMhtTXvoTzJXl+HH+Rxj55LPYumo5VJYaj/MBuDtTJsXGIik2lkiShOoas6qsqvKO4ory2+d+veYr8vXqSlGmK3nieOufDz10oQMvmVfz7LJlSRonmxMVHqbu26NHi47FoZVfgy8vw1mXC+fXfgOxhRQsADBExWDE1Ome12XnzyAgLLxVW2RZhijwCAgNR2Vhvmd7XK9+2PHNEsT17NPkmLyjB7Fz+WIk9h+IYVOmAQBSBg4DYVjsXbUc3Xr0gdbfH8biIuQdPQRZFDHwnskI6RaHkJg4FJ85gcMHDoABqZUJsQYEBJiee+658A8//NDzjEFk0q2tdDkEQYBE5cqW9jOUhCsVXJdJIOAFEbaaGgAoBLzLAbkltkcGgoN+2fUfN0pVtQl+Wm2zWiSVxmpUGo2oMLkdEgIChiUIDw1DVFgYQoIMUHRAD/aOoF6AsDT3gk+czXt5ICQmFkEBHb/S/EtAkuROEypNjo9Hrc2qKKkoOzlv3ryI5sS6OpqZM2e+DyCPELIOwJfz588fBrj1C5xUPhwSFKgd2KcP2Oso6uSdDijVlwqpjSVFsNfUoFuPjEbjLp7MgeBqvfY5KSgQOQ5XxtyvVsyv2fFj9YIFC35/+ZisrKwfKKVfKRSKUx9//LFXprvJsvxbSqmOEOIvXTy9xj8mjrgUSgx/4BEUnzuFzLsmgnc6sfl/CxsdlzZ0JFRaHY5v2eDZxjvs8Au+coMah6UW6z55H6IgglLqTgUKj4DRbmnxGJa9VHPZKy2NWO12VFRVhZVWVGYZTWTmy19/77Cxzv7/uv/+0zd2Nbo2Ly5dPoyDaltsTDTbK/XKehpjprt1HXlewI4D+1G6YZVHNLBhChbgFgmsx1ReitILZzHhuVdatSdn60b4GZr+PWz6cgGUKjUKTx6DsagQwTGxnn1xvfpBFxDUqEAeAJIzByO+Vx9wSvfCw/ZlXyB1yEj0GD4aZbnncHTjOliMVfAPCYXMKCBZzRmEELPT6VxMKY0B4Gk1yAJRqjZa2HXyAiilxhYHECZE1QHd49oKQRBQ667ZugB4kQPiZwjpo9Lp4de8mrCPq6S8qhIxEZFNtrckjlhZbURlZSVKSsvAsgSEEIQFh6BbVDSCgwI6LIWjrakXIKwpK9nU2bb4aJ7o5LRpLKeA2lfz1S64eBfYTlxQ6Nu9ByxWW7A1vd8OAEM6zZA6KKW9KaUqSukmlmV7AsDz2SvuUcjSqviYWLZHagoOr1+DM3t3gGE58A47VFp3c4T64mdWoQCVZQyb8pAnvaPk3GlsXfxfTJn7uiel5MhP34PlFE0ckG3LvkBcRh+QFvSd6gkMj0T/jL7YfWD/E3DnSzdxQAghfQH4iaIYCyD++q9M+0EpfZpLTe0r5eVv6HX7PQjz88OGnMPY9OUCCE4ndn+3DLIkXXYUwbpPPgDDsBD5S/W3jtpaxDazqt0QlVaHkQ8+ioqSYuxevgi909JRe/4UWn6Ca4peq4U+NhaJsbFElmXknD2jKS4u3Q7gxtUnuyjPZ6+4h5W51elJiUxKfMJVH6dUKjB68GAs+2kVdh86iGBJgnt58BIMx0HkeZzY9jNytv2MjFG3NnY0KQW97G/EYqzCia0bMfpXT+LIhrU4f2gfGJbFyvf+BsHpxMQX/4DcQ/uxfsFHGHjvFIQnJEGWJfy44MNWbQ6PT8Kk2Ze6YTMMA11QMMZMfxJ7Vy1H+cnjRBEWPVuuLNkniuJehmFONTyeMohUtlG7bkEQqEzQcgSZQUhbdNvqKBx2GxwWM+BtXbCiU9OD9Rr1L0INub2QZAkWqw1x0dGtjm1JHLG8sgqV1UaUVFS4hXgIQVhwMGIjoxBsCOwy/aZN5hqUnDsNAN90ti0+micsIbmfn6719ps+rg9eENGZX04Mw2Bov/7YtHvX4JcWr/rP249MfKb1o9qOp59+ujel1JPrUeeAnCSEuCil6lmzZv1POn7iAcZPx6qD/EAA9B83Hv3HjQcALP7THEx99W8A3MXNIs9j7K+zmswTlZKO4OhuWPfJB5j04qsAgOqSYvS9vXmB7WH3PwLebgPDsVCqL3V/O39wL0rOncaohx512wtApdawRKHUA0BWVtZKlmU9TzayLBsIISUAuKysrI8WLlz4uxu5Xu1B6NixGpHof7BcLILCVouCwlwo1Grc8uhMZP/9NQyd/FCTCAghwJ0znoXG3x/L/uL2u2RZhtVU3UgorjkkQcD5wwdw4cI5MAyD2Oho5Jw/dcVjrgTDMMhIS0N5pTFkzrKVn7zz0KSnWj/q5mL2om8fZWXF533S00ls9LVrtLEsi5DoGPgHGlB09hQigpv6cfZaM/KPHcbw+x9BfO9+jfb5GYKhUDfukmgzm9B9xFhEJaWBgduJOb55AwyR0RjzyBNgOA7pw0ZBbwhGQGg4/IJDGimoXwth8Ume+hOGU8Bv8CiIBt23H078Y/msWbOyCCGNpNJlkFAFp2iTB1kX7wLL0BZTyFmWDVV0oUZDNrsdvMPh8UC9xQHJjE7vTqJjfPUfN0K1yQyFUnFdna8uF0ds5JCYqlFSXgaGcWsGhBqCERsZieDgoBaV2jubktJS5B0/CgA/tzbWR+dgiIoOiIpsGq3z0TbwAg9/XfMS6h2FUqnA8AEDsHXPnqdfWrrqwNvTJv63o+aWJKlElmVPAwqWZbs12C1KkvQjGxh0a1BERKSf4frqkFZ/8AZcdhsIw4BSim/f/gtSBg6F02bFye2bcWrnVog8D42/H+566gXPcYd+/B75xw7jtsdnISw+CU6rBXtXLUfqoEudeHIP7QPNO02oJAZlZWV9BeAtjuNK6/fzPL+FUvoxgB0AvK6P9bz5a0LK927KhyQxMu+CJIhI7DsQZ/fuvGIEhDb6neLkri1gOQV0gYGN0txaIq+oCH46PWraqAU1QxgM6tsH2/bunzl30dov3pp+9542OXEXYPaSFbNZlnt7UO/eJDzk+vXZ7sx6FhRAjiEYBcXFMJnNCGqg/eQfEoqJL/6h+WNnNvWrIxJTEJGY4v49KQ0RSWnIGHlLk5a7Mek9mxx7Iwy7bxpW//wzPpw4sRwA5s+f//nlYwiVQtpKsJQXBMiULW1pP0sYv66kgu5wOME7nJ4PvLdYfn9SvwEI9RWj3hBV1dXQX8UN+mpoqtbuQpXJ5K4jMVWjuLwMLMNAoeAQEhSMmIgIhBiCmrRJ7Cx8AoReT7duad1JUJChs+24aRF5EarAztcF8tPpMLBPH+w7euzTVxatON5RGhcLFiyoArCo/nVWVtajDSLs/Keffrpo9uIV0/3iEyKb67BzNUx4/hXs+nYpeLvdk/e+61u3/sH4382FqbwM6xd8iClz/9TouGH3TQNhGPz02X/Qa/RtKMg5isDwyEZ6BIbIaCTKFFX5F4giODzPUV48lOf5hwGAUvoNwzC1sizbGIZ52GQyvQMvwl3UTy8k3nY3M3jwMCz/+2tIHz4aNlM1lGpNixGQ41s2QBZErP3kfTAMg8DQcNhqTCg6lYNbfj3j0gSUNplTkmTIhEFc5mAkhYXgx/ln2+z9BPj5ISm2G8krupgNILbVA24C5i5a9RZhmJeG9e/XJtpsBECvtDRo1GrsOHgQmRkZiApruzbXlzsf7QEvCGAZhj799NO9JUnKWrBgwbMN92dlZW1hAX9nRRnQSp0MAGxb9iX8gkPRr0G0tCDnKCTBrT1YW5gLe3lxyowZM6Y3dzxvrtIrua7Tp4IXeDjtNo+wolc4ILqAgFv9QsKw5+hhqJUqBAcZEBsdgeAAX0H6tVBeVYXoiNa7R1wPKuXlDglfp9ZuQllFBS6Wl4JlWCg5FmGGEMRERSA4MKhTUuoEQYQoU5SeP3uwwyf3cXVw3PTAqOhOaXX6S0EQBajUne+AAEB4SAjSEuPJ2dy8HfPmr4nuKN2FWbNmbaaUJgMApTQEQH0hsX9WVtZJ6+4tEScO7kb4I4+ByhTbs//nOVaWJKx4688AAJfNBhB4XitVaox/7mXP2Ir8XKz75H0wDAvB5YRap0fx2dNw2mqhakFkc+jkBxGVkoZty74CwzCYdlmKSFBkNAJCw3Hwpx+g6NkvyVlRogWwnxDiBDCcUmpjWTaDUvqHnj17/nX5cu8QUH8gO1vppJrcYEOg/+C+/dy9SCkAWYYsSx6hOFC3cOCpnVvA1BX+MwyL0Y88jqjU7mAYBhX5F/DzF/ORPGAIIpLSkH/sMPasygbDXtIEkWWK1R+8AZvDDsIQFG1YgyIAnEqF1R+8AafdCl0bPEtQQiEK8sUbPlEX4OVlq7IZhnlg+ICBCPDza9NzJ8fFQa1U4mBODlwpyUjo1nX8OV4QwTCMLMvybyilTYoXGYYZJDscptPbNyAqMhxRSWkAgEV/nA2Nn/u7zlFrxvS/vgcAcFqtUF2WXlZRkAvebgcAuCrLCDVVD2RZ9gU0IycgOxyKrqT1JooiXDarpwuHVzggoXGJPRUEGDNkCIwmM6qqjdh7+CgkWYZaqYS/nx5RYeGIjoyEd6yvex+yLKHWasWQyP4dMp9KqUREaCgiQkORkZoKQZRQYzajvKoSZZWVKCgrAcewUHCcu4Yk2v2w2REOianWDFNZMUSXa227T+bjuuiWkj6FY1m0VajaR1MESUZbFUO2BakJibBYbcoyUnkSlEZ0hNbC/Pnzx9b/npWVtaHBrtqFCxf2mL149QtBgbp3Q2MTCO9yYuTU6dDWPayueu/vuDPLvcC5b80KiDyPYfdNgyQKjXQHJEFAWHwiBtwzGave/zse+cs7OPbzepzZux2yJCM0Nr5Z22RZxtm9O8EplYBMsfGLT3DHjN82HUdlyIT5EcDky3Ydl2U5ixBS7g1dxgAAlDIJX6856x/gFzq4b1/P/d4vOASiJEKhVCE61S2KHhobD5ZTgHc6MGTKgwCAnqNuaXQ6fVAw+o8b79FniEpNx9BJUxGd1t0zJjimG4IGj4LL6cLIQYOafMcUnT6BstxzN/zWyquMFJC9w8trR15etmajgmVvHT5oIPTa9snsi4mMhEqpwt7Dh2G3u9AzLaVd5mlrBIGH5cAOAuBRQsiZrKys3Xq9/h6r1bqEZVmZUqpwnj8VqgkIwqntm2EqLkbPUbeAYRjcN/d1AMDi11/ynI9hGRCm8d/rwHsufcxXbtgAfus6PZXljQsXLvzV5fa8vGzNI4oOiPy0FRKlcFhrPS3pvMFydWi3OG1YSOgVC6NPnDuHoydPQqlUwl+vR3REBKLDw70m5aezqa6phULBQd1JK54K7lIrw4y0NIiiBJPZjPKqCpQbq1FYUgqWZcBxLMKDQxAbFYWgwMB2UcB2CxAeBoBl7XB6H21AaFxc9wC/zq1PuNmRZAkalXd1GOvXsye2798X8tLXq7e9DYzobHtkVjphd7i1/pQNxM94lxMggL4uRVChVILg0uuGuOw2BIZHNtrXY+QtOPnG65AlEff8dk6TY8yV5djw348hSyKmzPkjBJcLaz56C+vnf4hxs57zjOMFAVSSYN/yQ70jNYlSSgEcZFl2kSRJM2RZfrVtrsYNQinzcvaaM356fdyw/v0b1Qfe9dTzANzXuF7zYeyv3ClVtzRT2F+PNiCwkTicUq25JC5XR+TI21FdU4PRg5s6H4C7DuBGawFEUYLVZiN6oeaLGzqRN0Mp88rXa44qVYqMkQMHQd3O7V1Dgw0YPmggdh08CAfvwoBeGa0f1MnwggD/ASNqjRtXy7Isf/Xpp5++CwBPPvnkHJVKZeN5/rguvQ/bu0d3hSEwEFyd8DOlFDuXL3b/Lkk4vXs7TmzfBJfNisrCAlw8fQKC0+EplP/27b+AVShgtVhAgL4gJHfmzJnnAOgopTWEEA2ldI0sy0Sp8J5FptZhYDNVGy+96nymxGf0RngzwjP1dQj9MzIwbtQo3DZiBHqmpkClUuPMhQv4ftPPWLd1C/YcOoy8i4UQRe9YBOoMKk3V0Gm8p6MQV+eQZKSl49Zhw3D32NEY1LsPYiMjYbbUYseBA/hh8yb8tGM7jpw8gSqTCU2zeq+P4uIiVOReEAEUt9EpfbQxITGxuqjI1ru1+bh+JEmESuVdX04Mw2Bwv/5EwXDD5y797p/tOdfMmTPnzpw583xWVtbJrKysk4SQoQ12+2dlZZ20bVr/z+odG8iqDxunP+UfPQT1VRbw15SXIarBijwAcEol9EEGKLU6BIQ2/m5zWq34/p9vw98QjPvnzoNKq4M+yIBJL/wB5opynN23C4BbnG/L4v+CyjKlsvypQqF4TqPR9GFZ9l4AEs/zegBQq9VLn3nmmXHXeHnanLnLVh3QqjTJwzMHXHP79kPr16Dk3GkYiwqx+7uvr/q40xfOo6yqCiMGDLzqDo0WYxWspuprss9YUw0Fx9pKdu/mZs6cGQIAL7zwgqGl6z5r1qz5Tz75ZNyzzz7bJXJM523erH5l+fd5ep0+Y+yQoe3ufNQT5O+PMUMGo7K6Glv37u2QOW8EXhBgLzhP67rpvQYAM2fOfIBl2Z2CIPyFEKKy551W5vy4BlsW/xdqvTt9jRCCyOQ0RCangTAM0oeOxH1zX4chKgbJAwbjvrmvQ2rQjMFls+KOp16AOi6ZUkpzFixYkMKy7EsAhIULF/YghKxnWbY7pbRTW61fC6IkQoYMl8PhEVb0hgjIxIikFAQFBrQ6sEmnJp5HjdmMqupqXCgoxPEzZ6BUKOGn0yE8OATxcTHgGG94i+1PRWUlwsO9t005x3KeCEn35BTUqc/CaKpGhdGIXcUHwHAsVAoVwoMNiImMguEq/iYuhwKwOp0ozfMJEHoxmd3SelzX/6+Pq4NSClmmUCq9T6RKrVRi2IBMbNu777ezF3174N3pU75sj3kWLFjwFoC36l9nZWVtaLBCXrtw4cIeAPDSkpX/YFn2FYvVBj+9DrzTjkPr17TYRrchxuIiCC6nJ9e7nmM/r4elugoMy2H/D981SqtQ6/UY/7uX4R/S+H6t8ffHA6/+1RPVP7JxLWSFEvoRt24U92y5YLfbV4qimAKgAMAilmWXEUK28Tz/TV0r0E4Ld728dM1mpUrZb8TAgeCu44Go6MwJqHV66AIDUXK2+ba5O7L/h6IzJ0EIA1kSAYaBLMlgCMGKLWvBMAxkScKtjz3lSXs7u28XTu3cgokvXOqwtGP5IgSGR2Do5IcanX/Ray8iOKYbmsPucMLpsEuU0jWEkD0AXrDZbD0A/APA+svHU0ofZhgm0+l0VgHodOfwSsybvybEXmE5FxwQGDi4X98O1/7SabQYO3QIduzfj407d+KWoUO9NrOFF0TwpcUqQkgCIUSflZW1m1J6gRBSPn/+/F/NmjVrkqZHX12Svx6nt1+SIKOAp4X07pWXHGzB5fRoB12OIIpg3IemZWVlnRRF0Y80SFulLKthOaZdskjaA4EXIfE8AHiPA+JnCB6m1GivK9dQ3bAOIS3NU4dQVlWJgrJSnLxwHgqFAlq1GtFh4YjvFgWO864VwbZAlmXUWq0Y1Ldj6j/agobqs+nJyZAkCTWWWlTXmFFaXo78omKwHAulUoHQIAMSu3WD/1UUw1mtNvB2B2rKSnztd70UjuMeDAiPQIBfl1gc7JIIoujW8elsQ1ogwM8PA3r3wv7jxz+f/cX3Oe8+dm9HNIxgZFlmKaUqlmU9l+bthyf9fvayVYYd+/fNjJCcOL1zK8LjE5E+9FLqjyRJjVYoAbeC86avFiB18HBcPJmDfWvckkM/LvgIxuIi3Dnzd1BptVjz0VuwVFXilkdnQqXTX5UYmlKtxS2PzsSGnTupy+FY8eGHH1ZmZWWd1el099vt9qcopW8CmDt//vyPZs2a1amR3rlfr1nOMeyYUYMGXnUL+NqqSlw8edzz2mW3uwvLWQUE3oUT2y49vEUkJiM4JhYjprpT4J1WC759+/8QOPIOjBk6BNv+txCGiCgMmnB/k3mS+w/C0Y3rsGXxfzHmkScAADUVZeg99s4mYwnD4K6nXoAsik06Kq1evpTyJUU/fPL+ew/Xb6OUuggh4rx589QlJSV/bzieUqpkGCZPluXMWbNmPd5cu1ZvYM5XqxMcKpyIDAnVZPbq1Wk6bGqlEmOGDMaeQ4ewYccOjB02BEovfFbjBR7azGE7331k8h0zZ86sXLhw4dCnn356kiRJk5966qm1lFK17cg+cvby1rjU3SgBQKO20/baWoTExjU/Fy8AoBKAMwsXLuxTN8+lmwdhNApOQYGu4YPwogDB6QBwSVix0x2QiKSUKK1K1SZ/+A3rEAB3yMdUU4sqUzWKK8pw8sI5cCwHnVaLsOBgJMTE3BQqzCazGRzLQuMlHW+uB5ZlERwYhODAIKTEx4NSCrPFgsrqapRXVWHrvn0gDIFKoUSowYCEmBgENNNBqdpcg9KzPgFCbyamR+/xLHG3cPbRPoiS6LWriPVEhoUhNSGenM/L39URnbEYhtlFCCnkOM7mcrkaaTm8+9DEWbOXrjScPXb4/p5jbkPv0bc1OjYgLAJUapziyzsdSBkwBH1vvxtOqwUZY27DqR1bIAoiprz0R0/6xX0vvw5TWQkA4P6X5121vWfz8iC4eOdFjv8cgLxw4cJHAWDWrFnFkiTd9dlnn/0MAGq1uq/D4fjg2q5G2zBn2cpPOELuHzX42moGXHYb7Baz53ufypf6EVBZRk35JemDgMvSs401ZshUxrCBA6C9Qtrxt2//BZxCCYbjUHr+DFa++1f0GHkLRJcLxzb/iGOb3YGLwLBIDJ1yKRqy8YtP4LBYcNfTz0Gp1qLWZIL56H4ClvV0HpgxY8bdcEc2IkpLS7MAlDWcmxAiAjhHCNnPMIzpqi9MB/L859l9WSXZFxMRpejTI73Tn2I5lsOwzAHYf+wYft6+C2OHDvG65zOXiwcorb9PsU899dQ7kiRFAyj55JNP7p41a5ZFk5Gpz4gIwbGff2xwJMGE518BcKkI3Wm1QORdiEhovgBfcLfiFQB0mzVr1v9EUezW8DmZsJy6K9V/CIIAl80KACX12zr7CaBHeEIyExXVPmJkjdN+Lq2yH/lpLYprzTiXlw+OY6FRqRASbEBSbDy0mpb/4EsunIFCoWqxq0k9xzb/hB7Dx7i7m8AtKBUUGY2gVnLe844ehMbP3yOwc7VUVldD10IYr6tCCEGgvz8C/f0bOyTGapQbq7Bt/z4QwkCtUiEkKAgJ3bohwM/PLUB4widA6M0ER8ckBAUGdrYZNzWCIILp7CeKqyAtMQkWi01ZQYw5oDSqPTtjzZ8//48NXjZZAn932qQHXlmyenUpFONTeR7qBh3E+jWTjqXW+3nStNR6P6QNHoG0wU3r6pVqDcKvUWekprYWZ/LyqEsW7lj+0FT+svfxScPXH374YTmAadc0QRvw0pKV/2AJO2vEwEFXdASaIzQ2vtH3aNmFS12qVFodhj/wSLPHmWprcTAnBwxhENhKRHzKS3/Cxs8/RkBouEdfZfuyL8GwLEY++GsUnz2JIz+tbZKKNWb6E1j/yUdY8cY83PrYLOxYsQysVi99/P67T9aPYRgmkBASIsuyAkAgADPDMOMAQBTF+QzD1AJYRAhJ+vjjj3+4hkvTIbyw5NvRCobblJqYwKQmJHS2OR4YhsGgvn2Rc/oUNu7ahRGZmQgM8J5UXV7gqWXHT5OzsrLKAOgFQdjMcRxDKZ3w1FNPrZVlWeM4cRAnzjaOBNb7DSLPA5Ti4PrVsJqqERIT2+JCES8KgAwXIcQqSdKPDMNkAkhocFJ1V1rEcwk8HO4GWJ6IbWdb/6vEPn0Rcp0qtABgNVVj9Qf/wD2/nQOWaxr+Veu04JRup6J+lV3LsSjYsxn3v/xn1NqtWP/hm+B7ZSK/qAgMw0CtUiMs2IDEmFjodJdSw3I2/QSNn3+zDkjukQOQBAEsp8CxTT9Co/fz2HPopx8QnpCE6NQeEHgn/EJCPTnDptJiCC53W+SLp3Jw8cRxjP31DE/3BJVO36SI8XLKqyoRHnr9KqVdgUYOSYLbITGZzTCaalBeVYmte/eCYVnIoojaygoLfAKE3goTEZ+oiorwKaC3J6LozpH3dgiAzF49sWXvvvCXv/5+45vALa0e1I688fCECXOXrN67fd++QWMGD+mUKJ0kSdhz5Aggi//+8OEpOzrcgKvgxcUr5xCGeWX4gAHw01/f4tfm/30KweUCp1DAYvI0xoHTasG6T973vB47fQaqS4txZON6WJwOaNUayJKITV8uAADUVpTDXlMDq2kBKJXBqdQYPe0xz/El585g5/LF4JQqlJ4/605NZDk4amuh0ukQGN74XqRUazHh+Vew+7uv8eOn/wbDctAOGb2p4ZgFCxYsycrKOkcISV6wYMH/ZWVl7ZZl+SiltCfLsuMAOGVZHsMwzIcAvEqo4cVF303nWParXqlpJD4mprPNaQIB0Cu9OzQaLXYcPIABvXsjIsQ76lt5gYdu0C3/eP+JqX+ZOXNm5WefffbDjBkz7mZZtuyTTz65e9ZTT9kD+w9Tpwf5k6M/uyNsu79dBlmS8N07/wfCMIhKToPLbkPRqRxMeO6VSye/TFxTEETIkminlJo+/fTTRU8//bRVkqRLSqWEVXalNva8IMJaWwMAefXbOtcBIWSsITr2hjzcLYs+g0Ktwa4VTTRaAACJfQd42vhtWfxf1Fa6089kUcTK9/7mFkWSZbgKcwHkIiQlDaFJSSivqsamPbtACAONWg1DYBAkSkHY5i+Z02aD3eyOtFJKYSot9uSRyqIIm7kG1aVFAOARpAGADf/9D7T+gWDrvugM0dE4+vM6AABvd0CWJUye03DhrjGyLMNssWJQn75XecVuDgghMAQGwhAY6HFIqkw12HlgH4rOnDzU2fb5aJFx0alpCArs2PoPu7kG2oDADp2zNdrTJkEUwZKu0R2FYVgMz+yPn3ftGvvSslUfvP3QxOc70563Hp4w+OVlq45t37+/1+jBg8CyHXsdD584AUEU8t+aNvnZ1kd3PLP/t2IGyzJvD+vfH4E3ICTae+wdkMQ6xecVnrRwKLU6jHzwUQCA3WyCUq2BUu8Pp1oHRqUV/AL8FbUlRQhPSHYfW1UBtd7P81qjv9S9TJYkaP39ERgeiSMb12LavLewbekXOL1rK8rzzyMsLrFF+wSnAyzLQZJEOE8dMV/FW8olhNSvFhYSQl4EUHj1V6T9eXHpt7/jwH2Q2TODRIW3nQp5e5AcFweVQoH9R46iV1oq4r1AsNDJC2DUivpwHQMALMuqKaUcAFBKWQVLcHr3Nk8GTEi3WGSMvg1+we5F4vMH92LvquXIvGsi/IJDcGLbJhzZuK7Rc6Ekijic/SVcLmcgpbS2rggdAGxZWVknKaURDAtBrVR0gTi3G4EXYKkyAt7igIR2i+3FsWyjUPe1sG3Zl3BYasG7nBCcjYvYbTUmDBw/BcmZgz3b6ovQ6vnp038htFs8+t15b5NzJ8bGgVKKmtpaGE01qDBWwmyxwMKL2LxrF4KDDIjvFg3/ujzfHsNHAwAunswBw7Doe9tdYDgOTqsFlFL0HDG2xYeN8MRkaP2aOmHmijKU51+44jWosdTW1X94V65kR0MIAQFFTWkJnFbrj60f4aMzUKjVU/TBYddVgH5u/y4YomIRHH1p1W7DZ//GrY8/fcV6B1kUser9vyO+T/8m6RbAtQmVafT+jcTS7OYabPpqIe7+zexrqrm4eDIH25Z9gbGPZjXpoNQWCKIIhu0y301QKVUYnjkA2/fv/92LX327871fT+lUwbc3H5zQd+7Xa87vOnQwYfiAAY00LdqT4vJylFZWSi4NHdIhE14js5euvJ8lzIJBffogOOjG1MWDYy49UHINurUxDOPRVNEHGSAIIg7n5lJFbOJ6VpR+sknie6yCI/Wfw4unc2CIiGoiYggAvNOJ5P6DkD5sFI5sdHfK6nPLndj4+SfgnQ6Po9MQp9WCnz79NxyWWoz7zWxs2fgTbCcOTc7KyvrzwoULX79sODtz5szn3dIseALudKzvAKwF8Aal9Dl4CXMWrfo7B+b3g/r19dTJejvdoqKgVqmx9+gROAUe6YnJnWqPIPCEErEAACilJwFAFMWzDMMsBQBOp8/lOGWawj8AfW+/BwCQMnBYo3N0654BlUaHbj3cuicpg4YiLD6xUWZNVEo6DANHIP/ixR/enV6n0tmAWbNmTeMM4X/zxi6HLeFw2GG3mAGgvH5bZzog2tDYeG1reZwtsXXJ5zCVFmPC86/gmzdebyIQZTPXNCpsA9wdBzZ8+i+QugcFm9mEmvIyXDyVAwBgFQrc85vZAIDKwjxs/LxRqi0kd1EQSn9aiWKZ4jhx3yz73X4P0oeNgsVYhe1ff4m+d9wLa40J/iGh2Lv6G9SUlaL7sNGwmqrBKRSe4sR6LMYq8HY7eKcDxWdPIb5XP09xXtrQUVe8DlXG6nZTK+1qGGtqUHDiGOArQPdaYrtn3K5gyDWtKltN1ajIz8XxLRsRkZSCiIQUBISGwVxRhor8PBxavxoA0H/cBI8TsPHzT2A313jOoVCpkXvoACoL8hud+5ZHZ0Kl1UKjb+wQHf15Hbp1z4AhqnFbTpWucbrJgXWr4HLYr8r52LvqGxTkHAFbl17JsCx2Zi8GU3ctRJ7Hg6/9rfULchWIothhD81tRYCfHzIzMsjB4znLfrfs+1MfPXRvTqcZQ4icl52dnmihhXsPHw4f0q9/u3cIsjscOHL8BCQq/erDiZPLWz+iY5m7JPt2ECa7f8+eJDzkxlJ+j25ch4uncjyRf4vR05mzUQoWpYBdkqHp0ffQWw9NuBsAnn/rg3eVWt1V/WdYTUZEpjR28IMio8FwHAJCw5s8N5jKS7H23+/CLzgEk196DZU1Zqgjo02W4wceJ4SsmDVr1o758+dveOCBB/SEkKcBpMiyXEopfY1l2XwAkZTSKQByKaWUEPLpAw88oF++fLn1Oi9Vm/Di0tWfKljy5PABAxFwnc9cnUVosAHDMzOx69Ah2G0O9O/Vq9NskUQJaskvDwAWLlw4EgA+++yzHACvAIB64IiNarUmbXCDFMDLUWkvOR+Au0bs8rT+Wx6dib1HjlLKkgo0w/z585e+vGz1n7uSCrrNbgPvdDTKM+tM6x/s1j0DUdHXJ0Y2/P5HPCEuQggyRt/aaH9NRVmjhxze6YC1uhJDGziT+77/DoFh4UgddMlDrci/gJDYBITGJmDa6282OufqD96A3WLGQ3/8Bzbs2IGU+HjU51Caykvx04J/oufIW6BQKrDmwzdx38uvo+j0CfgZQrDpywXgXU6wLNskparH8FHQG0JBZRmVF/MhSyL6j5vQyHaluvkiv7LKSoQGX38Nzc1ESUkJSs9fkAFc3XK2jw7HEB0TFXyNq28umxXVpUWQJQn2ulRGlmOxf+0q9L71TlSXFqM89xx63zoOyjrl78rCPNz2+NPQ+PnD5bAj99A+dB8+ptF5f/jXO3DZ7Qit+7zXc3rXNjAsh+FTf9VqZOXiqRxwCiWy/9ZYjFoSRKj9/DB59muebQ6LGTHpPTHsvubrhZfOm3tN1+VKCKIIroNTh9qCyLAwJMXFMrkFF/c/u3Zt+D/vvru2s2xZPnUqP3P+/EQKpvjAseOBA3q3X5tSSin2HD4CGfLqdx+evLRdJrkB5ixdOZiAWZ+RlkaiIyJu+HzdR4xBUoPshJ+/mO/5vT4Fi8oy9h87CslsLn9j6vhBeBB44IEHlI68M3Jo34GtetfGokJQSpvUUJ7etRUumw0umw3FZ04huoGIZFB4JEY88IhHbb3cmAdRFLZ8+umnq37729+m/Otf/8oDgKCgoG0ALppMppDQ0NBwSZL+LsvycAAOAGsJIZ8RQkoA/C8oKOhWuCMjncJLS1avViiY8bryIjgqomEro8g9chAjWij0vx5kWW50rzQWFYJRKBB0WX1NRSsZHfVo/ALgFxwCu7kGlRfzEZfRF2OGDMb2/fuxc/9BDB+YiS2LPkO/O++Fxs+/xeejtkSWZVAAf59+Zzl+1fwYIpNQpZJrk5sEL7hAIbe4EEEYLuBq2157A06HEy67vVFUoDMdkPFxPXsh+DrFyLgGaVtBkVHYsuRzqLWXcj85hRJ6w6VVmqriQhzdsLbROazVRjhtVliqG3d/vPWxp5r9g7aaqkEIUJJ7AQ6HEzGRl27ERzeugy4wEHlHD8Jqqsaohx/DnlXLERzdDeNmuaOwF0/m4MDa75qc9+D67yEJAmxmExiWQ015mafADgBi0nui/7jxTY6jlKLGYkFm785bEfAmzFYrKgtzvW7l0IcHbWRiMhcRfm0PMLrAIJhKiyEJAhwW9/Mop1RB5F0oOn0CVRcLEBQRiV3LF2PMdHejmsQ+AxAUEQFOqUbe0YPIP3bY0wmnnsR+A6Crqz/b9OUCmMpKoFCpUVtVAW1AIL7/6C1YTdXQBQaBEAKX3YYH/vB/nuM3/e9TqDRajHro155trFKF4KgYnNmzHSd3bm3yXgqOH0HphbMAAKfNCrVW52mRotS0XSRTEAUommnK0RVIT05GrdWmJtXVJwA0rwzXQSyYNcv+QnZ2UnmVsfDIyZO6fj17tss8J8+fg8PpNL/10ITJHd/P6srMXrSyB0OYnWnJSUxbFS0r1ZpG37Esx0KWJMiyBEIIdEEGHDh+HDaKam1yTDwIkZ955plxoigukik96goIznTxPFRKJUBpU40WWcbmxf9F2qDhyD18AKf3bAchDLYu/QLFp0/g1sefgtNSiy2LP0PvW+5ErzG3g8qyR6vhaF0LVavdBsnhHJiVlXXS5XIhKysLAAoXLFgwAHWNTl544QXZarWmyrL8GMMwGQDeJ4T8H6X0MwC5AJxtctGuFUqZucvWHFAplf1GDRqIH//zHmrjk0AIQWVBbrOHbFv6BUrPnwUIIPICFCr3c5bICyAsA5ZlIYki7n7mRY9jd2LbJpzdt7PRwuqub5ciOrU7ghospALAT5/+G1Ep6a2aHhafiIzRt6G6tBind21DXEZft2DhkCHYvm8/Nu/ejdJzZ2C31EKp1uC2x5+63qt01QiiAIZl6BU79VEaolK0zX2XFwRw4EpaHEBkXVdqw+sSXHA57ELDbZ3mgHBq9UA/Q2ibiJEZImJgLLoIv/puWhQQXC6wDZwUfYABUcnpjXJNz9l2QW8IRmSDHGyBd8FSVdkoPxUA8o8dBqdQIH34aOxd+TXUmcPBNShIH/PIEzAWFWLDf/+DEVN/BUNkDHZ8vQh+wcFNlHAbIksyRj/8OPRBBqyf/yFYjkNUyqUVmbhefZuEieup1//QteGDS1fF6XJBFkVUFOTt7mxbfLTIfVGp6dfcdCL/+BFo/QNRU14GTqmCRu8PWRTwyF/eQc7WjWA5Be6Y8Rss+8vvAbhTOELjElB4wp3Bk3t4P/xDQpF7+ECj8wZHx6KmogwRej+4HHakDRmBjNG3Yem8uZjy0p8AuKMSdz3zApQqtad/OwAc37IB5XnnodLpsXXpl1BptKCyDHttDabNewstEderrycCsvK9v0Gl1eGup56/putxNfA8D8V1KFJ7AwTAgN4Z2Lpnb8zLS1f99Oa0iXd0pj3vT51a/UL2mrTi8ooLKqVC1SMltU3PbzSZkHvxIpUl66j2bEN8Pby6dGk3kbCHUxLi2JS4+HabR633g0KtBsOwUOv0yDl9CuVVlTat3Zg0b+wE5wsvvGCw2WyfAli28JNPfvvymLsLCouLY1MSEqDW6aG67DvQXF6KkJhY9B83HhX5uQgKj4S5vAzGokLc++xcjwq9SqeHvdZdXz79r+81OofD6cTGnbvoWw/eG3el/5f333+/GMBgAMjKyprJMMxj8+fPXwoAM2bMuI9l2Rfb7kpdHfM2bw6sXfi/i2J1pT48PBw5m9bDZbeBYVn3YorDjgNrV3rGx2X0QWhsAkbVpQ6ZK8ux9uP3MfVVd0ro2v+8h/DEZGRe5lAA7mjWqZ1bsGXRZ54FIEu1EXG9mwojE4bBLY/OhMtua6IAfnLnVkCW0WPkWM82TsGBAuCdduxf4168VVOKSqMRkiRCpdWitrICZ/Zs9zQbai9cvAgGV/58chwXolC0TV2GIIgg1HWxpf1EhrIrpWCJogSX1dbIGe8061MHDIlmGAZlFRWIjIy8bsXeQ+vX4PzhfeBUKsT26IPuI8ZgzQdvgOE4BEc1Xq0ReBcE3uV5baupgdVUDf+QME8ednPIsox9a75Bj5Fj0WPkLTi5YwuUZY3/LgpyjmLH1/+DQqPGyR2bIcsy7n32JbjsVvy48F/oPmx08+eWRE9xusVYhcjkNDis7lXe3MMHwHIc0oc1XwdiNNVAq23/0GNXwGQ2o/JiAQCs62xbfDSPRq+fpA0IRICfvvXBDYjv1Rc15WVI6JsJAPAPCQPHcdi5fDFqKsrgsNRi5/LFkEQBe1YuR0Lf/jizd7vneIuxCkqNBmf2bgdvd8BiMnoK2YOjujXR3ZEbrIRKYmPxOQA4s2c7jm5ch5EP/gpHNq5D9+FjkDpoGBy1tVj53l+v+F5Kzp7ytGMUnE44rZZLCrmyBJVGi7uefuGark9zCIKIrlSgeDksw2JYZiY27d55+4uLVv71vemTXmv9qPbj/anji1/6/JteuYWFJzmO41ITWu6edC1YbXbsPXwEsiC9+s70h4+1yUnbiHnz14TYCc7ERkYq0xKvTcfkWrnt8ac9v9vUapzLyxckq9hz3ozHawDg/fffrwbg+UKXKf3zhYLCz5Lj4z0PvQ0Jioz2NJ0Ji09EWHwi+t1xT5P6yytpblUaq8EQUnUtTuHChQunN3z96aefroW7IL3DeCE72+CosObKlOqDggzQ+dct+LRx+iDvcmLNh2+6U90ZBuX5ufj27b+g58ixkAQBO7MXecYGR3drpO2y6asFcFgsuPvpF6DW+8FirMKh9avR+5ZL8jwXDu1D0ekTsJmqcXr3DkQmX1oojkiRsfe7IphZFXqOvg1BrUgVtAWCwIMQRrjSGEJgULZR625BFInI6Apa2i9TyiraKNrSEUiUwmF1C4HU01kOSL+gyGii1Wpw/NxZHDp1ChqVCpGhoUiKjYf6KhW9y3LP4fzBvbjnmReh0ujw/b/eRs7WjVDr/XDPM40XHfxDQjHg7kme19u//gp6gwFh8UkoPX8W4599ydM293J+XPAR1Do/ZNSp4xoGjUDFzk0oPNkbsT16AwA0ej8Mf+ARRCanejx7WZbhHxKKO7N+C32QAabSxtG0knNnwCqUYBgG5/bvhiSJGDH10v2roThTs++/sgJhN6ChcjNRVW1EQc5RAPi2s23x0Twx3XuOUDLsNRdHq/V+yDt6ELc+moWqi4U4vWsbbnviGegNwcg7cghVRQVIGTgEhSeOIbFvJsLiE3HXU+6H+Pxjh7H/h+88r7cu+RwaPz/ckdVyh1OGYTyqtc3VZST1Hwi13g9xGX1xZOM6XDi0D5UFeRAFvsnYhsiyjOj0nhg6+UGcP7gXJ7ZtwsQXfn9N1+Jq4UURet21OXrehlqlwvD+A7DtwP4/PL941aEPHpnYqZ/ttx+//9zzn2cPPJube4DjODbxBtqCyrKMs/l5OJebDxB8/c70yf9oO0tvnHnZ2XqHTC9EhYVpevfo3voBbUTexSKczy+QZNk24N0ZD7f48PX2tIn/ffnrNZ9UGqsVYSFX9x14ufPRGuXVRggCv/GaDupknlu1KlzFM+dCDAa/1MxM7Dx4EEHpGYgKC8P5A3s849Q6faPnoetBqVLjvrmv48cFHyE8Idkjyrnx84/BcgpMeP4VnNu/G0c3rkPmXY0jJ7c/8Rv8uOAjfPv2XzD64SewZ+XXCE9IQu+xl4KdSrUWSo0WLMdBo/eDxViJkvOnAQAZo26HUq1GQo/eyDl5DLekZqC9EQQBYOQrptMREL2yDVJfKdwtpP2j/Fps4yxTmVF2IQcEYGAzNxD8Qec5IL/qlt4d6ckpiImMgN3hQIXRiOKyMvy0YysUCiWC/PwRHRmBbpEtC5ZFJKZg6qt/hbGoEHt+ygbvciIgJAyWaiO2ff0V+tx2VzNFULnY/d0yUEpx929mQ6lSY8fyxcj+xx8x6J7JSOw/yDPWXFmOn7+YD4ZhcO+z7gcRmcpwMkoMnvQQti39Egm9+2Po5AfhsttxYvsmHP15HSilUKjUSOo3AOnDRnsKXGX5Up6qLIrYuXwRug8d6ekDPfbRGY1spZcJ01y+z1Rbi34Z7f/B6wqUlJaioiBPAFDd2bb4aB5DVExI6HUKZsqShJytP8NltwEALp46hsKco7CbzXDabcjZ+jNA3KudDSk4cRS8w44dyxej+/DRKDp9AuNaSXmilHpqsJqLgHBKNeIy+npeK1QqqHQ6KGUNotN6oOTcaZReONfE0XLZbTDURWVNpcWw19Z4oh8uhx0BoWG4Y8Zvr+m6tIQoiOhKIlUtEeDvj/49epLDJ04sn71oZa93p0862Zn2fPD41CPPLfl2TM7Zs1sJYZi4qKhrar8MuKO1B44fh4vnayBxd701/e49rR/VcTyQna10yOrckKAg//4ZGeioZs6llRXIOXuGSk56y7uPtR4NkiUp+8LFgofDQoLbxcTKqirIHPmiPc7dHvxu2fcZaqd8MDoiQtmne3cQQkBPHcKW3Zuh0Whgr7n01WirMXnuPQBw9zPPo+j0KRzf8hM4pRKiIEISBE83MnNlOey1ZlTkX4AsUWj9/DD211me4/OOHUJ1SRFUWh1MpSUgDAOX3QZTWQlUer8mzh+nVOKe387BgbUrsemrBVCo1bj1scZ1HN16ZEChUsBSVYGUgUPxw7/fRWzP3ig9fwYVhblgWBYqmxnOsznYeTAWg/v0Rmhw+wky86IIKsN2xUEM1G0RlZBEEQxDMG/s2GYdngeys5VUkNFVUrAkSQKFDJfN1qjgurOsHx2RkIzgwEAAgFajQXxMDOJjYiDJEqpNZhSXl+H4mTM4euo0NGoVosLCkJIYD46pE/eTZXzz9z9CEHgoVCpEJadjyuw/QuPvD6fVgt3fLsOP8z+CJAoY+6ssqDQa/Pjpv8CyHNKHjkSf2+7yGDPigUdQkHME+7//DrtXZmP0w49DqdZgw+cfIz6jL4beN83zJWMym6HgWKT0HwBDeAS2Lvkv8o8fQUB4BCKTUhGX0adJ/Qjg1iwpOpWD6LQeAIBzB3bDLzgENRVlKMs9jztmPONxVESex/J//AlUlhCe0Hzou6a2FhzL+Frwwr1aYHe5UJp7Pq/VwT46i/DolDQmPOz6QuWXZw+kDR6BtMEjkLN1I0rOncEtj87E4Q1NMx1GT3sMJRfO4MiPP2Dtv9+FSqe7VCt2hcnqu+pdjT5IbM8+jTrpbfpyAarLSjBk4gPY/8N3yLxzPBiOQ21lBQbVFcLnHT2EwePv8yx4HNv8E4rPtN2zNS8KUKm6vgMCANEREai1WJjzhYUHnl27NqIzO2MBwIcPT9nx4uJvxp86c/a7Y6dOKv10ehoSZCCGoEAEBwRCo2lek0mURJw4cw6FpSUUVPq3NwoNzps3j7PL6rwAf7/QQX37tnvr4Xqqqqtx4PhxSkV52ruPTdp2NcfwOjK70mh6xOF0QaNu23RDq90OUZbo+w9N/qlNT9xOPLfk2xEqyFviY7qxGamXapRunT4D5/LzUFRSAnrikj6vLjDIE+W1mqrBcEqEdItDz5Hu+57DUoujP69D2mB3XcXRn9chMCzC0x2soUMhSRIiEpKR1H8gNvz3Yzzyl3ew6auFOLl9M8pyz3meeS5HlmVUXSyAQqWG6HLh2M/rPVGUllDrdGDqam/1QQac3r0d+uBQsCyLk+cvYHR7OiACD0rlKy9wUigUbZCCxYsCwDAtrkB3k3XxLCt12OfzRuEFASLPA0DnOyAhMXHdWYWi2Rs1y7AIDTYgNNiAvj16wGyxoLyyEsVlZTiXnwelSoU7Ro4CwzCY2kLPfLX+knfOOx3glCowDIPxz871qFFeTlxGX8Rl9IXLboNCrQHDMJj2+ptNVreqTTXQaN12B0fHeIpVATSpOWlIn1vHoffYOxBYF5FJGzISaUNGNmlfB7hXB+566jn4B4e2mBZWVWOC9hcuPliP1WaD4HCgtrJie+ujfXQS0yKTUhF0jQXo9bCcArc8OhMl507jwA8rmx3Tr4UvL95mh7mqAkn9B8FhMeObf/wJKYOGNWoMQSmFzWRyt4m8LPJYVVgArsUvFQJKG6eI3/LoTADuL9itSz5H5l0TceHQPoAAQVEx+OnTf0Gl1TaKtrY1kiRDfZM4IACQnpICs8WqqTKbjgOI62x73nvk/rUAVPPmrwmpRe1Us81y28Wy0sGQ5QgQwgT4+9OQoCASHBgEQ2AAKk0mHM7JgSzRchHsqPemTTjb2e+hCZQyjuzvT/nrdFHDMzOvObJzvZhqa7Hn8GFQUX727emTvr7a4z6cOLH85WWrzuYXXUztnty2AnXG6mqwDFPapidtJ15YvHoix9LvMpJTSUJs46Zx2oBA9O7TDy5KcP5w84G2hqKP9b9XFuaBVSiR2G8AAOD07m3wDwv3vG6I4HAgPD4RYfGXFkv73X43fvrsPxBdLvSadVuTY8yV5fjp03+DMAzuf+V1lOVewJbF/20iQQC4owHHfl5fZ8d2OCwWBEVGITIlHUc3roNfn0Hw1+oxfGDm1V6y68LFCxBluVldjnpEWWbbIgVLEEQQQqSW9lPw8RynokCHBShvCF4QIDgdQAMRQqBzHBD/iMQkjeEqH0QC/PwQ4OeH1MREmC0WbN+//5oK1hu2+mvJ+WhIw84Mzd2AyysrERp07XUXl/civ9IcADyOSkuUlVci5AbFoG4WTOZalF04DwCrOtsWH82jDwwer9L7we8yIb+rRZYk8E47dn/3NQJCwwC4ldHP7tvVRMSJdzmRs/knVBUVorqkGJxSidHTHkdUnSCZqbQYGz//BBcO7cOkF/4Atd4PVJJQlnsONrMJEYkp7pQuuNM8T+9yt9Nt7k4fGhuPoxvXI/fw/ib7HBYLVBotbKZq7F21HCmDhiH7r69CFxCIe34zxzNu93dfo/jsKRgioq7r2jSHKIlQqbpuEfrlEAB9unfHxl27Yl9auvrC29MmtG9V9FUyb9b4KgD/qfsHAHhx6fJhVUb+oWpzzS0cW5gsiqKKECJLsjj33Yfve7fzrL0yc5etOqDV6pKHZw4Aw3RMBzWr3Y5dBw5AosKf35l+37+v9XhJpnNyCwtXpycltelqcHmVkQqivL7NTthOvLR01ROEwaf9emSQmMv0Wfau+gYl506B5RSgoJDsNlwoKEByfHyTFCw/Q3CjlKqLJ497muO0ht1iRlRq4zqhoMhoMCwLQ3QMlOrGWRrGkiKs+/h9hMcn4tZHZ4HhOMSk98Qtv87Cpq8WIiY9A2HxibCba5CzbTNsNSZEpqQhOq0HdIFBqK2qQP6xwwCnAiEEsWndkR4ff20X7jpw8Twg08orDqIyUSjbIALCC2AoWix4ZwQ5VqHpGulXgLt+pi59upFT327vYMaMGbNZll09f/58Tw7DzJkzR+Tn58/RpfZCzBVqOxqy+oM3PKFCp8sFDhRW09Wl+VNZviqn42qhlMJkqUWfHs2HFDsKt/6HGX07sDjQm6moqEC+WwHd1wHLS4lKTe+v5rjrfkjIGHMblGotug8dhfSh7rQAjV8A4nv1Rd/bGkc+lCo1wuKTUFV0EUOnPIS4jD6N9gdFRuO+V/6Ms3u2e1IJUgcPQ0BoRJMakobUK643ZNh901B48hgsVVVN9hFCEN+7H7QBgZj04qtQ+/kjPCHJ07iiHv/gUKj6aBt1gLlRZFmG5iZyQOx2B7bs3YPw4GBUVhsTn1/83esfPDL5z51tV3O8N+2BXQB21b9+du1a/+Dycmbe4+6OTt7IS0tXbVGp1f1GDBgIroPaNzucLuzYuw+yLH/5zrT75l3POd55eNKal7/+3lleWamOCAtrE7sogAqjkYiQPm+TE7YTc5aumEeA1wf36YuwZsSIB0+8v9Hr7977G+xOJ0oqyhulYMmyDKf1klA773Tg9J4dGPXQo63aUHT6BFhO0aTG49D61RAFHjVlJSg8eazRPS84Kga3Pf5Ukw5kUSnpmPrqXz2Lxpv/9ylC4xJw2+NPwVxZjgM/fIfq0hJo/QPhHx2L/K0boPYLQPWhPVizZjkebCEjpq3geZ4CbIs6Y/Oys/VWAWDZG3+sFkQBhGHtLe2XGCZa1YU0QHhBgMPdAKtR+9h2c0BYln3Fbrf/77LN/YODg8cGqBjkrM5G4u/chd05WzciZ+vPUKjVkAQBITGxnjSGWuMlh9Nqs4HYrNj+9ZeNTlpb6R7jHxraxI47Zz7XZqHkWqsVhLDw03dudxmzxQKWYTrdDm+horIcVUUFdgBNK4Z9eAUhMdEBYeHX/4DQa8ztANCoR3xMek/EpDcvDHelfYA78pjeoDV2ysBhLY6t5/LUgHoudyiao341sbmxPUfd0urx10K9KBvXBl+E3oDJbMaugwcRExmF3t3TUVNbix0H9r/+/OJVxzu7M9bV0Nk1K60xe+l3K5ScYvSogQPRUcrKPC9g+/59EET5h7cenvjYDZ1L5L+4UFA4KyIsrE1CILUWC0Bk+cOHp+xoi/O1B3OWrfyEJcysYf0zYairpW0NBgSJ3WJxNj8PtEFzDYZhoPX3hyzLOLd/Fw6tW4PotB6N7p+UUsiXiT2KvBM7v1mMPreMw+nd23Fmz3awHIcfF3yE6tJi3P3MizBXlmP7sq+QMepW9LntLlBKG0VeWsI/JBT3/PZSlFihVIEQBnfO/B32blyHgoO70ev2e5HefwC+ffsvUKjaPx2dF3gwVG5RGLBa1sZrOLlNcqIEQYAsidaW9jOQw5VdqMkILwiwmk0A0KirV5t/Qz355JMzWJZ9mlIaoFarV82cOXMPIWQtpfQuQkhvlUqlZ/0CQEQe+3/4Dr3H3gHB6URgeATGzXquSTFmwxVTs8UCQ1wCBo6f6Nkm8k58/dfXcOujWYhoICjYHhhrTC0WGHYkVSYTNCqf/gfgXr1xSRLKLlzo1O44Pq5IekxaDxIe0jYrlD6ujCiJYLpIcWJrlFZU4kDOMaQlJCE1IR4AEORlnbG6OgwlZyVJgovnoe6AqJkkSdh58ABcAn/orYcn3Huj5wvgzb+vNnOzbA77DYvyCoKIvUcOAxQrbtSu9uLlpSu/ZVh28ogBg+B/DYuQfsEhCAg2IIlhcKq8FGarFQENjuftNpzetQ29b7mzyaKIPsgArV/jtHmL0YiEPplIHzYKxqJCuGxWnNy5FSLPY8pLf4JKq0NAaDjGzfydR39t+v9dXwaiNiAQY349AwePHUdNdTWGT3scCT3cHUDH/HoGzu9v/0ZyLl4AhVzU0n5OcsZyam2b1GXwggiJwtjSfsKwoQqFosvc5HlBgMVoBIBGjYLa3AH57LPPPp05c2ZPhmHKCSF//Pjjjw8++eST/QghhxiGCaAgjM4Qgp7p3SHLEliOBWEY2GvNOLFtEyoLcgG4tTesNSbIsowVb/0ZsiSBCwlDrzsmIPfwAeRsdbfndtqsoJRiX51KZkPGPf08lG3oGVdUGRF8lXmR7Ul5VSVCgoPadQ5ZdhfWdlQh4vVitlhgrzHBYTFv7mxbfLTItPDEJAQGXFsffh/XhyBIIB2Uw9+e5BcVIefsWfTr0QMxEY1TdqMjImC21DIXCi96RWesrszbD0/6/dxFq9jt+/e9NHLAQAT4+7fbXLIsY/fhQ3A47Bffmjp+IB688XPOe/zxmrlLVx7ZtHN3Pz+djvr760mgnx/8dH7w0+uu2qmSZRl7jhyCUxROvP3QxKk3blnb8/LSNT8rlIpbRg0ceM2LofVZJbEAlOFR2LV/P24fPdLTWVSt98PEF/7Q7LGjH368ybagyGgMGn8fACA4JhbBMbHoNeb2Jo1zmusKeq3wgoDdBw/CxfOYmPU0lNyl1f+opDREtfPiMwAIkgSBIS3qcoBw3dqiAB2o67glSU3zeuuRaIi6CwnNOhwO2C21wGU1IO31dDmeUnpRFMX3AYBhmP8QQp7geX6IQqkA67Dh6M/roA8MBKd0f4ioLMNhra1v1YU7Z/4O9819HQxhcN/c1xHfux+cZjNCDUEwllyELjAQE55/BZxSiVt+neXJZ0wfNgoTnn8FNrMJVGqxicB1YaypQbfoiNYHtiOUUlTXmBEb3XLHLVmWYTVVX/U/uRmtg53LF2H1B/9odt/lnNu/G9+9839XXZtz4dA+nNu/+6rGtobJbEbRqZMAsLxNTuijzQkIDx+nVGtveHXSx9UhiALYLrM21jynzl1AzukzGNSnTxPno57uKakICzZodBbxeAebd9Px1vSJc0VK391x4ABqLS1mftwQFMDBEydgqq2tVoX5pV6LwnhrvDVtUn+RsGkmm/n5wuLiZSfOnj27/9gR24btO+iajRuxafcuejgnh+ZeLESlsRquuhX5eiw2Gw7mHIe51mrKh7N/W9nVVjyQna185evV53Ra9dgxQwffcCZG9+RkBBuCsHl320YOWuraeSPYHHZs3r0HMoDbRoxo5Hx0JKIoEIZTtNjqnyFSpKKN6jJcvACZIS0WvCsUbFhbKa53BHabDS67nQJo9Jlv83cwb948rri4uBuAPgDis7KyvgJgoJT+6dSpU0/1HjSkx8BJD2LXlx/D5XAAcN+YdIFBGHD3pEYpWLIogsLdElOWKCiV4efXdBX16MZ1OL1rG2zuHLN2wWq3Q6YyggPaN/LQGrVWKxjCNAqdXo4s8vjp03+Bq/swiDwPh6UWfsEhqDVWQhcQCLbOUxcFHgPvmQLCEJzdu/PSOWQJFmMV1n3yATR+l1bEolLSkT5sFMounMGRjethLL4IhuOQ3H8Q1Do9Dq1f00hwMTA8EsmZgz2v7eYa7FmZDUNUDMyV7nouhmHRf9z467oepaUlKDp7igJo2obIh1cQlZjWU6tSdpme5V0dUZRAvDxyeSUOnzyBkooKjBx05dV4AmBA797Yundvt7mLV69965EJVxYR8HFF3n1o4pw5S75jt+/b9/yowYPhp7++jnUtcfz0KZRXVdq0dmPSvLETrqgofT2899A9ZwGcBfBRw+0vLvsh1VJrvbvWYhnMlZf1Z1i2myTKakJA9FodtQsuiKIAhuKcU4NRyydO5dvaththXna23iGpzuv1uvBhAwZC0QZNAgiAAb16Ycuevdh96CCG9m/fFrbXS3VNDXYfPozw4BAM6N2r0+yQZRlUpnj/wXtbbM0sySRc3UZ1GbzAUwYtd9wiDBPUVs5OR+BwOsA77U0WHNrcATlx4gQTEhJyB6V0vCzLSpZlP5NleSCl9PcJCQnpjCTg2Jps2M1mzzEMITCVFmP1B2/AZbdBXycUZiy56CkuEkQehDDNhmziMvoipFssairK2vrteKiuqYHaC/7DjSYTtK2ILnFKdSN9kpJzp7FrxVJMeP4VZP/1VYya9jiCL4ug7FuzAtaaamSMcvfsNpZcRLcevaBQXlppKTxxFHnHDiF92CgUHD8Ge60Z9/xmdqOWwSd3bEZCH/fNzGoy4uLJ4x4HxGm1YM0/30ZUSrpHSfr07m2w1ZjQ9457rivdy1hjRmVRYc01H+ijo2AMMTG68PDrEyD0ce0IogDCdk0HZM+hQ6ixWDBm0CDotK0/ALMMi2H9M8mm3TvvenHRyr++N33Sax1g5k3LOw9PfuGlZavItn17nxs1ePB1t82+nNO551FQXCxIVrHnvBkd2w2sgWPSiBeX/ZBaY7Hdw8pS3tu/mryyI226WuZ89WOYk/LngoMC/Qf369Om7ZEZhsWwzExs2r0bp86fQ/fklNYP6kBKKipw6NhxJCfGIT2xbXVerhVBFMCwDL1S1I6hCOMUXJussvECDxDa4gMtoYyuK0VAeBcP3mZrkk7T5u9g+fLlPICtM2fOTAcwWpKksZRSFSHk/4qN1V8GRcXg1kdnYdX7f/ccQwEERkThrqeebxQBObNnB4Lqwu+yTEEpxY/btkE2mcDJl8TCnDYrrCYTqNxmEd0mVFRWIvA6RdTaktLKCoQYri4Ks/K9v0ESRUiCAN7pwIq3/gyX04HNXy0AYd03snueeRFqvR8CwsLBKRQeoaE9K7MxZOL9jYWHCFBVmO95qQ8yNNErIQyD4Q88AgDIO3oQR+rUqc8f3Iv9a1ZAktyRlZytG2Ezm0AIA7Vej+8/egu804H7X7n6zpqiKEKSZZTnXTjU+mgfncTouB69EOrTrOkwREkC18UiILIsY+vePRAlGWOGDLmmYmi1SoVh/Qdg+4H9f3h+8apDXaEzljfz9kMTn5+9ZJXf9r37nhg9dPANp07mFV7E+fwCSZZtA96d8XBBG5l5w7TkmHgLzy5blsQSPic8NFSdmZHRLhFktUqF4ZmZ/8/emcdFdZ/7/33O7MPOsIOsoqiIC+67xphds+9pm7ZJem/3Zm17F3vvbW+bJk1ve++vbZK2SZrEJCaNmj1NNBo3FBQVF1QEZF8GBpj1zJlzfn+gKAICCgyD8369fIU58z3f85wJzPk+3+d5Pg9f7t1LeGgYyQn+TTE/y8nKSo6WlTFzymSSB9iyYTiRJBkRsZ8FphBtGqIIiMfrRUbbp+KWIiiGkVKsGwq8PhmP09Uj6jnkT6mHHnro6w899FAr8HMgRVGUElEUXYqi/CRj3DgtHjebX36+RwTkfDwOO40Vp6g+doQpi68CwGQyYomMJHfiBCRJwtrayqdffolXlmm3NtFSV41P7rNvy2XTZGslJd7P9R9Aaz/1H+fjsLVy2xP/zqI778cYEsptT/w7BqOJ5V95mNue+HcklxOvpzMXNnVSHhPmLsLe2kJjRRmqohCXMb5brUhcWiaTF6/oKlBvOl3JO0//rOvfxepFTh8+SO6yqzGFhjHv5juYtvI6FNnH4ru+woJb72bezXfgdQ8uKt/a1k5bfR2yx/PpoE4MMpLcEpuaTmTY8BW2BumO1+sdsUZyQ4GsyHy2YwcaUcOyefMvSYkp8owylkErrH/01Q3+bdQ0Bnj23jXf8PjkV7buLsDh6rMdQb/UNTVScuK4KrvUFc/ce+/BITRxTPPEqx/OM2EqTU9JMc6aOnVY01cjwsLIz81l35EjtHV0DNt1BoKqquw/fJjSsjIW5eePCucDQJIlEC8u868VxTidbmicAq8sI6hynwXvqqJqdUNU8D4S+BQVZ0dbj1+uIY+ACILwkV6v3yJJ0ipVVe968cUX33744YfXHjt2bN/4BUunmPUiK776cFcEpK2pgdqTpbTW1fLuM/+JIAiYwsIp2PQ2hpAQkieeabanqgiCQHJ8ArXx8dhQyUxPZ89WhRadifS8WdQePzbUtwN0NkCUvTLxsf7dxe2w20EQieilDuZiuDra0fTzh/HF63/B2d7pFHqcDkSthk9e+H3X+TqDEe0Z7/7qr/8zAFGJSd2aFV2sAG3FVx6iw9pMU2U5+z/9gMbKcgRB4OjOrYiiiKL4iBikg9fSZjvbgPDNQZ0YZMSIThp3lVanx2wae7LRiqogCqMv0iD7ZDSawHBA3B4PW3btIio8nDnTLy/FpFMZq0M8VVUdVMYaAn5z781ffWzdBmFbwd4Hls6dM+i/4eaWFgoPHVJVWbnn2a/dvG2YzBxz/OCtd25A9W7KycgSszMyRuSaiXFxZKWmsmPvXlYu8U+ht+yTKdhfTIfdzooFizAZ/Z/yfhZJkkHlojukgkaIHCqnwOf1CRpZezEHRNQPkbMzEqiiiKOttYes8JA7IM8//3wdwCOPPCIIZ9x2VVVFp9OZHxoVhcbVQUNFGW6HHYPJhMdhx5KSSv51a4hNTQfgyzdfoaW2hJt/1JnO+/Gf/oeW2mpy5i85czcqzacrcL3zGlqNiOv4YfZXl+PzShz+cjPHdm5D9g5dNMRqa0Wn1/tdkra5tRXjJfxRntq/l5gzUngqgNozknjdt37Q9fP6//435tx0G2m505AliTf+88fc/KOfYLggJ1ur0xEaFT0oW4yhYdSXnyRjWj6Vh4rR6nREJiRxbOdWohKSBjVXbU019eUnfcCoCesH6U5CZlZWiNn/vXOGg0Olx6moqkKr1aLTajDo9Rj0BkwGIwajAYNOh1FvQK/XodfrO/+r0w9Jo6qL4fF60Y9QN+vLoc3ewfY9e0mKT2D65ElDsss7KTubDofTZG1pOQyMu3wrr2yeuefmrzz++kbttt0F9yyZPxezcWBOSGtbG7v378eneL/z7P23BTeIBsijr/79qxpF+9e8iTlCWkryiF570vjx2B12vthZwMoli4dNIrU33B4P2wsLgU6lK+0wqGldDl7ZiyAIFw8PCWLIUERAVFVFUXxUGr01fQwQlXUbBd0o+4z6wufzgQoeh2P4HZDzLmoXRbEeQBCEHcaY+Pu0IaGEhZhob2okdlw6cRnZiKJIXHpW13mKohASEcWN330C0xkFlEkLlyKKWsadaTwTFm0he858Zl1/M20dHXxZuJcbl3dvnPPJ879DM0QP4WZry6hIIWloaiJ2kAv+g59/TNPpSm7/cWdtReL4CXz20p/Q6vX4enHSnO3tuO0dlB8owpI8jsIPNxAZn9jD+Tif2rJSThTsJP+6Nd2Oq+fV6Wx87r+xt1iJiIsnITOb6mMlmMLCqTpaQnXpERbcek/3epMB0OZw0Fh+qmFQJwUZSfQxqWmG5MTBOZaBgtvtZlxiIllpaThcHjweJ26PhNPloqPFgdcr41NkZNmHrPhQ1U5lPwQRvU6HXq/rdFp0OswmE0ajAZ1Wj16nxWgwYDQY0Ot0g974kCQvQ6VHP1w0tbZQsL+YrLRUJmUNXYFppzJWLlt3F6Q8+ebGT39115pVQzb5Fcqv711z7xPrNoZsK9i7euncuZj6EUGxO53s3FeIT/X+7Nl7b/t/I2RmwPPo6+88qtFofz07b5qQ4IeaufOVsQqKipifPzLKWO12O9sLC4kMC2dB/qhTQMbl9mC12VBkb9iP1r37e9FHmU/QlHsNUun/3n57V9qNgGgYisJwrywjiCLr7+xdje2nb7yR7BVMft8QHyherxef1w3Qo6/JsDkgL7744qvAqwDPP//8Qwtvv+cbxvgkOlQ4bncTN2MuNQ0NxFmiMZzXUEUUxR6SrGcVk86Ss2Bp18/WllZCeukKfs3D3xuye2lssTIhI3PI5rsUVDojMTlZWf2OPYuiKBzdtY1rHvoO+jM7V+enTK372ZM9zjGHh3PNQ9+l+LOP2PjcL1B8Pq7+xj/3GCe5nTRXVbLuZ09hDgtn3ORc9OZzxYrb3/obtSdKuxTNpl99PUd3bqWlpgqNVkvm9FmcLNqDzmgkLMpC7cnSQTkgbrcbn+yjqapy54BPCjLSrMmYnEd0lH+lq4cLSZKICA8lIixsUGmRTpcbW4e9y2FxS17a7Q4arS34FBlFUTsFFlQVnywjCCJarQaDTofBYMCg12E0GDsjLQYDep0W3RmnxWQ04vXKhJhHb8+V07W1HDh2jLzsbNLGDX2QQnNW3Wfnzqsff33Df//63pt/POQXucJ4+p41a55Yt+m9rQUFNy6bN7fPOh2X28OXe/Yg+9SXn7nntrUja2Xg8sSrG58WRPHx+TNnYIn03/elKGpYOCufz3ftouR4KbkThrfBX6PVyp4DxaQlJzN1Ys6wXmugOF0umltaabQ209TaiizLGPUGYmJiIlD5jtvjUSWvF48H4bHX3kXUalSNIPoUVdYeLz9FaFMoJr2xc5PJoO8WCR9IaqxX9iKKfRe8uz3mDH2Idkg6ro8EHq8Xb2f9eeOF741UDGdpTPI4YfKEiWSkpNDU2kJVTR2lp06x//BhdDod8dExxMdZiIuOQTcIL7K2qXFYu4LLsozL5SE5wb8yoh12ByAQNQglLlEQmX3DrbQ1NdLW1OP/fZ+qYTGp6YRZYmiprWbcpFw2v/w8Sdk5LLrzga46kLS8GYRaYpmyZEWv3ebj0rMwh0eSt+IaABxtNszhEUxZtIKDWz7h9JFD3PS9J/j8pT+y6K4H+OJvf+a93z3NvJvv7ErFuxgtbW00nS4H+HDAH0iQkebG6OQUIoexs7I/kbxejL387veH2WTEPMBGYgrgsNtxOF043W6cHhdul5sORwctrS3IPgWvz4eqKPhUFcXnQwUmRQx8o2IkOV5eTumpcuZMm0p8TOywXeesus+2wsInH123oejZe25+e9gudoXw9D2rb3rytY0fby0ouGbp3J5OiCR5+XLvHryK78Nn7lnzNf9YGXg8tm7jm6Io3rlo9uxB13cOBwa9gYUz89lWUEB4WDipw1QIfrqmhgNHj5I7YQIZqZffLf1ScbicWFvbaG6xUm9txicrGA16wsNCyZ0wgeTExAvT0bot/L1eWXB5PNqmlmbsDicOp4NWmw3J60X2KSg+X9d3syCAVnNe9Fuvx2w0YjQYu9J0vZIX4SJyv6pWSdUGkgSvV8bjdAD0UPUaqbu4KyVnCpbISABio6K7UolUVaW+uYmq2jpKjpXikUowmU0kxsYQb4nFEh3ZZ6Gnqqq0ttmYljN8nnOzzYZOr0Or8e//cGtrC0bD4Oo/VFWh4mDfCrXKeZ3iGytO0VBRRn3ZcZqrThOVmMQtj/0LBnMIbnsHn7/8PG/9/KfMvHY1OfMXkzo5j9TJeb1cszPtasKcBd2ON5Qdp/7UCaqPHiZ79jymLrua3RvXoygKEbHxrPnRTyjY+DZb173EzT/8SZej0xfWllYqSg4CvDPwTyTISBKXnrlU1GovSdUoEPDKvmG/NxEICw0l7CKNRy/E6XKj1Y2+8Hzx0SPU1NWzMH8G0SOwyxsRHk5+bq6w71DJm9974/1pv7v7xpJhv+gY51f3rbn2yTc3frqtYM/VS+fN6cpe8Pl87CgqwuuVin591+ob/GxmwPDkG+99ptVorlo0ZzahoyhqGREWxqy8PApLSggzhxIVMXSOkQocO3mCstNVzJ0xnTjLyKabOVxOmqwtNFqtNJ1p32DQ6YmOimTmlFziY2IGFVrQnYlAhw+gcafD5cLhcOJwOnG6Xbjcbto6OmiwWvH5fCiKgqL48CmK9rF1G1SNKKoaUfQKguhWFLXN6/NWq6oSNhp60g0UryzhbG8HqL7wvRFZVYdGRa8whIb22tRIEAQSY+NIjI0DOtOGahoaqKlvoLq+pDPNISyMpPh4YqOjiQgL6ypWtLW3oxHFQT2cB0tzSwvhQ9SM6XKob24mJsoyqHPiM8ez4qsP9/n+l2+8jP6MsokhJISKA/swhoWx6uHvYkk6J/VrDA3jhm8/ypEdWwnppxN8XFrvqWqpudOYOH8xSdmdzuKpfXsQRZGbf/iTrjFz19zO3DW3D+jeautqaaosl4Cg0s0oJT49Izk8dPQ8VIcaWZYJGWBR7kgy0OjKSFJQXEyzzcbiOXMIH8bv6wtJioujLS1VPFVZtfe7H34YH1TGunx+ddeaVY+/9t7ObXv3zls6Z66g1WjYtX8fTpej6pd33jSHu/xtYQCgquKTb31QbNBrpy6ePWdUbtIkxsUxPi2VXUV7WbloMUPRd0JRFQoPHKS5tZWl8+YQZh7e7wJVVelwOGmxtVLf1ERzSwsIIkaDHktEJPOmTcMyginCISYTISYT0P9azufz4ZY8gkeS9JJH0rskKVySPONqGhoJJAler+TF0dYK0EPVa0QckOQJOZkhBv2AVE5EUWRcYiLjzoT9JMlLZW0N9U1NHD9VjqoqWKIiSYpPoKPDjvkymyT1R5PVSkqC/7WoW2w25s+YPqhzzsrl9sXi8+pBImLjuen7PWtCzmfywqUXfR9g1Te/3evxrJlzur3OnDmHzAuODRQVcEkSDadOll/SBEFGgui41ExtUsLIKrmMJD7Fh2kULvZHEwqwfU8BLo+HFfPmYTKO/OeVM348HXaHkZbmI8DAmigFuSi/vu+mBU+8uangyz17ZoeaQwRbW0fzKdE9/mKdooN0snbLFqP7rfdLQ8zm1EWzZo06xafzyckaT4fdzhcFu1m5+PKUsSSvl51FhXhkLysXLxwWqV9VVWnr6MBqs9HYbKW5pQVBFDAaDERHRLIgf+aIRF+HAo1GQ4jJ3KMRaIfDOaIKZZeLx+ulo7UFoOLC90biNz86Nj1Ll5R0aUo4er2O7PR0stPTAbA7HVRW13Lq9Gk6HE40AuwvOUx8bAwx0dEMpTayovjosDtITfavik+Hw4GqqgHzhzPc2O0OPE4Hbc1NW/1tS5A+uTNtSi7RUZH+tmNYkGUfAoLfUzNHM4qisHn3LjSCyPJ584f0u3kwCEB+pzJW8pNvbvz8V3etucovhowxnr5r9dwn39q0z+12ZZtcLdnrH3ywV9WeIOdY+6f3YpxN9hPREeGR82bMQDPKG4aeVcbaunsPBUX7mH+JKlUOl5Mv9xZi0Ou5esGiIVNwOutwdKZUNdPSZkMQRExGI9GRUSyePYvIQdTNBgKSVxoVtUIDxe1x4+hsPN5DVngknp73jZ82k1jL4NKH+iLUHMKUCdlMIRvobEZ3uqaWoyfLcLgPYTQYSYyLI8ESgyUq4rIaW7W2tXfp+/uT5pYWTKMwROsvWtvbqD95AmCjv20J0gcazXURiUmjQr56OJC8EoImkPahRhZJ8rJ59y7CQ8zMHQULrbPKWFt27loRVMYaOn515+qZP3zrrehfPvigzd+2jHYee2VThlPP4YRoi2lWXt6wdjcfSkRRw4JZMy9ZGavFZmPX/v3EWyzMyutZNzoYFEWh3W6nyWqlwWqltc2GKIoY9QbiYixMnzSZkJCxm/YL4PXKGAKoBsTRYUdyOlTo2Ul+2B0QjUZzQ1RyClERkcMyf3REJNFn5lZVlSarlar6OvYfKcHtkQgPDSU5Pp5Yi6Vb/chAaG5twTwKCsMampuD0Y/zaGhspPLIQYBP/W1LkN5JzMyapxWFIckbHo14ZRlNgCwgRhqHy8m23QXExViYmTt11Cy0jAYDC2bls62g4KkfrNt05Lf3rP6bv20aCzx3550t/rZhtHPHW2/pNYpYmpacpMvNmRgY+qnnYdAbWDhjJtv27iUiLIJxiQkDOq+2oZF9hw4xPjODnMzBtzLw+XzYOtppabVR19iIraMdrUaLyWQi5kzR+GiseRtOvLLMUDQ8HClcbjcej7vX1Mxhd0ASsibM0YriiITfBUEgLiaGuDNNfHw+H7WNDVTX1VN2+jSyLBMdGUVSfBxxMZZ+u7o2NDcTFz24xn/DgdVmY94g6z/GMo2NjTRVn3bQi0cdZHQQOy4jJjJsbIW+z8fr9SKKgbaMGH6sba3sLNpPRnIyUyaOvoXWWXWfvYcOvfzoS+8fefZrNxb526YgY580WX+N1iBqp+YMb1+N4SQiPJz8qVPZV1JCWGgIkf2kAZ2srORoWRkzc6eQnDAwh0X2ybTa2mlqbaHJ2kxbRwdajZYQs5k4i4XZ06b32whzrOPz+UZ9o9nzkTweJIej17XasDsgcWnpkZZo/+zeazQaxiUmMe5MJ2a3x011fQPV9fWUHD+BRhCIi7GQEBdLbLSlm5N0NrdwRu4Uv9h+FrvTgaKqfm1ONJpQVAVJ8VF/8nhQUnP0kpWQmSUmjdEO6ACS7EUUg/Uf51PX0Ejh4UNMmTCBzJShbzA4VCTGxTEhI004WXF6x9o/vZey9pGbenToDRLkUnnooYd2Aa4XXnhhBcDXvva1nPZtH78dEpsgsKR/IZfh4KM/PodGq+8SiXn/978mLi2DOasHpjp5lk5VuTR2FhaycuGiXiPcqqpSfOQINQ0NLM7Pv2gNhiz7aG1ro765icaWFhwOBzqdDrPRSHJcAgvzZ6IdhmL1QEZRFXT6wHn2eH0yHofT3dt7w30XS1InTxVGy0LEaDAyPi2N8WlpQOfi/nRtHSfLKykqOYzJYCAxLpZ4SywarYgoisMuE9cf1pZWTIPs/zGWsbW142htwe1wbPG3LUH65K60yVOJihzDERDJiyZYA9JF2elKjpw4yYwpU0gZ4G6nP5mYOZ6ODqehEWsJqpoUVG8KMlQIghANuAAeeuih6YIg7BYNRnXqjbf5zSbJ5UKjO9f3a+Gd92M0XVp7gZysLOx9KGPJPpmC/fvpcDi5asEiTMbuaxePJNHa1kZzSwv1TU043S70Oj1hISGkJSSSnpaCNrixc1FURUEfQDUgiqrisrfZe3tvuP9P35kycTLRZxoQjjZCzSFMHj8exo9HURWarS1U1dax/8hhXG43GkFk886dWKKiSI6LJzoqcsjUGwZKg9XaVeMSBGztbVQfPQLwlr9tCdI7Gq326rDYWCLGaAE6dHZ31Y5yBZuR4sjJE5yqOH2mqdjQiI0MNwKQP3UKXxTsiX/yzfc//xUs97dNQcYW3/72t+d6vd5twOGo+VdNioyIRFEUtq17ifqyE6iqQkLGeJbe/w1EUWTTb39JaFQ0tsZ6XB3trPz6P1GwYX23Y9mz53OquJA7f/rzrrXIgc8+4vjeXdzx4/8YsG073nq1KwLy6Yv/S2NlOYIgoDMYmbHqerJndzYS3vTbXxIRn0BLTRWujnZMYeGsfPCfyJ+ay9bde9hZsIvWgi9ptzZhMJlRzaHIHW3c9eP/QBRFPJKH5tZWGltasVqtON0udDodUWERZKWlMi4xaVTLEI8GPvjfZ1h01wNUHz1MW2M9vqj4Hn1A3PYOZK+337lCo86VFMiSG0VR0Z9XilBasJ2Ycend+sBJbicn9uwekK0JmeOxpKRSU3oUZ7uN7NnzURFx2mxddWKPPPJIGfBfLS0t64f1/3xoVPRVhvCwEW08damIgtitfsTrlXF7PNgdDhqszewq3g+qSmhICJaoSMYlJBIZETHsBZZNra3MuUzliLFEbW0d1cePqsB+f9sSpHcypufP1Go0uDxu9KoOvU4/6moBLhfJK6HTBR+cRYcOUW+1snjunICShoROdZ+F+TPZvHPnskdf3fC7Z++/+Xv+tinI2EAQhHhZlrerqlqYnJy82Kn6vBHhYXz+1z/QdLqSmdfehM5gYM9777Bt3Ussu+/rSG4XtSeOMXnRclJyJhOdNK7HsciERI7v2cnJwt1MmNPpJBzfuwtL8uBSHiW3C7fTAcC8m+/CbW9H8cmcKt7H7g3rScicQJglBsntourwQXKXrsSSnMqOd15j2xsvc8O3H2XBrJm888x/gdfLjOtv5vDBYtyVZegMBoqPHKGxpQWv14tBryc8NJSJWVkkx8eP+CZuoGO3taDIMs52G/ZWK0pELPoLUrC2r3+V1rpaFEXB63FjOrP55+poR280IogaVEXhzp/+V9c5ezb9nfryk9z6+L91Hdv/6QcsvO2+bg5IR3MzBz7/iAlzF/Zrq8fjAqClrpr2pkYy8+egouJy2K3nDUtWVfX70dHR1w/rEzRpwsQss043alRQBoNOp0Wn0xIWGkJifBwNzc3kZGWh1Yg0WFvZc/AgHtlLiMFEVGQ46cnjiIoIH9J7dbicKIpC7CgohB8ttNhsNFWdbvW3HUH6JnXy1HBR1LCtYA8+xYeqKGi1WnRaLXq9DoPeiMmgx2g0otfpMBj0GPR69DpD5/sB8J3hkSS/9bUYLewsKqTN7mDpnDmEjgK1wEvBoDewIH8W2wr2fPfRV/9e9Oz9t77sb5uCBD6qqiYAPp1Od6cja8ZKrV6rajUaof7USRbefh+ZM2YB4PV42PfJe13nxaamM/Pam7rNdeGxmJRUju3cxoQ5C7A11OG2dzDtqusu2dbwmFjCY2IBSMiaSN3JUo7u3MqcmzpTxuIzxzP96usBmHB6ASf27gJAJ2rwOeyETp1Nmd2NPi0bb6sVn6uzbnX65EkknJk3yMAp3f0lp4oLu17LHglEEUEUaW2oR+2ws7W2swfzlKVXEZ+excoH/wmAsn17OPD5x11OxTu/WsuMVTd2/b6dz7xb7+bvv1rLrnffYP4tdyNLErIkkZwzucdYjU7HrOtvpul0BZaU1G5O5Bev/pnY1AymLFnRdUwUNQgakYaKchz7dnHHHXfkRUZG7gJQVVWnqqpeVdW84XRAouPTMi+5AeFoQgEkSSI+NhajXk/ymc7oHkmiubWFppZWig6X4HI5OxvgRESSmpRMTHTUZS2kmltaMemvbMWH8/F6ZXyqQsOpE0HlmtHLPHNEBJMnTCBj3LldOafLja3DjsfjxO2RcHk8tNhseCQvPkVGUVRkWcanqvhkGUHoVM7rdFj0GHQ6DAYDJoMRg8GA/swGgfHMsZHeVfNIEqFjXG++LxRFYevuXSiqyor58/3eJ+ly6VTGmsreQ4f++uhL75cElbGCXC6CIBxRVTVOluXDPk/H+ri4NNqaGgDY+fd17Pz7uq6xqnKu/CgsOqbHXBcey1t5LZv/+ickt4t9n7yPwRyCJTmlx3kDpfLQfgo/3IjH6UBRFFRFwd56Tlk5JOKcAI7eZELxdQoanb0fTZSFyPAwJmaOp9zZRmVJMbOmTr1ke650kidOISrh3Lp58ysvdv1sCo9AHZdJ7owZeJwuwqIH7+BZa6v54tU/I7ld6A1GGstP8fdf/wfpU6eDqvL+757GJ3uRJYm03GlkzZzTde7Od15Hcrm49pHvE2aJ4cTeXVQfO8zUZVd3jSnYsJ76UyeQvRKKCpqMiax/7pl1wHcAHnroIfsLL7ww+eGHHzYPpwNyT8b0mcRaev5BBRpWqxWNVovxggetQa8nOT6B5PjOoku3JGFtbaHJ2krxsaOdDonBSGR4BKnJScRZLINySBqbmoiOGLt59IOlta0NW10tPln+xN+2BOmT21ImTCIyvPvvrdlkHJReuyRLtHXYsdvtuD0SbsmLw+nC2mrr4bAoPh8goNVquhwVg16H0WAcNodF8kqY9FdeZFJWZD7fsROTwcCimbPQacdGHUynMla6cLK8cufaP72XHFTGCnI5qKrqDQkJmehwOE44inZ+NTw7RwiL6qyPmrv6diJi486NPf/E3tYHFxxLypqI1mDgwGcfUV92nPH5cy/ZTkVR+PLNv5E0YRIT5ixAbzSydd3LqIrvouepQG1nd2smpyQyfkpnmvjhdtsl2xKkk9Co6G61GsJ5zypRp0cfE0dcetYlz29JSuG2J/6dDc/+FzOuuYm03GlAZ7TEYA5h9Q+eomDDepqrK5mz+nastdVd5970/af47C//j02//SX5162m6ONNzLxuDZaU1K4x42fPB8DR1kpKXj6n1r/Kfffdd7PZbL5aq9U+7PP5lG984xtpqqp+Z/gcEI3mBkvyuDGhhFPb2EDURaTkzmLs0yFp4WDpMVwuFwa9gagzDkl8TMxFHZImm41ZU3OH7D4CnRZbK+UlBwDe8LctQXrHGBKyzBwZSUT45dUD6LV6YqOiiY0a2CK/N4fF5XHT2taG5PWiqio+RcHnU/D5ZPpyWPQ6HUaDAaPB0JmGqdVjNhp6FEpKXhnDFaZH73S5+aJgFzGR0czKmzrmcrknZmbR0e7QNwhNh1HVxKAyVpDL4bnnnmt54IEHJpnDwhsOvvM3xj/+L4RERnH4y81c960fYDCHUHWkhBN7dxI/yAVl2pRpHC/YiaL4yFtxDV+89hda62u55dF/GdQ8sldCVVWyZs4mJWcKlSUH8Dh6FSzqxp7iYqwtrehNZo5+/hGZk3Jpa2qg9mQpumDWxmWhKArvPvOfaLU6BFHE63Z1vdfeUItoa2VT0U4QYPX3n6Lo402UFRUA4JNlZK+Xt37+UwA8LhcFm9ZT+OG7AMSkpLHiqw93zVf4wbsc+OwjQqOi0er1uOwdnd3mrY2E9ZI+J4oiq775Hfb/40P2fvAu4TFxTF7YXVrakpxCfZkFnyKjD49AdTnYv3//i4sXL77D6/WOE0URjUbzfeCOYXNAkjKz52o1moBqGd8Xrba2rl4ig+FiDsmh0lIKDxzEYNATERZOckICifFxiGccEqfbhU9RiBsDEaShorauhvqKUz6gxt+2BOmdhPETJ+s1WkRhZBeng3VYHC4nDocLh8uBy+3B5XbTYbfjlWVk2YdXkVF9Cj5VQfEpiIKAVqtDr9NiMBhwud0YryAHxNbewfaiQsYlJJCXkzPqa3QuBQHIz5vCF7v3xD32xvtbn4HF/rYpSGDzt1deaX70lbdwF25nw29+wapvfJvNr7zA+l/8K6qqImq1zLpu9aDnnbHqBk7u20OYJQZjaBiSy4nX3WurBaBzYWow95Td1RuMJI6fwLZ1L4PwChqtFr2p7wbNss+HT1Fo67CzaukiGtOS+OKVF3nt3x4DwBwegU/uX40pSN+IoshtT/x71+s3/+unXT+bLXHELlzGwpnnajqmLltJ7pKrMJhDLloDIktuZOnc/xufLDP/1rsxmMx89tKfuOtffs7Hf/ofju36kuaaKpbe82Cv9nVYmynd9SVRicm0NdSz94N3mX3DLb2O9Xq9qIpKXFycrKqqHkBV1TpBEL6iqurHw+aAxKWlR41W+d3B4nK7iYy8/FSoCx2SsxJ1TdYWDp88wb6SEoxGAxFhYejP5L0HOUeHw0VzeXmdv+0I0ifauJRUc3zs6C88DDGZCTGZgYHJxrrcEh2OdpxuN06nG7PRSERIYKk+XSr1zU3sPXiI8WmpTMoa729zhhVR1LBgVj5bduxc9MS6d3//9D23fNffNgUJLCRJWmMwGDpzmARB0b35vjT7G9/W67wSprBwbn383zpVjTrau6XarHzwW+gv6M3R2zEArV6HAEw4I5e74LZ7u+2Un4+zvR1nextJ2ZO6ji3/ykNdfUBWPvhPSG4XsseDOSKS9uYmRI2mx/XtTif16IhbeBUrFy9CpDMd7N6f/ZoOazNhlhg+++sfcJ5JzQoy9CiqguGCxox647laRLfdjraPmjyt3ohWfy4NWpYkwmPiukW8Zl5zI5+//AKCKJCUPbHz4Hk5gsd2bqXoo/dInTKVxXd/lfqyUj576XkU2cfcNd2bWtoa6nFu34KqKmRkZNwCnG0Q9aWqql8XBOHx4XJAFo2bnCskJyUP0/Qjh+yT8fpkIoehp4FBb+jVIWloaqahqRHJK/Ppl18SERbGuIREEhPix5yc6UBxu914vV6aqit3+NuWIH1yXVpuHnFx8f62Y8gxGfWYjFdeNLKypoaDx0rJmziBtJRLL3QNJIx6PQtm5bOtYM93fvj63/c9d++tf/W3TUECh5deeunY+a+9iu+lirr6hxbOmt31+Ba12m7OB0BkfGKPuXo7BrD3gw0IgkjOmfSXC+c6y55Nb1NasANjSCizrj+npBV1wbx6o6mrH0T4eak3Z6/f0mZjZ9F+4uPimJ17Li382M5tKKrK5IVLqS0rpb7sBHnLV/VqS5CB8cWrf6a9uanr9fmOpcvaRPnHG6jd/CEAEfEJLL3na13vVx0rITqx/3W3LEn4fDKhUdHdHJCY1AwUn4/UiT1T/8sPFFH40SZmrrqRyYs72yYlZE1k1Tf+mc2vvMjU5aswh4dzYu8uju/ZQZgllpgp0/nH55+htzUvzM7O/rogCMsEQbAALkmSIobLAbkrNWf0NiAcDDX1DZgMRjSa4S+27NshaeLg8VKKDpd0aWonJySQnJjI2MrC7puWtjaaT5cDfOBvW4L0yZr4zGyigsIJY4LSU6c4XlHBnOl5xF9hqaARYWHMmjaVwgMH//LU6++6f3nvLev6PytIkJ6EaTyPWtvaH+pwOAgLubTu4+fz5n/9FMnlZMriFf3WYU1dtorcZZ0Lw0ulpqGB/YdKyM7IYGJWZrf3ErMn8vGffkfRhxsAiExIIjfogFwWy+7/RrfX56dgGSIt5K25iwmZGT3Oqz52GGv1aZbd23vq1PkUfbSpy7lUzqiwKYrC+79/mjCLhaqjhzm1v5DMGbMQxU6/OWNaPolZEzCGdo/8x6Vncfe//XfX6/LiQuauuYOk7Bw+3fA2E6Ij0MdF1wDvAR3AYkEQKvR6/RvD4oCERkWtMIRFBEQDwv5osDZjiYrqf+AwcDGH5PCJExQfOXLFOCTNLVYqDh0A2OhvW4L0TlhMzGKD2RywPSGCnKP4yBFqGhpYlJ8/IAGOsYaqqjRbWxBEEVUVX1r7179+tPbBB23+titI4LH2zjvtj6/bsPtkZeX8GZN79lgYLCu/9gghkVE9FoK9YboMxwPgZGUlR0+WMTN3CskJCT3ej4iN565/+TnONhvGkFDEYFfzIUdVFRS5s5+W7POh03dPze+wNlP08Saqjx1m/i13dfu9UFW1R01OY0UZJ/cVcP23fsCud9+k4sA+dAYDb/38p4RERHLDdx6n9vhRtr7+VxxtraRPnYGo0bLpt7/s19bYtAxWPXRe1qreSHWzVf1s04bYhx9+uFAQhGxVVadrNBrJ6/WeHJbflqTxE8eb9KO/mdhA6Gi3k92Lt+kPLnRI3B4PVltPhyQiLIyk+Pgx5ZDU1tXRdPq0B2j3ty1BeicxMzvdpNePib/7K5mC4mJa2mwsnTP3iux1oqgKhQcO0tzayrJ58zhy/IS+qUUtAa6MHLQgQ44G4dtVdXX7stPSL/tv6nzJ0+FCURT2Hz5MfVMTS2bPIqIfR8YcETnsNl2ppEycgsFsJmZcGtXNVvS67st2U1gosuThxu881iNlLzY1nbALGlmbwiJYcOvdRCUmM3nRMtJyp7H9rVeZMHs+M6/tFERIyZnCjd99nJCICLR6I3f8+D8uyXbFYKS8ukYCFEVRXmtra/vT+vXr7QD/9E//tGo4VgrRi+68z3rPd35I3qRJ/Y8e5by/eQtL58whLPTyQ6fDzTmHpJnGlha8Xi8mg5GwsBCS4gLXIVFVlQ2ffMIL33/kSEdL8xR/2xOkV8IX3H5P233f/RF5Q7DLF2TkUYAvCwrwSBJLZs/GaBx435axgtcrs7OoELfXy/L5c9Fr9fgUH1sLClSH3f3h0/fedKO/bQwSmDz6+sY/G/W6r1+1YCE63eiNFMiyj4Li/bQ7HCyfOx+jMfCVTMcKH2/dSn7uVGItgdGD6r1PPub1//zX9urSI72G0YdjPXp3Vt6MMdGA0OFyoiq+gNkFNBo6IyQzc3O5dskSrl60iEnZWeg0Wg6fOMEHn33GP7Zvp+BAMVV1dQSKyH2H3YHkcNDR0rzN37YE6ZPbMnKnEWMZmKpUkNGF7JP5/Msv4Ux38yvR+XB7PGwt2I0CXL1wIfozajMaUcP86TMFUcsNP3jt3X+/+CxBgvTOs/eu+YbXJ5fs3rcPVVX7P8EPuNwevti9C5ckcc3ixUHnY5ShKEqPCMhoxqequBwdfTaWGfo70WhuiE5JHRMNCKvq6wgPDQ3YlJKzDknPlK1mSo4fp/jwYYxGI+FhoaM6QtLa3kbdyeMA7/rbliB9cl1sajrRV2C9QKDjljxs3bWb0JAw5s2chkYcG93NB0N7h53t+wqJCg1nfv7MHu+bTEbmz5zJzsJ9//7E62/tfPreO//hBzODBDjlgjt/vENsOHjsWOS0UZYh0m63s72okPCQMBbNyve3OUF6waeqPWpARjciDpvN1te7Q+6AJGZmzdNoNBj70CIOJKzWFiwBEuoaCBdzSA4dLx21DklDYyOVRw4CfOZvW4L0TmxK2gKNVndF7pwHMm12Ozv27iU+JoaZubkBu9lyOTS3tLC7eD9pyUlMndj3ojA6IpKpk3KEQ0ePffTTdesyfn7PPVUjaGaQMcD6O++UfvjWe7nVdbUV4WFh2oxRIm3daLWyp7iYtORxTM2Z4G9zgvSB6lPQaQNjba0oPkDFbe9o6mvMkDsgcakZUTFjQH4XOhvvZKam+duMYSNQHJLG5iaaqk/bIWCyxq444jIyE8ICJFUxSCfW1lZ27dtPekoyuRMn+tscv1BVW0vx0aNMyZ5AZuq4fsenJSXR0tqqqa0XDt3x1ltx6++8UxoBM4OMIZ6786aaH77x7g2Hjpd+HGYOEWKi/aOyeZbKqioOHj/B1AnZpI8b/gL3IJeGz+dDRUWrDYwItUeS8Xm9ANa+xgy1A7Jg3KQpQmJS0hBP6x8kr/eKkqDs1yE5chSjQU9keDhJcfEkjUBjREXx4VUUGk6dLBnmSwW5dBLj0zM1Sclj4+/+SqC2sZGikkPkTphAxrj+F95jkbMSo7Py8kiMje3/hDNMnzyZDrs9IqtD2Q7MGT4Lg4xVnrv7lk8fW/f3HxcU7/vlsvnzCTGN/OaNChw7eZKy06eZNz1vTNTtjmUcbhcajRgwzai9sheps4liY19jhnpD++7UyblYxkAEpKm1BY2owWgw+NsUv3F+Ufv1S5dx9aKFTM4ej0YUOXjsKO9/vpl/bN9O0aFD1DY2D4sNto4OHNZm3Hb758NygSBDwb3puXlYIvy7kxdkYJysPE3RoUPMnJJ7RTofqqqy//BhSsvKWDwrf1DOB4AgCMybMRONVjv7iXXv/n6YzAwyxnnmnlt/5VPUTTsKi/DKvhG9tqIq7CkupryqimXz5gWdjwDA5XSj1QRO/YfklfA47QD1fY0ZUgfEHBl1lTEsgvCw/hvkjHbqGhquqOjHQDjfIblu2TmHRBAEDhwp4b3PN/Ppl18OqUPS2trG6SOHAd4ekgmDDDkajWZVREISkZfZ9CrI8HPkxAmOlZWxYOZMkuPj/W3OiOPz+di1r4iGpkZWLFhE5CV+x+v1OhbMygc03/nBuk0PDK2VQa4Ufn3PmjWSx11WeLB4xJSxJMnLtt0FtLV3sGrxwmDj2ADB6XZhCCAFLEny4mrvAKjpa8xl3803v/nNR0VR/AmA5JWj3Pt30ZSTTVx6VteYI19uoWRbz/rhpfd9nfjzxp3PwS2fUrZvDz6vl6iERBbcem+Prp5VR0rY9e46chYsJW/5qm7XO7F3F2t+9JNe51Zkmd2b1lN3ohTF5yM0Opo5q+/AkpTSdf6hzZ+QMCkXZp5TRHn3mf9k+tXXkzEtqBABPVO2HC4n1tY2mlusFB8poeiQgkGvwxIZSWJ8Iklxg99lqamvoeZkqQoUD631QYaK+MzsWVpRRB9Q6hxXHnsPHKSx1cri2bOIGAObRINF8nrZUViEzyezctFitJfZtTk8NJRZeVMpKil56dFXNxQ9e//NR4bI1CBXEK3tDXmIYuORk2UhU7LHD+u17E4n2wsLMeoNrFyyeFSIzAQZGG6PB10AiTt5ZRlHexvA6b7GDMXvX5YgCOFut/t3NkUVBEXh0z//P5zt5xpWd7RY8bo9TFl8Vbd/ETFxvU6494N3OfDZR0QnJjN+1jx8Xi8bfvuLHuMObvkEyeWidNeX3Y53tFhxtLX2Orciy7z99FrKi4tIyMwma+Yc3HY7H/2/31B1pKTrfEXyUHdoP7J0rsbQ2daGs61t0B/QlUKIyUxqUmJnytayZaxYMI+crM4ISfGREt7bPPgIia2tjebTlS3DbHqQyyBmXGpU1BhIuxyrKMCOwkJa2tpYMXf+Fel8OFxONu/aBQKsWLTosp2PsyTGxZE5bpyo1WkK1771VuiQTBrkiuL5Rx5xKk5pxqnKSqW6vm7YrtPSZuOL3QVYoqNZNm9u0PkIMDweKeAiIB1WK0BFX2OG5G5UVfW98sorDQ/8569ZdONqtvzhWaqOHGDivMVdYwRRYMqSFQOar7LkALGp6Sy998GuY67zHBrodCRa6mrImbeIY7u+pLWuhqjE5H7n3vnum0hOJ2t++BPCzuQ9zrz2Jjb85ufsePs17v63/0ZRFQSNBlHUsHvjehbdcd+A7A7SnRCTucspgV4iJCUKBl3fERLJ68WnqDScOrHHH/YHGRB5ydkThaTERH/bEaQXFEVh8+5diAgsmz8Xgy5wdtCGita2Nnbu20ecJYbZeVOHfP5J2dm02+2mJqtaAqQP+QWCjHl+/eDtJx57fcPN+48c3RhiMgtDnf5d09DA/kMljM9KJyej96yTIKMbj1fCZAycmmS3x3U2EDCsEZBONJobY8al4mzoTPcKibz0/hlGcwhtTY3dnI4L069Ktn6GAORffzN6k4nizz4a0Nz1p04QEZ/Y5XycZcaqG/B63LTW1eBwuQCB3KVXUXGgCFlyX/K9BDlHjwjJ/PMiJEe7R0garM20trfRWluLz+f71N+2B+mTu8dNzh0TjUfHGrIs8dn27eg1WpbMuTKdj8ZmKzuK9pGZmjoszgeAAMzKm4rRaEh74s331g/LRYKMeZ659+b3VJ/vV7v27cPl9gzZvCcrK9lXcpgZuVOCzkcA4/V60esCJ83Z7nDg6VTB6nMBPVTxHMODX/nK9Y6CLyjw+YhOSiElZ0q3AYrPx1s//2m3Y7f/+D8RxZ4+0OK7v8KnL/4fb//q39HqDUTGxzPnxtuwpJzTqD5RVEBkQhKiKJI8YTKnDx8YkKGS00lMSk+t64TMbACstdW43C4EAfKWr+LIl1vY8fa6btGYIEPDhRESu8NJU2sLDc3NFB48hKootFmbAd70q6FB+kRnMi0PjbZckWk9oxmny80Xu3cRGx1N/tSpvX7PjnUqq2s4eOwoUyflkJ48vA3ftBotC2fls2XHrtsffW3TD5+9b/Vzw3rBIGOSX997848fe2PDvJ1FRcuWzZuLRnPpPR9UVaX48GFqm5pYPCv/kgUXgowOZFlGH0CbSG6nC4/DcdHebUPyVBIEQa5r6yB68jRu/N4T3PDtR3sZI/aoAenroRgRG88dP/4Pbv7RT8ldehUeh4OP/vhbbA2d+ZH21hacbTYmzl0AwNTlV+OTZSoP7e/XVlGrwevp6ZC5OjqjLXqTCY/k7eoInLd8FaePHMLjdAzswwhyyYSGmMlISWHe9OncsHw5Bq2W04cP+IDhS4wNclkkjp+QqxNFNGJgNEe6Emjr6GDLrp0kJyQwKy/vinM+VODoyZMcLC1l7ozpw+58nMVsNDFn+nQ0Wp794et/XzoiFw0y5njmrjVXuTzO2n2HLr31lSz72FlURIPVylXzFwadjzGA7FMCygGRJA9et1O+2JgheTIpiqJoE8cJkxYsJSq+91zwszUg5//rjzBLDFOXXc3qH/4EQRAp3bUdgOJ/fAjAvk8+4K2f/5RPnv8dACVb+28VERIRRUttT1WwE3t3AZCQNQFF8SGcafcyefFy9EYjO9a/1u/cQYYOFXC4XJzcV1jhb1uC9IkYm5IaGtSQHz3UNzaxbe8esjMzmDZpUtdGypWCqqrsKynp7G8wdw5xI/y7GWuJZnLWeEGv0f3jsVc+6V1lJUiQiyEIisnZMqWhpdlzvPzUoE93uT18sXsXbkli1eLFGI2Bs2gN0jeyIqPTB1ARuizjdjgvmks4JA6Iqqqa1Mm5nFXCqSwp5q2f/8slz7fz7+toOl3e9bqx/ASK4iM02gJA9bESwmPiyF1yLpqSOH4CLfW13VSremPGqhuQXE6+fPOVrmO1J0opLdhBQuZ4ZAVUReX8dpMzr7mRmuNHUdSLRpOCDCF2uwPJ5cBWX7vF37YE6ZOr0ibnkpCQ4G87ggCna2vYW3KIGZMnMyE9w9/mjDiyT2ZnURHNLVZWLlxEWKh/RKmy0tJIjI/XaQzSYVT1ygo/BRkS1j74oM3jdM87fqpcqW9sGvB57XY7W3bvwmg0cdWCBVdc9HMso/pU9NrAqQHxqSpuu/2iqUND5U6JpvBIIs584bva23qkLPVWA5J/3RqyZs7pMZkpLIJPX/y/zok1GmRJIjI+gUmLllF7ohSvx8NVX7ub2NRzD9nsOfN48z9/yuFtn/d5veu+9UNScqYw/errOfDZR1QeKkbUaPHJXqKTUrjqq49QdroKnU7H+W5b9uwFFP/jI9wO+yV/QEEGR0ubjZrjxwCCRZ2jl1sSx+cEG3aOAo6VlXGyvII5M6YRfwVGpDyShy/3FoIAVy9a7PeF14xJk7DbOyyPv/H+F7+GJX41JkhA8tsH7yx+7NV3Hth76OBrS+fOJbwfh7rRamVPcTFpyeOYmjNhhKwMMlL4VAVdABWhq4KAva2l934YZ7hsB0Sn0/3xyKnKhxbqtNqzX/opk6ai+M5FCybOW0hoVE9VrLi0zF7nnHH19Uy76lrqy47j7mgnJjWD8JhYAAzmEObdfEc35wNAbzSz+K6voA8xYw4N7/V6prDOP+Cpy65myqLlVB07jORykDg+p2t8U2sLqdPziZ7V3TFa8dVHqC87TuqUvIF+NEEug9q6OsoPHQDo2cEyyKggNCpqqTE0lLCQEH+bckVTfOQwNfUNLJiVT/QV2I+lw+Fg+969hIeEsXD26GgSK4oic2fMFDbv2LH48dc2/ObX9938I3/bFCTweOb+215/7PV3Z+8oLPzBioUL+lSyq6yq4uDxE0ydkE36uJ4iO0ECH0VRAkYFqzNbSMDd0XHRhm+X7YD84Q9/qLjxu49qIyIicLvdGI1GQqOimbx4edeYyPhEIvuoDekLURRJys7pcdySnIKlj6LC9LwZ3a550fm1WtJyp/U43uFwMHXiRJLi4wd83SBDT3NzM00VFTY6+6gFGYUkZGZnGXTaK67OYDSxa98+bB3tLJ03l1DzlecItths7Ny3n8T4WPKn5PrbnG4Y9XoWzprFtsK9P3jib+9ue/qBWzb426Yggccz997ywydef2/xrqL9+UvmzO4W3VOBYydPUnb6NPOm5xGsxxubKKqKoijohqiB6nAjSV6UznII68XGDUWc+p74tAza7A7+sX0Hn27byqGjx2hstqIoviGYfmSRJImoiEh/m3FF4/XKeBWFurLSQn/bEqRPzDGpaYaE+GD9hz9QgK27d2N3Olg2d/4V6XzUNTays7CI8Rmpo875OEtEWBjTc3IEQad550dvfBDMiwlySZiPF83rcNpb9h853HVMUXzsKd5PeVU1y+bNCzofYxi3y41GIwbMZp8kefF29gBpvNi4y3ZANBrNjeGx8axYsICbVl5Fbs4UHG4XRYcP8f7mLWwt2M2Jigps7e2ol3uxYcZqa0XUaAKq2+RYxNpmo7W2Gp8sv+dvW4L0yZqM3GnExgQfeiON7JP5bPuXCILA8nnzr8jvq5OVlRSWHGJ6ADRXG5eYRFryONEgKkVrt2wx+tueIIHH2rVrZY9RnVzX0OQtq6xEkrxsK9hDW7udVYsXEGo2+9vEIMOIw+1EqwmM9CsASZZwuxwA9Rcbd9nxnKQJkxZoNSIGfWduYlJcDElxnYsSSfJyuqaGqrp6SstOgSAQb4kmKSGeuOgYdLrRFU6qqW8kKjxYUOtvmq1Wyg7sg2ADwtHMDbHpmUQHcAH6ib27SMjMRpa9WKtPMz5/rr9N6he7vZ0vtm/HEp/A3GnTEM/rv3Loi38wZclVAH4vwh4uzk85WTRjFlFRgfH7lzsxm3Z7e2hrU1shMDrDNUFGNf+zZk3Doy9tXHnkZNkXpeXlQrg5lCXz5w+NlGmQUY3L7Rl16+WL4ZVkXO0dALUXG3fZdxSXnhnVV+hPr9cxPiOd8RnpADQ2W6moqeZQ6XEk6RBh5hCmTZ5EdGTU5ZoxJLS2tZIUF0wp8Tc1NTU0lpd5gQZ/2xKkd6ISExfq9AZMJpO/TblkSrZ+hkajQXK7Kd29vVcHpGDDeqqPH+l3ruse+T7mM6mbJ/bupL7sBIvv/mrX+x/837PEpWcy+4Zbuo4pisK6nz1JWJSl3/nHTcola+FSNr//HkpDDfOuua5HOP7Qlk+pPlZCXHoW+deu7nfOQENRFfYeOIi1tZVl8+YF1K6vIAjMmT6DzTt3THl83aa//fqe1Q/426YggcezX1uz7Yfr/v6u6tXcOiN3UtD5uEJwud3oA6T+A0CSvTjabABVFxt3uXc0N33qNCEpcWAF5nExFuJiOh+2sizx0bbtdGu44Wccbk9QUtTPqKqKS/JQW3a8zN+2BOmbhIzslFCjcRT99faP295Be/O5lFTF50PQaBC1WhRVwd7a0vWeVqfDGBrG5MXLGT9rLi57B9vfepUbv/s4AJtffp6ErGwmLViKq6MNY8g5iczE8Tnsff9djny5pUuMo725iRnX3tjTKFVl9Q+e6tXehooyDCYzkfGJNLW2sHXPXuIT4umw21B9PpqqKy+YSiUlJ5fa40dpb27qUg4cC3i9MjuLCnF7vaxcvBC9NvCaq+m0Ghbmz2Lr7t33P/7qht2/vv/m//O3TUECj+fuufW2x9ZtfOnLwqKvXjV/QUDtjAe5NDySG70+cL7zvF4v9lYrQMXFxg3qN/e73/1u+O9///v28w7dnTQhh5ioyEEZV7r7S1Km5qMqCpHh4YM6d7iQZRlZ8hIxSuy5GEd2bCVnvv+17oeDdrsdl72DjubmoPzu6CUmNi1Dm5SU5G87BkX9qZMc3flF12v3eb2KXO3tfPnmywAoPoVJ8xeTOXMOYWeiu9aaahDokusWtVp0RhNhlpiuMbLkZtu6zganpvAIDn7xKfWnTjB50VJkyUNt6VFqS48iS17CLTHkLFzadf1//Pn/MIVHsuiO+wCQPG42v/QnkidOJn3ZNRw4epTs+Fg0Tjvtio/G0+WU7t6O9jxZTlVVaW9qJDTKQtWRQ0xZsmIYPsWRx+X2sKNwLxqtlqsXLgzo773QEDOzp0+j4GDx75969Z09v7z/tr3+tilI4PHMPWu+9tRb78/eXbxv8qJZswOmODnIpeGRZIz6wKn1c7nd2G02GEoHRJKkgm9+85uPvvjiix8CxKamXSfarHz6h+dIyBhPRGx8145fQ0UZh7d+3nVufMb4rgfi3vffxRsVT3RkJKIoUn/qBHs2vdPtWoriQ1UUNL10frz2W99Dbxza8HtDUxNGox6dVtP/YD9T9OEGcuYuhAsexB3WZk4fPgiARqshZ0HnAue93/+a1Em5TFt53YjbOlhabDaqjx4GWOdvW4L0yV0ZU6dhiR4dqZMDJT1vRjep7nef/a+un0OjornuWz+8rPlFUUt63kxKtn5GfHoW4/Pn4HY6OLZrO6JGiyk0nKaqCurLTrDw9vu6nTvtquv4/OU/seE3FVz3rR+w5W8vYggJJXnBMg4ePkJ+3lRq9mynoeIUjtYWjhfsYHz+PGwNdQCkTJpC9bHDzF1zG6KoRQygcP3FaO+ws31fIVGh4czPn+lvc4aEOIuFiekZQml5+fa1f3ovee0jN11UKz9IkN4owzljfIfacPDYschpkyb525wgw4hHkgiLDJyUU4fDjsfpBHBebNyAnlIPPfTQdEEQVqmqmiaKYu43v/lN84svvvh2cvakTJPZjE+jJWvmbHb9/c0uB6SpshxbYz3TV15P7clSThUXdjkggijSZG1mXHIyAAmZ2T3SEDb85uckZE1g/i13DfbeL4napiaiA0R+VxDFXhcYFYf2c2LvLqavvJ5d775BzoKlSG4XbQ11ZN3/ja5xsiShKD70xtGXv19bU0Pl4UMqsNPftgTpA43m2qikFCIDULCh+LOPkCUPAJ7zIiBuRweFH24AQJa8zFl9G6211ZQf3Nc51uFAkeWuMa72NurLjlPolQAIjYwiZ8FSMmfMorRgO16PG3trKzqDkdoTpQBMWrQM50cbMUdEMG5y9zrkuPRM7vjxz/j4T7/j7V/+O4IgMunmuzlador5s2ZiiYwi6cZbqT52mCPbv2DJPV/j/d8/TURsPNbaaiSPG1Gjofbkcb584xXu+49nhvNjHBGarC0UHNhPWnISUyeOrQXWhIxMbO0d+ia1+QCQ7G97ggQe6++8U/rhW+/lVtfXVYSFhWkzU4J9ysYqPlkOqC7oLpcLj8vRbw+3AW+TCYKQDzSraqeY7le/+tV/Eg1Gnf3EEXweN7s3rEcQRTb99pcsve9BBEHEYA4hc8YsJJeD1roaju3cit3WiqooNB3ah6GxBr2jjdTJeTjbbNSfOglAW2M99tYW8pZlcGp/91YQ6VOnD8vuXntHB+PT0oZ83qHC1d6O6YL0MEWWURQZrf6csqPBZCZzxix2vfsGADvfWYdGq+WTF37f7dy03GnMuv7mYbd7sFhtNhpPV7T0PzKIv0hIS5+r02i6lO8CDVNo59+RIJyLIAqC2HX8bP8it8OBs82GRqvD43SgqioeR6fToioKPq/U7fVZVEXB3mKl9sRRKksOcuN3H2PH269TXlxIc1UFsePSe7VLqzeSlD2JtsZGFNVHxakyrrrmOsJDQ3sdD5A8YRIuux0AY0gohzZ/SsgoEfW4HKpqayk+epQp2RPITB3nb3OGhVlTc9lasCfxidc2ffj0fauv97c9QQKP5+68qeaHr/995eHjpVvCzCFCbIBFpYMMDFnxoeslG2i0Ink8SE6X3N+4Aa3kX3jhheJvfetbYT6f74AgCAtffPHFp1etWvV2+rSZhIaF0dHcgCW58yExeckKImLjqT56GFtDHe88/TO8HjchEVH45PMaE6oqbfW1tNVXkzo5j5OFuzlWsJ3k7ElUHS0hZlwadWUnqDl+hJCIKCLjE6k4tB9LyjgiYuP7sPTScXskIkdpAbqiKLzz9FqW3f8NUnKmdB3//JXn8brdXP/PP+r1vIaKMmpKj3DT954MiIJUjyQhKz4aT53c5W9bgvRNTFqGJSIszN9mXBLTz0tDPL73XJDNYA7pUTORPHESyWd23hsrTtFcVcnCMzUa7//vMyRPnMyMq3uuG71uN1OXrSR9+iwqSw4SERvPpAVLOPj5J9htLSy+66s9zlEUhS2vvEB9+UkSl1xNS/kJnMW7seflEZ49scf4xopTABzY8ikeh4PYtAxi0zI5WbiLGat6KXYPIE5WVnKsrIzZ0/JICIDvrUtFFDXMnzlT2Lxz53WPrXtn7TP33LbW3zYFCTyeu/fWrY+/+u5TBcX7frV8/nxCTIGTqhNkYPh8Cnp94DggXp8Pj8sh9TduwNV8iqLM1mg0m1RVTQCIiY1dZYxNYMrCpYSER7Lwjvtoqa+l+XQF0Ck7GBmfyG1P/DvTr7oWgClLVnTtuo+bs5DkCx6sETFxLLzjPoyhoaTnTmPayuswhYWTnjeThXfch3aYdlxdbgmf4rvoTqM/KSsqQKPTdXM+ABbedi+tdbWc2Nv7ev3APz4kzBLDx3/6H955+me88/TPePO/fsrBLZ+OhNmDpqXVRnNlBT6fb5O/bQnSJxOSMrPFxAArQAcoLdjOjvWvdf3zOOxd751NwTr7r/izj7qd21BRhjF0YE6Xy9FBbFpmt2MZ0/LxOB1ExCV0FbKfxVpTzVv/9VOsNVXELroaQsJY/eAj5CxcyuZXnsdaW901tqWuBmv1aerLT5KeN5Nl9z5I/nU3ERoZSVx6BggCkxYtG+QnMzpQVZX9hw9TWlbGovz8Me18nMVoMDBvxgxE9P/22OsbbvK3PUECk1/ff8vTisqGHXsLkeV+N56DBBg+n4I+gNTOfD4Fd3uHo79xA7qjtWvXauvq6koVRXlcEITEhx56aJfb6w2RG2s5XrAdR7uNHetfw9nW2u08t72Dw9s203S6vOuYLEmogkCb3U6H1YokebE7e9aplO7eQfnBfd2kMYeLmrpawkNDRqWShKIoFH20iUkLl/V4zxwRydQVq9jz3t/JmJbf4/1VD3232+vP/voHWuvrGD9zznCZe1k0NjdxKtiAcLRzT+rkqURHjs5o4cWIiIlFd166Yu2JY10/n5+CBWC+IBp6dMdWcs80+bsYbU0NoKqEWWJQzkvLqjpSguyV6LA24WyzdfUMAYiKTyBjWj6O2ET0OiPz86ejETXkX7uamJRUohI6nb33fvc0AGt+9FP0Rj1l+/ZS+OEG3HY7UYlJ1Bw/hkarZd/Hm6g9fqxPed/RiM/no6B4P20ddlYsWITJGJjpfZdCdGQk0ybnCAePHnv3e2+8P/13d99Y4m+bggQev7579S1PvvXe8d3F+7MX5s8aleuZIJeGT/Wh0wXOd6IqCtjbW239jRuoAyIDix5++OE7VFX90QsvvDD/q998SI3NzCYlZRyujg6mrbwOa815PUdEEa/kwdZQh7O9retw2b4CzKHhTMxI52j1KZxuN1sLduM8VY7a0cGBY6XIso8py1cxafY8Pvi/3wz65gdLY2sLlgt2JUcL/3jxf9Hq9d1SR84nb/kqTuzdxbZ1LxGbltH3PH/+PzparNzy6L8MWyTpcqmtq6Oh4pQHaO93cBC/oNXprgqPjSMyLPAckISs7hHXA59/hKqoqKqC3mTuVbbWbe/gk+d/j95k6hLYgDM1H0rPGrsvXv0zmdNnUXWkhOrSEkRR5OCWTzm05VMW3fkAjRVlbPztf7Piqw8Tn56Foih88dpfAGguLyM8NJStR4q6zVlWtIewmFhWfu1bXXVg9adOcOiLz5i8cBnRSUlsefWvZEzLJz1vOp+/9CcMAZSGIUledhQV4VNkrl60CO0YUfAaDGHmEBDQmFT1wGOvb7j5mXtvfs/fNgUJPFpba6ejJDYcPn4iNHfiBH+bE2SIUFUCpghdURVUBNwdHU39jR3QN/3Xvva1HL1e/x1VVecJgpD9wAMP7NYbDLibG6l1OfC4HBzbtQ33eSkNoiAQEhHFwjvu49jOrZwoLADg1P5CUnKmkDEulY74BIT2Vq5bvoK9bjvVJ+x0dLQjeb0UfbSR/f/4AMXtIio9sy/ThoQOh5305NEnRLJ7w3qsNdX97mQuu+8bfPaX/0dMajp2Wys71r/GWbEAOON8WK3c/KOfjFp5TkVRcMsydcePH+t/dBB/kTghJ0+rEdEGgFx1f4iiprMPqqoiiD13C53t7Wz8zX8Rm5bBiq8+0v1cjabb3xhAY0UZokbLrBtvpfLQflrr61AUhcPbNrP8gW+SlJ1DWu40DCGhNJSXEZ+exTXf/HbX+QX795M9YQJhISE9bNEZjN1EKBIys7n9qZ8BnV3WpyxaRt6ZVNfcJVdRdezwJX8uI4nD5eTLvYUY9HpWLFx0RXZ2rqiu5tDxUiZmZGA0msSDR45semLdxk1P3736FgShXyWZIEHO8vwjjzi/+8Yb0yuqq0rDQkM0aaNwXRNkcKh0Ns0NlE7okuTFJ0kA/aYvDeiONBpNsqqq2YIgfKmqqveNt9/e+41//vbcCIsFozmElroaohNTOF1y8LyzVLweN/s/eZ/Thw9it7Ww+eXnaamr4aqv/1OPaxj0esxGA4tmz2bDl58y4+rrCU/N5JM//g8ut2eg935JSF55VHZAn3PjLeQuvapHzviFWJJTuOtff8GhL/6BKSyMaSuvo+LQfgC2vfEy7c1N3PLov3RzPt7/32e48TuPDav9g6GtowNnawuODts//G1LkL6xJKeGx0SPzmjhYFnzo590/Txx3uIe75vDw7nr337Za+O7G779aI9jcelZ3PS9J4DOmo+MafnUl5USl5HdbY685au6nXMWobyS+IzxhJoHF7240JZpK68LiJ4/rW1t7Ny3j3hLDLPypvrbHL9wsPQYp2tqmZWbR2JcZ81LTFQke4oP3PTkm++3ev761tLfPnhnsX+tDBJI/P7uu8t+9Nrbqw8ePfpBqNmMJSqojBXIeDweBEEImAaskuRF9rgB+o2ADOiO/vznP3/+wgsvXAPsFARByJw2Y7WIgCUxhdjUDPQGI5kzZqEzdnZqrCwp5tDWzzGGhiHLXubdehc3fvdxGitPMX3l9egNRk4WFVBdeqSrk6+iqtga69n88vO42ts5tPVz9m94E9lpp/VUKZtffh7Z029R/aBpbW1DFARMRmP/g0cYUavt4XwoitIZj+uFCXMWsPz+bxIaFc21D38P6FTLyV22EmdHO/bWFuytLTRWlHUrwB0NWFttVB4+BPCGv20J0ieLxuVMEhLiE/xtx4hxuV/6CVkTBzyH4lPQB0iY/XJpbLayo2gfmePGXZHOhwLsKCykpr6BJXPmdjkfAGajiaVz5wpZaanhBpNp32Pr3lnrN0ODBCS/ue/2D32K+tOC4v243G5/mxPkMnC6XAGVluqVvWfl6ev7Gzuou1IUxSAIgjZmXHqyKAh4PG703s6mdge3fEqHtZnE8RMJjYomLXf6+efx/u+eJj0vvyvPuvpoZ1HmWVlLRZYxmMyk580kPe9cx9sWrYEp2dkYdHoayssGY+6AqG6sIypAJEX3fbyJIzu2YjD3TNGATinRs+9ZUlIBWHz3V9j30SZKd23vNnbSouU9zvcnNTXVVJ04qgBF/Q4O4i9uGzdxMtGjMFoY6CiKgqIo6ALoQXOpVFbXcPDYUaZOyiE9+cprnub2SHxRsBujXs+KBfMx9FJcKggCk8aPJz4mRthTfODfn3jjvTtd4Zp5v7/++mB9XJAB8ex9N//isTc2LdpZVHTtsnnzBI0m8NNmr0RcLje6APp/J3m9OO3tALX9jR3U087j8Xzq8/lqmirLN9vz51KFDmO7i5Sl1xCVkMCaufMJMfdczIui2KOOYdl5nbkBcpdfTe6yld26c9va2jC2tjNpzgIAErImYBxiqVxrq42kuLghnXO4yJm/hOScKcSfl7bRH/HpWVz3Tz8cRquGhtaODhpPnWz0tx1B+sYUErrMFB5B2CiVqw5kXC43GlEzppVrVODYyZOcrDzN3BnTibPE+NukEaeptYWC/cUkxcUxffLkfqNj0ZGRrFy0kKKSkklN1mbro+s23PPsPTe/PULmBglwnrl79fVPvPF+2Z6DxZnzps8c098vYxWXxx1QPUAkrxdnmw2gqp+hg3NA/va3vzUCqwEiYuN8N03+nkav01HX2kpDWwc+VUGv0WKJiiTWYiHOYsFsMvUzayd6Q88UqOrGBiLPK7w0X9AJfChwetxER0YO+bzDgTkispt851jB5Xbjk700VpR/6W9bgvRNYnbORL1GEzC5qIGEw+1EG0A674NFVVX2HT5MQ1MTy+bOuSKd2PKq05ScOMnkrPFkpaUO+DytVsvc6dM5XVurPXj06PpggXqQwWBrq5kqCmrT0ZNl5snZ4/1tTpBB4vZ40AeQBK/X66Wjs31GeX9jL+WJdyPA5IXL1Ky0VFLPNCRzuJxYW9uob2pUG6xWodHawiGlFFEUiImKJj42ZlAOCUBLSyvxscO3S6YoCrLXS0R4MKXEn1htNhrKTwIEGxCOXrQx41JN8XHx/rZjTOIMsDD7YJB9MgX7i7G7HKxcuCigdvOGiqKSEuoaG5k3bTqxlksTcUhNSiImOoo9+4tveuqtD1rk119f8sy99x7s/8wgVzLPP/KI80dvfDDjVGXl0fCwEDElIdHfJgUZBB7Jg2GUtk7oDZfHjb21FaCiv7GX4oDkA8SMS9VaoiK7DoaYzISYzKQmJQrQ6ZA0WVuobainqbWF5tYWDqkKoiBiiYoiITaW6MgowkN7r2eAzody1DDu+Nc1NqLXG9CNAUnRQKaxqYlTB/YDBFMLRi83pufmERc39rtT+wOXJAXUQ2aguD0ethcWAnD1wsVXXPRMURS+3LMHt9fL8vnzCLnM/ixmo4klc+cKR06WRZRXnS5+7LUNnyrwmegT33nmK6v73XEMcmXym7tvOP7Y6xtuLj5ydGOIySyMRtXPIL3jkWQiwgMnYuy02/E4HQD9Kh1digOSGBmfgE6vu+iXaYjJTEiKmfSUziLD7g5JK80tnRLBgiBgiYxWY2OiBEtkFBHh4Qh0fnFLskTUMEYn6pqasAT/EP1OXX09jZUVLiAo1zF6WR2fmUVUxNCnQQYBjzuwdrkGQofDwfa9ewkPCWPh7Hx/mzPiOFxOthXsITw0hBWzZg/ZRpcoiuROyCYxLkaorm+4ptVmW9Vht//6qTc2KRqNtk3yScWqT92C4NoYjJAEOcsz99783mPrNjy9a9++J1fMn49xFCp/BumJ7PP2KlQxWnG6XEhu94DSQwfrgMwANKmT84i1xKh0tvEaEBdzSJpbrUKzzYqqdjYwjIm2qAa9XtDp9OiGMS/a1t5OVlrasM0fpH98ig/JJ1N34ljwQTmKCY+NW6w3mi97BzdI73i8Hox6Q5/vb3zuF3icTm767hPdGhJ+9Mff0mFtYul9Xyc+PevMOEe3cyPjE1n1ze90vT5ZVMChLZ8iCAIzVt1A2tQZQ34/LTYbO/fvJyUxnuk5kwd1btPpcoo+2oS9xYpGpyMuLZO5a+5Aq9ez8blfkD1nIePzZ7Ph2Z9fZBaB9LwZzLnptq4jDRVlbH3tr1z9zW8TFT+8aShN1mYKDhxiXEICeZNyhqX41xIZhSUyCs48h90ej2hrb49qbW9fbrPZlrW02f7j8XUb0Wg0bkXxnfCp7FIU4cPn7r3pvWD9yJXJM/fc/NRjb2yYu71o37Ll8+YSVMYa/XhlX8B0QQfweCQkp9M3kLGDXd3fBzBp4SIlNjr6smLpfTokjfU0NTcLCiqCIPDhls3EWmJIiI0lzhKN4SIP6cEiSZ6gpKifsbW1Y29uwu1wfOJvW4L0TWJWdprZYAiqqAwTkkcmIrRvOXCHrRWfz8f+T99nwe33AtDW1EBz9WlQ1S6nw2FrJTophXGTzvXWCI22dP3c1tTArr+/QeL4iYRFx7Dz728Sm5Y1pAIfdY2NFB08xPisdHIyBq7YB3Bi7052b3ybsKho0qZO75yv7Djv/e5X3PLYv+KwteJotaLV6pmy+Kqu8/Z98h4pOVOIS8sEwOO0c/jLLWTlz8WSlIKiKGx97S+EWWKH3fk4Xl5OaVkZ0yZNInUEO1EbDQYSYmNJiI2Fc04JtvZ2o629fWqrzZbbZrc/9Pi6jYLmrffdXlkpQ1B3KIrwYcSJfR+sXbtWHjFjg/iNZ+5ac9WTb75ftffgwaS5M2YMfBc5iF/wyXJAybN7ZRm30z6gpn2DvatlAMnZOeJQd0O+WISkoamJxmYrPqXTE0ywxBAXayHeEnPJDVrcbgnZ5yMspO8alCDDj7XVRvmhYoB1fjYlSN9Exqam6xITr5wGhCONLHv7Lc6OTkzh9JFDLDjzev8n7xMZn4itvrvcuiV5XFe/pQtprqpEEARWPvgtAGZccz1abffw/qb/+SVuewcIAuExcSy5+2tdDso7v1pLzvwllB8owu2wkzZ1OrmLr2Lrur9ib7FijonHlzGBGblTSUlI4J1frWXC3IVUHNyPx+Ukc9pMZl67ulfbFFlmz6a/Y0kex/UXSIefkXXsQtRqu93jvk/eIz4zm8kLl3YdqznR2cD2jh//B7vffROvx8NVX3uk9w93iNhTfICm1hYWzp5F9ChQLOzTKenoMLa1t0+xtrVObm+3P+ScOF146s33fQJqh0/xlSuKWq0qaoNPFKoRNae0KMd9GunEc3fe2eLfOwpy2QiCYvrrX6c0twp1pafKjDmZg9skCDKyKKoSUCpYPlXB3dHh6H/k4B2QCaFRFrQ6A6HDvHDvzSFptFqpra+npqGe2qYGfLIPs8lMQlws8ZYYLFGRAy5yrG6oIywk9IorihxtVNdUU3vyuA845m9bgvTJHem504g5byc9yNDiU3zotRd/yCRmZWNrqKX2RClJ2ROpPXGMhbffy7Y3XhnwddJyp7P73bf49MX/Y9U3v43e2DOlbvKi5XgcDmTJw8miAt7//dPc+dP/AsDV0U7xZx+SPWseHqeDYzu3UVZUQHzGeAiNoOnIQTKiLaQkJHSNP/DZR2TOnI3iUziy/QtUIP+ME/LFq39G8flY8dWHqThUjKL4WHDr3T1suhT58asf/BZv/2otm195gdrjR5l9063d+kwNJbJPZsvu3aDCinnzMZlGb3690WAgwWAgISYGzjglktfLll07NbHRlsiwkNAZbsk9w+2WkCSv6vS48XolARmeWLcRURQVQRRlURDciqq2yz65Gq9S7xOVOlEVqxRFPanXaU62tNeXPv/II07/3m2Q3lj74IO2x15/fe7J8or94SGhYlJ8UN1wtKIoamApBwoCjjabbSBDB+OAhANh4yZNIdYSrQqDqP8YCkJMZjJSzGSkjAPOOCRNzVTV1VNeVU1ldTU+RSEiLIyk+Hhio6O79RC5kCarlZioqJEyP0gftDvs1JedqPO3HUEuyrUx49IIKqcMHz6fMqB6t/iMLA58/iGujjZA6KzfuMABOb53F+UHirpej5s8lfm3dC7qt7/1N3QmI9aa03z+0p+6IgJfvPYXzOERzLnpNsbnz+06d8qSq1j3syex1lZjSercDJqyeAXTr74egNqTxwmNisacOwu3zUacy0FLVUU3e9Kn5bPg1nsAUHwyx/fs7HJA2pubUJTOdGFbQ+fXQOQQpUgZQ8OYee1qij7cQGRCEhPnLhqSeS+k3eFgx569REWEM3vatIDMq9dptbglickTsi+sRer2nPcpPrxeWXR7PHq3x6OXvHK4V5ZSXG4PLpcbj1dSJa8XSZIID4sXHnt9I6JGUDWCRhYF3D5V7ZB9vmYUalSRKhSlUVUp1WvEw0GHZWR55t57Dz76+rv3Fx0qed1kMhE1DH3Wglw+PkVBHyApWIqiAAIue0fzQMYP5q7uBJgwZ74aFxPj97TBEJOZjNRUMlI7Gzo5XE7qGhupqquj9NQpSsvKQOjsQZIQG0N8TCwm47kvVrvDQWpykr/MDwLYnU68Hg/Wmuov/G1LkL6JSUufr9VqMBqGrv4qSHcURUE/gELDGVffwEd//C2H3ZtJ6aO423JBDYjlzKZNa0MdVUdLWP2DpxBFDe/97ld89tc/sPLBf6Ku7Dh5y1YBUH6giENf/AO3ww6qCkBLTVWXAxIz7pxwh1avxxwZTaPVytSJ2VQ1VOJosXazJ3lCznk/T6Ky5EDX65nX3oSqdF5Dd0aVR5YktEOkCDZ54VKKPtxA1sw5QzLfhdQ2NFB0uIT05BRyJ0wI2BqpDocDjai9qBACgEbUoDFc9Lugh8Pi9ngEt8ej83plneSVwzweT5LL7crzSJ3OitPjRpIkITw0jsde34BWo1EEUfQKCG4fSofP661RUGsFQdMk+pQyWdCUGkT1dJnGc3j9nXcOKNc8SO88e+8t6x59Y2P+7qKiR5cvXIhxjCnxjQUURQmYInTJ68XnlUBVB5SqORgH5AaA9LxpgmUURg5CTGbGp6UzPi0d6HRIqurqqK2vp6S0hQPHSjEZ9CTGxhIfG4tbGl6J3yD902pro77sBMA7/rYlSN/Ep2bGh12kX0+Qy8enDizMbklJRW8y09bUwPIHvtn7mD5qQKzVpwGIiO1Mt7jun3/Eh//3LBue/S9Un8KkRcuw1lSz/a1XScrOIXXKNHR6A/v/8QFeqe91nlarYVbeVApLSgg740ycj8dhP+9nR7e015ScKed+npRL8T8+5GThbnIWLOnnk/A/padOcry8kmmTJ5GaGNibWba2dgyGoV/kaERNV4+wXujhrZ1xWES3x2PwemWD2+OJcHs8KR6PhEeSVLfkxu2R8Hq9Qqqs54zKlw8BWUB1odLqlX1VCor1Qofll3evPhBU/+rJs3eveeyxdRvn795XNH/J3LmCKATT0kcLXtkLEDBRVckr43W7AZoGMn4wDki+KSwcvdFMeOjob4oSYjKTk5nF2QIru9NBZU0t9U2NVNTVoigKe4qLiY+LIzY6iuiICEQxMP4njxXqG+qpOFgM8KGfTQnSN+MSMjPF5ISRU/O5ElEGUANylqX3PUiHtZkwS8ygrpGUPQmAL998hcV3fYWo+ESmLLmKQ1s+JTppHKIo0lxVjihqWH7/NxC1Wk7s3YWq9L9mS4yLIyk2lvKjxVy4fDm260smzFvc+fPuLwmNOldLdH4NSFR8IhGx8ez75D2ikpKJT+/87m5rauDIl1uY30ttiD9QgIJ9+2hpb2fRrFljIjXR1t5OWIj/n+uDcVgURUHyevFIkubMP4MkSZEeyZPhdHvweDyqR5LweGW8kkf48ZvvS9KrG3757P03//vI3E3g8Mzdqxc/8eb7NfsOHUqYlTfN3+YEOYPD6bpkoSV/4PVKZxUZGwYyfjB3lpSSM5moiEhVCMA4c6g5hCnZ2UzJzgagraOdqto6auobKD99Gq8sE2IykxAfS3x0DJaooEMy3DQ0NVFfccoOBMPoo5d706dMI3oURj3HCoqioCgK2gE2qotPz+panPfGhTUgprBwbvrek5jDw5m24hoObPmUqiOHEAQBn89H5vRZlB8ooujjTUxddjVFH73Hup89hajVoirKgNOKpk+eTNnWT5HP7NqdxeNysW7tE0Bn49lrHvl+13stdTXdCsyv/db3+PiPv+PTF/4XjVYHAig+HxPnDU/9xmCRZYktu/cgCrBi3jxMY6SZW4utheSEwIriiKKI0WAYcDpYk7VFf6j02L8++cZ7P5Z83v997t5bHgtGRM4gCIr3rbem1FuttScqKgzZ6en+tigI4HS5h6yB6Uggeb247O0Atf2NhYE7IDMATeaMfBLiYgPO+eiNiLBwIiaGkzux83W73c7pmhoaGps5XVODLCuEms3ExXTK/VqiIwmGJocOWfbh9fmoKzu+39+2BOkbjUazMiIh4aKCDkEuD4fbhUajuehCf/aNtxKXntnre/nXriYuNaNrnORydXvfdF7EOu+qa8lZuJSa0iPoDEaSxk9E1GpJmzodZ3sbeqOJu//1F5Qf3IfBHELS+ImU7d9L4viJZ+a/hZiU1PPsuoWQ8EigM01g1srrKN6/D6fLjfmMEtTC2+/FFBpGW1MjqVPyutV3uDraWf6Vh7pe641mVv/gKeytLdSdPIYxJJzE8RO6zpl9463Epqb3/HxuuJmU8+peBvreYLC1d7CjqJCYyChmTZuKZoxsUKlAu8PJ7IQ4f5syrMRaolm+YIHQ0NSkO3LixA+efOuD70iv/T3oiJzhuTvvbHlq3cb5x8rKisJCQoQz0s1B/Ijb7UanDYz6D+h0QJxtbQCnBzJ+oA7IvQDZM+dgiYy8NMtGOeGhoeROnNjDIalrbKKipgbFpxAWGkJCbCwxkVGDkvwN0pPWtjZsjfV43e6P/G1LkL5JyJqQrxHFASk0Bbk0XC53v2H27Nnz+3xv8uLlAxp3Fr3RRMa0/G7Hzq/FELXabkXb58858Uwq1VlSJ+d1e52ZM5mj9Q1IkqfLAYHO2hXLeY4LdPb9WHDbPb02BgyNiiZ79oIex/u6v5wFS3s93t97A6Wqro7io0cYn5ZGTtb4MdW8zensrMvpI+1pTCEACZ11oEFHpBd+ec+a/T969d2v7D148G9L584NiHT7sYzb40EfQMIAklemo6UFoHIg4we6qlhmMJsxhIVfMTuh5xySiaiqSmtHB7V1dVTX1VN2uhJFUYkIDTnTfyQ66JAMkubWFsoP7AN41d+2BOmbmHGpkdFjdNNhtOB0uwJGZnEgKLJvQIppolbbwxEajRw6dpyKmipm5U0lMXbsRQlsHR2B1WdgCDjfEalraNAdPnHihz9+6/1vS69teurZ+1Y/52/7/Mlv7r/l1cfXbVy8o7Dw4RULF2AIoCZ4Yw235MEQQA6Ix+Omw9YCcGog4wf61JuYPHES4aFXZuM+QRCIDg8nOjy8yyGxtXdQU19HVX0DJ6tOoygqkaGhJMbFEx0VQVR4xBX5WQ2U6ppq6stOykCVv20J0if5KRMnCUlJgZUbHmi4XG70/cifBgoqZySFu1KmuqdsBRIKsKuwkDa7nSVz5hARFuZvk4YFW3vHFRH96A0BSIqPJzE+npr6ev3+wyXPrv3rX/+69sEHbf62zZ/8+p41jzzx5qZZu4r2z1wyZ3ZwLeMnJK+XEPPwNE8dDhx2Ox6nE6B9IOMH4oCYgbC0KdNIih97uz+XgiAIREWEExXR0yGpqKmhtOJUN4ck1hJNRFhYwGrEDzUq4HC5qTt1ckBhuiB+446USVOCctXDjFvyYtCPjQiI4vOBKHQtWC5M2QoU3JKHLwoKMGh1XLVgQUDtQg4Wa0sLcTGW/geOYQQgJSGByuoamhSeBb7hb5v8jfnovrkdk/Lr9x0uscyamtf/CUGGHMnrJVof6W8zBozL5UJyOntqsffBQJ56dwNMmDOPmKgr+0uqL3pzSKxtbdTWnXNIVEUhIjSMxDNd2q9kh8RudyC5HNjqa7f425YgfWM0mZaHREYRHhbMAx5OJMnTrUlqICP7ZMQAr5CwtbWxY98+EmNimD5lypjf/e1wOJg2ufemllca49PTBFtb2wMEHRDWrl0rf3/jxil1jY1VZacrdVmpaf2fFGRI8ckyugBKz/VIHiSXUx7o+IHc2Y06vYGw6BiiIq6M+o/LRRAEYiIjiTmTO6+qKlZbG9V1tVTW1HC8vBxF8XV3SMLDA/yxPXBa2mzUHD8GsN7ftgTpm4QJOVP0ojhm1H5GK5LXO2Zq62RZRtAE7oK9ouo0h46fYGJmFhMy0v1tzrDjdrtRVGXMppcNlriYGDR6rfaJV//+rafvv/WP/rbH3/zPmjUNP1q3ftmRkye3h5hDhISYwfUeCnJ5yIoSUPVZXq8Xj9Mx4LYKA3FA8hOzJ2I2mQKmG+NoQxAEYqIiiYmKBDodkqaWFqrr67ocElVRiQwPIz42dsw7JLV1dZQfOqACn/nbliB9IsYkjwuJDUoxDjuS1xtQu1wXQ/YpARsBKTpcQm19PbPzpnGlSJDaOjoG3ADzSkAAJqSlC8dOlq0FrngHBOA399yx84lX//7PhQcO/GHJ3HmEh4b426QrBp9v4A1qRwOyquKy250DHT+Qraqk1Cl5JCUkXIZZQc5HEATiLBZmTsll5cKFXL9sGXOm52E2m6ioqmZ7USEfbN7MzqIiyk5XYmtvZ8BJdQFAc3MzTRUVbXTWeQYZnVybNjmPhPjg3/1wowTYLtfFkGUZQRw5B6Rg49u42rvXOyqKQmNF3yIsygWd3etPnWTzti9oam5h2bz5fTofktt1tsvvmMHW1obJNDaaKQ4VqUnJ+FQl/qlX35ntb1tGC0/ff+sfZYW/7ioqwusdcIbNgDjw2Udsfvn5AY/fvv419n38Xr/j6k+dYMNvft71esNvfo61pvqSbPQXiqKgDygJfAFHW2cjkIHQ351NB7QT58wj1hKs/xguOh2SGOIsneFNVVVptFqpqa/nVGUVR06eREQgOjKSuBgLlsiogE3Z8HplvIpCXVlpob9tCXJRVieOn0BksAB92Am0Xa6LIftkROHSI+Xrf/GvzL35DpLG59BSe04gz9neTru1CYethfm33N11vK2pnvd+/zS3P7kW8UwU6dDmTzi2ezt3/cvPe8yvKArr1j7Bmh/+hNCoaNxuic9f+wtRE3O5+pY7L9rv5vOX/ojiU7jh249e8v2NNqxtbUSf14k+CGi1GsYlJlJVX/c7oP/GOlcIz967+utPvrlxVkFxce7CWfnCpdawHtmxlfqTpV2v25sb8bicPZyQjOn5ZEzLR1EUtrzyPMvv/yaiVovb3oHujDRwe3MT29a9xI3ffRyAptPlnCjcjd5owtFmw9nWRuGHGwBwttk4umMLxtAwvB4PcWkZ3fodjUYUVUUXIJtTiqKAIODqaGse6Dn9OSD3arRaIuMTgl9SI4ggCMTHxBAfc84habJaqT7jkBw9UQZn0roSYmOJjowKmLCotc1Ga201PlnufwsjiN8IjYpabAgxExZyZcpzjiSKogTMQ6Y/ZFlGvIwIiOR2EZ+ehajVsue9d1B8Cm1NDUQlJBFmiSEyrntEbuXX/5lNz/2CD//wXNci5OjObUxfeW2v81cdPoDOYESr01F6oJhjp04gCgIJEeG01nSK8sWkpHU5M+fj9XjQGwNHEnMg2DramZCR4W8zRh3j09Kpqquf+/Cf/mR+/pFHBpxSMtYxHd0/05aT33jw2LGoaZMmXdIc8WkZGM3n1iuVJcW0NzWSnjez27jopBQARFGkw9rMjrdfY/HdX0UQhK4oa+EH78J5+SGiVkdYdAyiqMHrdiOIAqbQzs1aFTCYQzCFhmMKBb1x9D/bFMWHLkA2p7yyF5/XC6raMtBz+nNAliVkZWM0mtBqg/Uf/kIQBOJiYog7zyGpb26ipr6BE+UVuKVSRFHEEtnpkMRZLJhNo/NB2Wy1UtbZgPBNf9sSpG8Sx08Yb9Trr1iltpFEUVUMurHigPjQXIIDcvrIQaoOH0JRFAo/2EBYTCxzbroN2Suz+eU/MfP61Wg1nY+r1roaohKT2ffxJlwdHUQnpdDW3MSO9a/hdnTglTxYa6rZsf41RK2mW8Sk+B8fMWXxCor3FlBeuJuw8HDwydQeP4qtvhbZK7HgtnsJjYrueW+SxFjKhZUkLz6vD0t0z3u90gkNMSOoqmCIiEgEyvxtz2hh7dq18k/+9vGUqrra0xGhodr0ceMGPYclJZUd77yO4vMhihrcDjuyJFGytbMkVPHJmCMiyZwxq+ucxXd9hY/+9D/kt9m6jlUdKaGu7DjXPvKDc3MnpWA547i01tXgcTmZsmQF0JmSNXHeYsJjAqO+y+fzoShqwKy9JUlGdrsAhiwCMnHc5KnB+o9RhiAIJMbGdXXl7eaQVJRzqPQChyTGgnmU7NzV1NTQWF7mBRr8bUuQPjHHpGbog/UfI4Oi+NCPEQfE65MvSawkIjaeBnMZptAwnO022q2NNJ+uoLnmNAZzCF+88mfCY2Ixh0cQFhPL7BtuQWswYjhTz2E+E6E3hIQQcV6URDhPQvfwts20W5twR8fR3NjEym98m9joKDb+5hdMXryczOmzuBhej2dM1YDYOtrR63QDKgQNEuQsv3jg2rpHX9p41aETx78IDQkRYgbpwNaWlTJvzR1dr4/v2UlrfR1zV9/WbdzZjQZbQx0+2UtC5nhOHz6Ax+VE066l6OONjM+fh8/rwdnejjk8nK3rXqLm2BEMIeciLO88/bOun//xl/8HgOR0kJY7nQW333spH8GI4HC50Gq0ASPpIXkl3C4nDGJtdzEHxAyET8ifQ1xwh2RU05dDUlVbx/Hy8x2SKBJiY/wWIVFVFZfkobbseHBHaXRzW8aUPGKv8OZkI4GiKCiKimasqGDJPkRh8PcSERuPLHlImpBDR3MTieNzGDdpKp88/ztu+M6j2Fta2L7+VVY99J2uNKi85asGPP+Jvbso/uxDRFGkuq4ec/VJdh0sAMBua2HfJ+9T8kXnDmxCVjZzbuq+GFIUBa/HjSAISG5nQKRv9Ee7vQOjKTDSO4KMLp792pptj7666fsF+w/8bun8uYSaB/73cOjzT1AUHwAttTWEREZhMJsp+nhTt3ExKWnMvvFWju7Yiq2xDoDyg/sQBHDZ2zGYzbTUVVFxaB+pk/OYf2tnpDM5ZzJL7/la1zxv/MdT3P1vv+w29xev/eVSbntEcbpdaHSBEf2ATgleV0c7wIAr/S/2pLhLEEUsqelER0ZdtnFBRo6LOSSlp05x8NgxdFodluhI4qItxMfEYDIOvxJKu92Oy95BR3NzUH53dHN9bFpGsAP6COBwOgNql6s/vLIX7SWqtjScOsnCO+5jy9/+THTyOD7+028xR0QiezzoTSZCoyy8/d//xuwbbyV79nzsrS00V1Vi7kWQQ/Z6kb0SqZM7Ozg3V1Wy4LZ72PXum2h1Gq5+8FtdY9995j+ZsepG0vNm9GlbRXEhBpOZiNg4Dnz2MbNvvPWS7nE00dzSSmRYpL/NCBKgPHv/6t8/vm7TnJ2FRfevWDAf7QA3Ua55+HtAZzF6c9VpvG43PvmcslZG3gxmXru66/VZx6IvNr/yQtfPc264lfJD+7sVtHs9nm6vw2JimXPjrSCM7tif2+1GrwmcjSlJlnG2t8EQOSA3xqVnYtTrxoxE5JXKgBwSnY54i4WYaAtx0VEYh8EhabHZqD56GGDdkE8eZMiITkpZoNPrR20d0VjC4XYN+MEdCHi9MrpLyFlWZBlHmw2dwYhP9lJ+oIj8a1dzbNc22poacbS1oio+ltzzNSxJnXnnTafLObZrW59zavWGLgfk7CJm59/fRCdqkDxuJGdnbbGqqnicduytnbWT5rDwHkXoB7Z8SuqUaWRMm8Hmv71I/vU3B3yH9NaOdqYnJfvbjCABzK/vWf3Ak29snLNr/74Ji2bNHnDNoK2hjv2fvEd8RhYOWyu3PPavHN62meLPPiRnwbIe47e88gKq2nsBVnPNacbl5AJgCg8neUJOV5G75HZRV3a8q8Ddbmvh2M6tzL7hlku425HF5fag1xv8bcaAkSQvHVYrQOVAz7nYk29W6qTcYB+AMcjFHJKjJ09QLEldDkl8bAyx0ZYhyVGvqamh8vAhFdh52ZMFGTbiM7KSQ81B52MkcLtcF5V+DTQk2YvJcGkPzZwFS/jw/z2HKSyMWx77VwBKd29H1GgQRQ2CKJKSM6VrfMa0TpnOwaGi1+moOXaYI9u/QNSIuO0dHN25jVPFhSg+hYW330tkfGLXGcd2fYmrvZ3ZN9yMqNUSERPH9jdfYcl5aR6jjZr6OjQaLQa9HpPBgN6gRzxvx1f2yXg9EvGxwc7WvaGqKj4ULG0hA+5pcKViig+f1tbY0VRSWho6NSen3/GNFaf47K9/IHfJVUxbeR3v/+8zbPzNL7DbWlj+wDd7jWimT5uJqvTugJxJ++kiIjaeiNh4ALa/9SqW5HFdBe3W6tMc27l1sLfoFzweCUMAbf67PW4cnSIB5QM952JPvqTsWXOCX1BXABc6JIqiUNfURE19PSWlx/FIHnQ6/TmHJMpySVGxFpuNxtMVA5ZoC+IX4uPSMjRJiYn9jwxy2TjdEgb92MnDl2UfupDB34+o1TJj5fUcL9iB22GnYMN65t58By5HB2HRFhy2VuhjB3Sw6HT6bs7Lu8/8J9NXXt9rClb9qRMUfvAuc9fc3hUVWf7AN9nwm59T9PEm8s9LFRlN7Cs5jE6vR1UUZEVBkX2IGgGdVo9Rr0Oj0aLTagM+ijNctHV0oNVq5bWP3DhgRZ8rlbXLl7u/+8Yb0ytqakvDQ0M1aSkpfY5VZJnPX3mevBXXkLt0JdaaalSfD3trC3qTCdkr9XrexTYaKg7t7/V48T8+pOpoCbc+/q+Du6FRgscrYQygCIjD4cDtsANctgzvdARBG5eZjSVY/3HFIYoiyfHxJMd37iIoikJNQwO1DfUcPn4Ct6cEvVZHfIyFuAFGSDyShKz4aDx1Mhj9GN3clTF1GtFB4YkRwSNJYyrFVZa96C/BoVJkmQ/+8BxRCUnkX7eGXe++wfu/f5qw6BgsKanUnzrZTQF32xsv03S6YkBzW5JSWHb/N4DOnW2DQc+O9a91KeVILhflxYU0V1eiKgp6o4lpK6+jZOtn7P/Hh0xasITs2Qu65jOGhnHNQ9/loz/+lsaKMpbe+41ed239haIoKKrKqiVLuilcOV1u2h0duJwu7C5nnx3fg3RulimKElhts/3I7+++u+zxv2288eDx4x+GhJiFmF5krKGziDwmeRyVh4o5vG0ziqKQNWMWN3z3cY7v3k7BhvVsW/cyGq2Wpfd+naTsiWx/6280VJzq89oep4OM83qIHPjsI47v2Ymo0XDDtx/FcCYd6/C2zVQdK0HUBsb3reT1EhEW5m8zBozL6cTjdA5ql6gvB+TemJRUDDodxksMpwcZO4iiyLjERMad2RU/55A0cOSsQ6LXERcdQ1yshbjomB5pJS2tNporK/D5fMEGhKOb2aFR0WgvQUo1yODxeD2YR0AAYqSQZd8lOVSf/fUPKF4vKx7+LlqdHkEQsaSkMnfNnQBotFr0531Oc268FdnrHdDc2vM3R16anTwAAFN5SURBVFQVg16H6bwUq9ylK7uNN4WFs/f9v1NasIP8a25i8uLlPeaMSkzmtifX8tlf/sDxPTuYvvK6wdzusOKVvYiC0ENe12wyYjaNnd+14aS5tVWVZd/n/rYjkPj1A2s+fvTVDe8U7N9/+7L58wkx9VTGihmXRmPFKUxpEYybPLWrZwd0pmDmLFiC5HFjq6slJiUVgEV3PnDR61aWFKMznPu9jk4ax+wbb+0R0dQa9BhDQpl/y12Xc5sjhizLAbU55ZE8SG6nbzDn9OWALE3JmRxMvwrSK305JNV1Z1O2SjAZDMTFxBATHUVcdAyNzU2cCjYgDASe2vH3N++LjI4WVi1fMWbUmUYrsiRjDB87mzyyz4dRN/gIyIqvPoRWf24RcdP3nuj2/tnFyVmMoZe2M5h6410Y9AYmnGlO1hcpk3OZuuzqi17HYA7hhu88dkl2DCeSV0YUgxsIl0NzWysaRXzb33YEEk+8+d56RZZvV1VB2l5YqF8xf2EPQYqI2Ph+Va30BiNx6ZkDvm5a7vRur8dNzu113MS5i5g4d9GA5/U3suJD10u0xu50UNfQhNFgwGg0YjToMRuNl9R/aSiRZBmPy9V7Dl0f9OWATJwwaw7xccEC9CD9c6FDIvtkqmpqqWlsoK6xAUmSARVne7sXaL/oZEH8Tc3Bzz9Zn3/tTXfW1NWTkhj8DhhOPLIX3RhpQgjgUxQMhsE7IOc7H8OJzyejG4DqmN5gBENgRgs6IyD+tiJw8UgSXkkWnrl/9adcfPM9yBmeePO99TpBvH3RooWUV1XpK6pr2b2vkEWz5wxYGStIdxRZ6fXZ0G63c/DIIdXV3u4IiYjQa7QGLQIigoBBr1dNBj0mgwlTiFkwGw2YDMZOZ8XQ6awM1/8Pxafg7mh3Deac3r6JzUBEYnYOMdGRQ2JYkCsLrUZLRmoqGamdIVSPJPHhli2cLjl03M+mBRkAPp/vq5/85Q+3RsXFaRPjrvb7zspYRvH5xpYD4vNh0I3eiI6sKAGV1nApSJIXMYD6B4w2Wmw29KKmHUFQ/G1LIPD4ug2faEVx1ZK5czGbTEydmEN0eCT7jhymYH8x82b23V8nSN8oqoKhl2eD1ytTXrxf2PjbX4Wef1yr1xMabSE8Ns4XERvvi4yLV6ITk4hNTtOGREVqdEajoCIIoiig1xtUs9FAWEgIJqNJ6HRQzv0zGAyDzn5QRQFne9ugNph7+5a6IyoxCb3egNkYlOIMcvk4nE6cLVasdVUf+tuWIAPCXVVy8D/KDuz/j2PpGUyZONHf9oxZfIoyJBLXowEVOou49aN38evz9Z7WMJbwemW0QXWrS6alzYZXlov8bUcg8Pgb720z6HSLl86d061eODkxgbCwULbs3IlHGltKfyOFT1XQ9yLR7pW9ONttAI2AATACOlmSRFt9nWCrr9NyEYVbY0goIVHRQmhkFFGJyWp0YqJiSUomMjYBU0SEoDcYBVUU0YgiRr2e0JBQ1WQyCyEmIwaDAdMZByXEdC7tS1EUQMDR1tY0mHvszcgbU3KmEGMJquAEGRqsNhuVRw4BvO5vW4IMmP/c8spffpSeOy0yIzU12JRwmFCU3ne5AhGfT0YQhFEt7aqMIYevLyRZQgxGLS+ZRqtV9UFws6wfnnxj4w69TrdgyQXOx1lCTCbOpAX5wbrAR/Ep6Hqpp/N6ZZzt7QATAdt5b+mBCUAWkAGkA0lAPBANRAGhbofd6HbYddbq02JlyQEBegY7dHoDYZYYQiKjCLVYhNDIaKITk4hJSibMEoMxNBzRYEADaHVaDFodPkkCVW0dzD325oDMHj8jn+SEYB+AIENDTU011aVHFKDY37YEGTitDbVf2/vhpg0x0VEsnjff3+aMSRRVDdgUrE65VwXtmXQfWfYhjPLiZ0VVx7wD4r1EJbIgnb/TdrtDUHWadf62ZTTz+Bvv7TYYDXOWzpnT59+TR5KC6buXiKIoKIrSa72a2+VE8rihu/MBIAElZ/4NBD2QA2TS6axkAolAnFfyWFrqaqJa6mpCOBNhgQuE9QSBkIgIQiOjCY22oOt0Qi87ApI8blIulj50nIMEGSxtHR00nCpr8LcdQQbNxj2b3j42/aprcppbW+hL2z3IpaMovoBdEDucLj7ftROT3kBkZDghJvOoLzhVfMqYT8HyuD1otcGF36XQZrcjajTyc3feWONvW0Ylqio+vv69g2a9YcqS2X07H3DGARnF0dDRjNvjQaMRe/0+dbpceD3SUNQnScDBM/8GgpHOCMt4IA1VzXTYbAkOmy2+oeKUBYgE9g7GgAsdkNywaItWZzQREtJTwzlIkMHidLuQvTKNleXb/G1LkMHjcblu+eyl54+GhoVx3VVXjfoFZiAhyzKq2tnjIhARRdBqNEydlENDUzNNLS0YL0EBa6ToitiM0OLc3tqC3mzuVNTqg/pTJ7BWV/X5/sR5i9AOMoXF45XQj2IhgNFMa5sNQaHS33aMSlRVfOrN90uMRuOkxReJfJzFI0lBOehLxOFyodX0EVnyePBJnkHJ3Q4RbgbnsPTLhe7p/SmTc7FERAT1//vBWn0aRZYHNNbe2sLJooJhtmh00tLaRn3ZCYB3/W1LkEvi2NGd2z6oqzhFZVXfC6Ugg8fpdqHVaAL2u1Y4s7uZFBfHjCmTWT5vHisXLvSzVX3jdLvRaDQj5kRveeUFvlz38kXHHPjsI2qOH+n9vc8/wtUxeNVyj+TFGEzBuiSara2q5JW2+NuOUYeqik+++f6xELN50pK58wYUtfVIElptMAJyKThdrh49VM4iSV5kSXKOsEnDwoVbb8uyps0kOTnZL8aMBJ88/zsUpf9mjRPmLCRr5pyu1x/837Pc8O1Hu17v/8cHdFibWfODHyOet4O5+ZUXCI+JZdb1NyN53OgNRhxtrRRsXI8lKYWoxM7P9ux7Y536xgZOHdwPsNHftgS5ZO7+5M9/aLUkp2qTE5N6dLkPcmk4ne6u+olApLPXtupvMwaM0+VEO4zRpr0fvNvNubE11hMRF0/hhxu6jRNFDTOvvanrtcPWSkP5yR7zqcqlfbaSV8I0iiNRo5mWNhuKTljvbzuGirVvvRVql/XLVafv4LPfvO2SIjt3vPWWPmv9+2WhIaEpi2bnD7iuQ5K8aMXA/X7zJ27J06eTJ/tkvF6pbYRNGhYu/O3ISZs6nZjosZvrPX7WPAThnFe+453XWXjbvT3GWVLGAbDv401MX3Uj7c2NlO3bg7O9jbqTx/HJEs62Nj78w2+IiEtg8V1fAWDOTbfx3v/8krj0TA5v+xyPw4HiUwi3xLL5lRcwR0QAkJLT2Wl3rFPf2EBDxSkHneG7IIGJve7k8f8pLdj+aFpyMjPypvrbnjGBy+0K2PoPAFEjoAZQpwS3x4N+GItiFdmH5oxzfvrwQUzhEZgjIruNUVUVn6/3yLnH5cBgCrlsO7xeGWNQtW7QuCUJyesVnrv75s+4eLPugMHhMSxSRWWTJkTLY69vQCNqFFEUJVDafYpSLyu+Co0qVimqWKpofaURbdp9ax+5qfns+Wu3bDE6G+3l4eFhCQtmzkQziJQql8eNxytx6nQVZrORyNAwjMaxv+k6FEgeDzp972mUiqIgu11joqb2fAfEbA6PjDCGhBIWcvlfgqOV86MaHdZmNBotmTNm9Tm+6uhhFEVBEESObN/CuMl5tNRWcfe//RLoTMXa8uqfAZDcTjxOJzd9/ynMEZGkTs7j4z/9D6FRFnw+GXdHO9c8/L3hvcFRhM/nw+vzUXuytNjftgS5bB77Yt3LD2fPnh+WnZVFaLBG7LJxezzoDQHsgCCiBlAExOXyoO9F1nKomLvmdqAz5bZ013au/86jnNizE1t9Lase+m6v5yz/ykMgCGh1etb/4l+JTjJw1de+hSiKONvbMYaG9nrexfD5ZMzBhd6gaW21odXo2sZUA0ItSWHmEPWqBQsFn8+Hy+MWPR7J6HJ7jG7JHed0ufJcbo/qdLtwe7zYwz3CE+s2IGq0PgE87kaHGBUeblwwc8ag6zkiI8JxuFycrqnCLclIXglVVdFoNGgEEVEjotfp0Ot0GPR6QkwmTCYT4aEhhIeGoNVeuVE8t+TF2Ec/JUUVcNsdY6JO6fw7vC1l0mQiQke/ksnl4mxvR2/U01BRhsF88YXU/FvuovCjjSiKD7utlbwV13B0xxdsfvl5ALz/v733jo+jvvP/nzM7ZXtR78Wy3LGNDSb0TiAQSoAAIRzJBcskF5JcLu17l1ycu9zlfiSXRo5gGwgJHUIx1VRj44KxjTuWe1Wzet3dqb8/VpYtW65IWmk1z8djH9LOfOaz71mNZj7vz+f9fr/ihyb293+6kRWv/J3r7vsRoihiGQZNNVVcdMfXeeX3v0L1+Xjzod9jGgbXffsHA3qOQ4Gmllba6urQo9EFybbF4bPT0dQ0a8kLTz8VDga57MILk23OsCemaQM6IB5oRFEAe/g4IDEtjjwIuRHvPfYQCPDh038l1tGOaei88vvEhFUwM4tL7vxHdnzyMZXLP0R0HVqND6SlE21r4625f+jVn0tSuOqefzrpzzdME6/XWQE5VRpbmtHNeEoJEFqWnXOwzLfL5cLv9eH3HjXB3GvAZxgG0VjcFYvHvXE9Tl5W9mlp+xTl5lGUm3eEPSaxuEYsHkfTNKLdPztjMZra2ojV1xPXNHTdQBBAEAWuveTSIa0tNBDouobfG+57pyDQ1tZ8sqV2hzSHOyDXj5p8JgUFRUkzZrB4769ziLa1YGgJj/y5//o3ALRolK/+8re92q545e+AjWUYhLNz+OjFZ0AQuOzuCqD3CsioaTNoOVBL5fLFhLJyaK6pxu3101JXg2noZBePomTKNJa/+Mygnm+yaGhuOpj/8WSybXHoF57+ZMFrvzzr89eOqm1oICcjI9n2DGtimo7PO3xnqgVBGEbrH6BpGu5jhDX0F+/+5SHaGuo545IrGX3W51j/3gJa6+u48Pa7aa6pZtmLCXmJsmkzKJs2g3hXJy//9r/w+IM9feixOIamkTNqNOfdcnR48PEwTRMEnNj706C+qcm2bSvFBAiFLOUUy05LkkTALxHw938kjCi68Ho8JyVs2xWN8u6SpSPO+QDQDL3PXEvTMrGBrsbGDYNvVf9z+BmeVTplGhmRSNKMGSy+eN8PAXjn0QfxhSOc96U7AHjiZ/9ydNvv/Ii3H/4TCAKTLr6SkslnsucX63j1gV9jxGMobg/eYKin/bSrr2fFy89j6DrbVi4jkJbB8peeQXS52L1hDe1NDURy8o76nFSkqmo/NTu2GsCuZNvi0D+Yuv7lN+f8aVUgLZ1rr7gCURh5D4f+Qtc13EroxA2HKIIogm1jcXQ5xaGIZugDGl78wZOPcmD3DnzhCIrbgz+Shux245Ik/JE04p0dRx1jGiYgcP33ftJr+9p33qCxau8p26DpulP69DSwLIuOzk7BkpTUmh20zSxFlodlSIuNjThCq2iZhtXn6rhhGFiGBtB36bxhRs9f1+MPFHhDIUKBQDLtGVQ6mptIO4EzoMWi1O9NhNstf+kZLMNAEEQ+P/PbmIbBNfd+D9u22bNxbc8xdbt3sGnxe0Ry8+lqa8HUdTyBIOMvuJTG6v2ccWnqJ5/bQEc0Ru3ObU7t1tRi9e4Naxftq9zM9l27k23LsMY0jD6VbocLAoAgnHQ58mSjG/qAqc5vW7mcmm1buOZb30c+heqGkiLhDYZ486Hf8eZDv+PJf/8Bbz70O6q2biarpOyU7dANA1eKh1APBK3t7bhcLuN3X/5iagkQCnaaMkxLMmu6gThsi5R/Nkyrb8FUXTcxNB1gx6AbNQAcfPpNyBszTvJ6PCNquSvW2UHmCW7yy/7+FDmjRlO/dzcZhcXsq9yIjY3i9uCSZZ771c8IZ+VQOG4SAPGuTizL5Jp7v0dzTTWfLHiFz1fcR93uHSz7+1N4A0Eyi0oH4/SSSntHJ1q0k+aamveTbYtDv/Olt+Y9eCB39BhXcUE+6gCHtaQqhmUxXAcHPQhgnWa52MHGMK0Bc0DKzz6XsjPPTpRk76PSVf3e3ez4ZCXiEVW4LMPEMk1Kp5zLuHMv5OnZP+aae/+ZV/94P+Gs3FO2Q9P0AX2Ga/EY+z89dvh5JCe3p9R8f7Bp8ftEcvPJKx/bb332RXNrCxapJ0AoCnJkuOaZ6ZreozU00jBNE6WPJHTd0DG1OEBKFEo4eIZ3lZwxhaKCgqQaM9iYun7ccKjG/Xup2bGNm3/8c168/z+44uv3ArCsO4fjglu/yvt/ncsld/5jjxbIxsXvkZ5fiD+SRnNNNQBufwCXJGPoOv60kRE339zSTNWWzQDPJtsWh36nqalm/1/Wv//WPXnZ2ZwzbVqy7RmWGKaJMswrvQgI3bpKQ9+RMs2+ZxX7i4PPgHBOLr5QIpTZMi0sy6K9qYHanVuZfvX1Pe03fPAOGxa+Tf64iYw5p1vAsXvCt/zsc/nw2b+RlpfPZXdXoLhPLqlc1wfWAWmvP8BHLz9L8aSpR+2r37cbfySNK77+zUTbxgaWPP/4cfvz+INc8tVvAGBoMSSl9+rRno1r0eOxXg6IZVlgWb30tz4r9U3NtmGa7/Vbh0MEURLTh+sqq25oSCPUAbEsu89ng24Y6AkHJCU4eGVeUnbmWWSmpSfVmIFmy4ol7FyzMvHGBmy7V8UR27J486HfAeD2+skbO56zr7sJxe3pXW7StvngiUcIZedSfva5vPzb/+acG26hdMp0dn6yks/deFv3R1jY2FQuW8TqBa9x3s13sP79t3jtgV9z8Ve+TiA9dZ2R6poadm1YZwMpd1N3AOCbHz731FcmXniZd0xZGZHQ8M1lSBZ2CqyAiIKIbhkMh1R6y7JQBkFE86AmFIBLlpAUlVFTz2LU1EPl3uv37mbbyuVc+Y1/IrOohD0b1rDkuSfJKEwUgRl37oWMmnY2S597gnhn50k7IJoxsA4IJL7HtsYDR2034r0HRl3trbTU1XHO9YnyxNH2Nta992bP89HQNVa9/lJP+zXvvMneTet79RHraKetoZ4dB5/b3cy47mYKJ0zql/MBaGxuFlx2/O/91uEQQbQF/0A63QOJphtHrRiOFCy77xUQwzAwNS0lVj+g2wFRfL4JgfRMIqHgidoPa9JyCzDiWs/7oolTeu0vmnDovex2M2bGeYd2Wof+5i6XRFbpaCacfzGQKK1YvbWS7NJyDEMnf9wEAAxNw9A0Kj9awqV330Ne2VhKp57F8heeZuVrL/ZU0kpF6psaqd+3p4UUWSp0OAoj3tX5/YVP/uWhgN/PVZddNkKjdU8fy7Y51Qo1Qw1BFLDM4RGCZVkm8iCHo5z1hRv73J5ZVMKXfvjvPe+LzziT4jPO7NVGUd1cetc9p/R5mm4gDfCgTVIULrzt7qO2r33ndWJHJNqLLlePzlZrfR3rP3i7570Wi/ZyQM6+9ibOvvYmDC1GrLMLgEVP/YWsklGMPy/xrPUGgv268gEJPR7DNPn1Hbe+x6kVHRv6iHilQXC6BwLN0Id1jtxnwbLsvnNADANd18wkmDQgSIA7v2xs0CPLKV89I7OohMyiktM69oIvH5rVuuVf/7PXLNPo6ecwevo5ANzRLVAIUDJpKnmjx+L2H0rsF0WR82+987RsGC5omo5hWtRs27LyxK0dhjFzNix8599nXHdTXlVNDQW5px6zPpKxTBP5GGJTwwVBEI6p7D3UsCwGZQUkmei6NuBaJ0Y83qODdTjRjjbS8ws/c//LX3qOqi2be6pL1mzbQs22LXQ0NzLt89cxrtsZ6S+aWlqQXFJqCRB2Y2Mrw/Waj2tayv+/9kUspiEIQp8rmbqho8UPm0Uf5kjALQUTJlJQ0H+JY6nI4cu9J7vELUpSL+djpNDU2kJj1V5Mw3gl2bY4DCy2bd/x5pw/LopkZZGblYVrhC6ZnyqGZWADkmt4P2ATDsjwmJCzTDPlBzTxeBx1AFfVQlk5SIrC1fd+F8Xt4f2/zqV06nRKp0wn1tGOoeu92uuxaI/Olm0DNj3vjycik1NWziV3/mOvba/+8f7+PJUemlqaMUx91YB0nmwsW5Jdw3OVVdP0YS3Uerp0xjpxSX0/RzXNQI9rnYNs0oAhAdeXT59BZkZmsm1xSBEONDawc90acBLQRwKLq7ZsXrlj3ZqzK0tKmTh2YKvVpAqdnVFcw9z5gIMOyNAPwdI0HURSfpU/rmv4TkLk7XRZ//4CDE1jwUOJ3MmO5kYaq/ezYeE7ANi2zfRrrqdg3EQAZLeHL//bf/XZl2VZVFX2LWfQWlfLqjde7rUt1tHeT2fRm/qmZtuyxNcHpPMkY9uI0jANY4rHNcLBkTeBG4vGjzkxFYt2IYpiy+BaNHBIsts9I5KdR1oonGxbHFKEmqpqDuzcoQENybbFYVC4+d1HH9pTMmmKUFpchPckE2ZHMl1dUZQUENkSBQHTGvorIF3RLobrQOxUiGs6aeGBERPWYlEqly/hqnu+TVbJKCCxKlF+1jmnFRYliiKFEybR0dyEP5J21P49G9biCQSJd3XiGqDyyZZl0d7ZKRh+nhqQD0gypmUKw3XVT9PjqOrImxiPxmNEo1FefvvtPvcLopgy4yopr3xcgSK5kI6x5OPgcCpYlkVU16neXrk12bY4DBr72hobnl35+vzbM9PTuOCczyXbniFPNB4f9ITogUAcJiFYXfE48ggID9R1DVUZmOtqwZw/UDp1Omvefo14VyJJvKO5kQ2L3mPrx8sBCGfncNEdXzvpPuNdnbzy+//hK784FF51sIrY87/6dyZccCm71q5C9fs570t3AGAZRr8loicECCX9DzdcW9cvHQ4hZj/3nL9DZ9iGxeqGgdczHOrr9S+yJLF95XLm//7+dUC0jyZfH2ybBgopf8w4V37e8dXAHRxOltb2drpaW+hobn432bY4DCp3fzT/+ZumXnG12tDcREYfM5oOh4jFYikR3yyIItbxgvmHCNFodERU1NENC88ArEBalkXB2IlMu/qLvbYfbwVEQDhhZbx9mzei+nxHbV/24tMIgkDJ5DPZtbZ3esbiZ/+GNxhixhdvPuXzOJLm1lawzZQTIARo15Si4TyxrJsmHnXkidy2tXdwYM9ugBlAyiSc94VUPn0G2VlZybbDIUVoamlh76cbgNRc0nY4Jpoej//07Uf//Gt/MMg1l12GIDiFeY9FTIujqsPfAXGJw2MFJB7XUOTUH8wYhoHP3f+zxqIo4g2FWfr8k722d7Y2s3Ptahqr9vfaPuGCS0jLK8A0DZ795b9xrFuBFo1Sfta5AHS1tbHjkxVULv8QURS57ts/SHy2LNPZ3ERHcxPxzg4a9u/lzCu/0C/n1dDcaBu6lZJaVZZkF7gkyYbhWSHdMAx8Hm+yzRh0mpoaaW9qtEhx5wNASi8oJH2AYkYdRh5VVfvZu2WzBTgleEcev9ny0dIf1+zakbFn/xhKCj97Sc5URdM0fL7h/3AVETGtoV+9NFUcvuNh2zamZeIZoLCVtNy8owQRc0f3XXRCdnuQFIXbfvYrulpbjtmnJMs9lSK3r/6IHZ98zMSLLu/R2AKYfvX1LHziEd6a9wAALkmieNLkz3g2CeqbmgUL+/l+6WyoYdn56jBd9bNsC2yGvVDr6dDe2UF7Y33KVLo6HpLsciEP0yQlh6FHc1sbB3Zuq0+2HQ5J42tvPPTH19Lzi8jPyXXuLcdA0w3SUmBGXhAFTGvoh2DFdQOfN7XjyQ3DRBTFAVNCzyopI6vk1I4RRbHPBPO+mHzpVUy+9KqjtvsjaXzxvh+e2gefBLF4HNO27d/eeeNCvtrv3ScdlyXkSPLwDMHSND3lK9YdC92yaK6tqUm2HYOBKLokdu7bS2t7O7Y99B8kDkOXWCyGYZjU7d2zLNm2OCSN1w/s2bWpcsUSNlVuSbYtQxbdMlJidk8URRgGIVjGACZnDxU0Q0N0Df/KaoNFU2sLkuhKSQFCAESy5AGqHjbQaLqBOAJDeDVdx7Zs2hrqNyfblsFAen3On+wNE88QiiZMxBMI4lVU8gvyyUrPJBIODnuhLIfBo7G1hQO7d4BpvpRsWxySyi0Ln3j00zFnnyuMKi0h6D86yXSkYxkmyjAdHByOKIoYw6AMr2YYKAMo0DcU0HUDcXiG+yeFxuYWDENfnWw7BgyLdEWSh+UFoY9QZ7ozGqWrrQWgb4GcFENav/Btcf3Ct6cCN/vCkWvzRo+bkDNqlFo6dRoZBcW4RIGcrGxysnPIiITxDqDIkcPwpq7uADvWrgZIzZhah5Olsqu19fUlzz91XSgY4PILL0q2PUMO00oNB0QQBexhMH88ElTQNV1HGKDwq1SkoakxZQUIARDtNHWYrrJqmoFrBF7LnV1dtNbVAHycbFsGg4N35LXA2s6W5p9tW7WcbauWZ3343JO3SKp6Q3752HMyi0tDo844k7wx43DJEmF/gMKiRPJ6KBBwqt04AFBbW8uB3bu6gFiybXFIOnesXvBq01nXXCfXNdSTnTHyBKWOh2VZDNfwiMNxiSLWMFgBMS0LWUrtECzd0JGGqebDYGNZFm0dHYLhF1O3WqMtpg3XUt+6oY9YB6R29y6A5cm2ZTA41pTQAeBBIx5/cM/G9ezZuF5Z9fr8a4BbskpKL8suG5NTMHqsWDzxDHyRCG5FIT8vn8z0dDIikRGhOOvQG9My0UyLmq2b1yfbFochQYdlmn9446EHfhBIS+faK65AFEbeA+VYmDYpsgIiYg2DKliWZSEP09ngk0XTdKQROGg7HVrb25EkRf9NCgoQHsQlSenDdSym6zouaeRdy01NjbQeqLOBlL0uD+dkr04NmA/MP7B7Fwd272LDe2+dCXzpYNhWXnm5WjrlTNLyC5FFkazMLCdsawTR3NJGW8MBYtHoW8m2xWHI8MM9G9fN3Fe5ObR9dDljSkuTbc+QIRESNPwHxC5BGBZleC3slA/B0nUDl5OzeVI0t7RiW9buZNsxkIgCweOtsn6y4NWjhCV3rl2FOxAgnJmLNxg84WfU793F+vff4vKv3duzTYtF0aJ9CXj3YaNL6vNzNE1DTvGcrb5oa2ulvakpnmw7BovPcrdaA6w5PGxr0dN/u0VS1Rvzy8fOyCotC5VNnkbO6DFIskTI53fCtlKYxuYmdm1YA/B4sm1xGFJ88805DzyVO3oMRXl5uEegsu2RGEZCX8qVAuEyouhCM4xkm3FCLNNCSfEQrLihO2WvT5L6pkbbNMz3k23HQCIgeuVjrIBosS62rfroaAdkzUpCWTl8+PTfKD/rcz373/3Ln2mqrsIly+ixGJMvvYoJF15KrKOT5prqXn1ULv+Qqi2bem1rqqrCGwrh9vt7bfeFIlx0x9eOsi+u6SkRonqqRDWdtvq6pmTbMVj0593qqLCtla++1Ctsq2T8JLGwu9qWR1EoLCwiMy2dtEgI1wit+Zwq7K/aT9X2rSawI9m2OAwpnm6pq/nP9e8tKMvPzmbGtGnJtifptHfGUyZMVRRF7CG+AmJZFpZlIUmp/YyJx+OoI3DQdjo0trSkrgBhN5ZgqX05ICtfe5H9lZsQBHj74T8xetoMAJpqq+loakSPxcgtK+fAnp2sX/g2ky+9inhXF+POu4jJl17FW3P/iB5PpHm6ZJkjxRuO1HOp3lbJwscf5tr7foiinpwWT0yP4xlhk1WJUFaBpur9I2YMNZBPwWOGbUXyCq7PHTV6bM6o0Wrp5KmEsnOQRZHcnFxysrPIiKSlfM32VMIG2ru6qNuxc3+ybXEYkty2+NknV0286HLKy8qIhELJtiepxOJR5BRY/QCQRBfRWJx9NTUE/X5CgUCyTTqKaCyGS3Sl/Kq7pmkEg0Pv+x9qxOJxDNNKWQHCQwiuvlYRzr7uSxzYs4vRZ32O0dPOwRMMsu/TjXj8QQTRhaQopOcXkZ4PiifhMAiCwIHdO9m0+H06W1swDYPn//tnCC4XWlcXr/z+fzANnbO+cBOFEyax8rUXqdm+FYCO5iZEl4sFf/59Lzu8oRBXfP2bfVqux3VCwZH1nOiKRdGinRi6PiJK8MLAOiB9sQZY01y9/2fN1fv5dMkHucDXPP7AdTnlY6am5xd6R0+ZTk75GCRJIi0UIi8vLxG2FQw6Fc6HKB2dnWixKE3Vez9Iti0OQ5LVWiz6wcIn/3JJMBjkyksuGdH/y13RWMqEyng8bkzTZP3mzURCIc6bPj3ZJh1FZzSaMitOx0PXNTzOxN0JaWppQZKE1BUg7MY0TdexQrDamxqo27UdUXQx8aLL+OjlZ8krH4euxYl1dtBSV0PNjq3c8pNfAAkHJNrRTktdDYam4ZIkbv3X/2T3+jWsfnM+13/vJ7z6wK9pb24EoHbXDsaccz7jzr2Qp2f/iDt+/v8B8OTPf8idv/g1hhbj+V/9/Ji2ayPwWj7Q0EhdogLW0mTbMlgk+65cA/wq2tH+q11rVrNrzWr3qtde/pLL5bolt3zchVklo9JLJ00R8seOQ3a7Cfp8FBQUkpEWIRwMOlV1hgjNra3o8Thl087+yt5PN5TosdjDwFNASt/gHU6JmzcsfKduxnU3SdW1teTn5CTbnqQRi8dQ1NR4uJYUFFBSUMCqjRvBPjIYY2gQjcU41kAsldB0A/dJhriMZBqbW9A1c1Wy7RhwLFvoK5G7etsWbNOi5UAd8a4uDC2OoWucf+udvP/XuYSzc5l29Rd5evaPe46xgeJJU3pCsA4S62jDdYL/LcuyeP+vcxP9mCdXslszTbyekXMt27bNxs2f8tH8FwzgyWTbM1gMtbtyDHjKNM2n9lduYn/lJj5Z8Op5wFfS8vKvyi4eVZpbPkYaNXU6waxsZEEgNyePnOxMMtPSU6KqzHDkQEMDOYXF3P7jn8ldMe3iAzu3Xbxp6aK/7dm0fm9zTfVzwO9IOJsOI5cm27YffePPv68IZ2WTk5mZEknYp0MiVj+14pu1uEbwiATToUJUi6V8BSwAzTTwuFPruhoI6psbbWw7dQUIgdkLF7o7qltw9ZH3lJabx+Vfq2D1gldJzy+kYPwZbFqykPf/OpfGqn20NRygpa4G6zBnQRAENi/5gG0rlxPraCdnVDkAbQ31eEPh49oiCAKTLr4cgJodW0/KfsMw8IwgB2R/bS0N+/exd9P6NxhBE7fD4a68DFjWVF1FU3UVm5d/mP3+3x652RcK35wzuvzs7OJRgdLJU8ksKUN2uUiPRMjPzyctHCHg943oUI/BoqG5mcnjx5OXlYWm6dQ3n8mks2cIDc0txdH21h9+uvTDH1ZtqYzv2vDJIiMefxx4Itk2OySFb1Zv23LnzrWrfVtKS5kwZkyy7UkKcd0g4Pcl24x+RdfjeNxpyTajT7S4hqyk/sDcNEw87tS6rvoby7Zo7+gQ9ID4dLJtGUja6rqKZJerz/GP2x/A7Q+gerwIgkDtjq0ICFx2d8UxV0DAZty5FzLlimt6rYBUb6uk/OzzTmhPR3PzSdtuA6Zp4nN7T/qY4YwNrNu4kQ+e/hvAj0/QPKUYDg7IkdQBD3a2tjy4Y/VKdqxeqSx78dlrXLJ8W07ZmMuyS0oziyZMEgvGTUR1e/B7PRQVFpOeFiYSCjlhW/1MXNfQdJ2cjAwAFEUmPzuH/OwcbNumtb2dyZOnsmfvXjWmxa/at3nTVVtWrfjr7k9W7Wpvbnwa+DXQltSTcBgsLOCf33n0obklZ0ylpKgQr3vkaQRphoYqR5JtRr8S1/QhG/4Ti2u4leH4qDt5LMvCtm1Ud2qE9g0ULa1tSC5Z/80N16W20JuhFUpu1YajfZDlLz3D3k0bsAyDeLST6VdPAWzefOh3tNYfoLm2mrrd2zHNY5fXbq6t5sDunXS1tVJ+zvEdENu2qdm+JfH7SVTMM3QDURQQR4ioZt2BAzTX17Fr/Zq9QGWy7RlMUuGurAHzTV2fX1W5iarKTXyy4LXzgK+m5xdelVlUUpx3WNiWKrrIzcsjKyOdzEg6Soqr4w40jU3NqIra581CEATCwSDhYJCJY8fSFY1SN3kKO84+V2yPdpXtWb/mpy/8+pdlwFcG33KHJDGvvanx31e+Pr8gKyOD82fMSLY9g45hmCkXEqRbJl51aDqTmm4Q8Kb2yoBuGIiCyMgYsp0+za1t2La9K9l2DAK5x8rNGDPjAqZfcwNLnn2cnNFjySopA0Hgmnv/uc8VkNqd2+hsbWXLiqXsXLsKQRAQRBcfPPkoRRMn95TWFY4qyJtAFEXOv/VOAHZvXHtCw3VDRxxBsgzrN21i4ZOPgW0/kGxbBpvUegoeYhmwrLFqH41V+6hc/mH++3975OueUOjanFGjJ+eUlHlHn3kWGcWlSC4XmRnp5GbnkBaOEEyx0IiBpqG56aS/M6/HQ2lhIaWFheyvraF662aAVwfUQIehyJ3LX35u0dQrPk9D82gyIkMzdGegMC0TOcUmPgzDwOcbmiETppn6oma6biCMkBnjz0JDU6OtmXpKCxACIAg5yjEckPT8AiCxMkH3ioTV/dO2LcBm76frsezEtpbaasqnn0PJlGmEMrMxNI03H/odkqJw3i13osVjvPGn39DZ0kJGfmHiQ2yLte++waYP3wdR5IX7E9W0RJcr8ftxClZouo44QmLnG5qaaGysZ/vKjwzg98m2Z7BJVQfkSKqAX0ZbW3/ZXW1LWf7Scz1hW1nFJVmlZ0wVCsaOR1LdBLweioqKSY+EiQRDI2Yp8HSob2hkVHHRaRzXwK71awFe6m+bHIY8iw1N+/jtRx+aEQiFufrSS1Neo+FwLCO1VLkt2wKbIbuabJjmkLWtv9B0DddIGbV9BhpaWgRZcj2XbDsGHitbkY9/j/EEg8juxOpFRn4hlmURysrBF0ljf+Umxp5zPgDjzru413GGFiezaBQzrrsJURRRVDflZ59HZlEJWSWjAIjk5DPlimsomjC5z882NI13Hv2/PvfpujFiVkDWf/opi595Atu23weOHfOWoowUB+RIjgrbWvPW62cCd2UUFF6bUzamNK98rFxyxhT8aemokkxBfj5ZGRmkhcPDutrWvk83kj9uAq31dQhAODv3tPsyTZPOWJTC3FMvqVpbU0v9vj0xEpXPTovZs2dL+/fvv/bhhx+ef7p9OCSNW7Z8tHR39c7t4p7yckoKC5Ntz6Bh2VZKDYg1TUccwhXNTMvkWLPBqYJmOCsgJyIWj2NZln3/7TcsTLYtA41oC5mKevx7zHlfuqPn989XfAeAs75w4wn7dvsDfO7GW3ttm3jRZb3eX/Dl4ys8SorCNff+c5/7NENDdKX+tdzc2kpjQwObly6CEZZ8fpDUviufGmuANQ37932/Yf8+Ni56Lxu42R9Ov6Vg/Pizs4pL/SWTp5JRUIxLFMjJyiInO5dwMDiswrYWP/NXbv3XX7Du3TfBtrnkq984qs2yvz9Fa8Pxc/Rk1c2U629DlhQkSWHdu28SzsmjeNKUnjbzf/ffnH3dzeSVj+3ZVr1jC0ufexLNtPjcuDFcPn3qMVU/XS7Xrx566KHHZ82aNUcQhPaHHnroB4fvb2xs9Iqi+OysWbN2GYbxlUceeWTNyX8TDklmH/DcGw/98fa0/EI2bd6Mqir4/X5CoTButxu3ouJWFTyqiqIoKbMSaVoWfdXnH65ouo5rCE++m6Y9AkKwdFwjYND2WWhsacblElqTbcegIJAmi9IQ/q88NpqmIw3hCY3+YtPWSpa++AymYdQAa5NtTzJwHJBjUwc82NHS+GDl8iVULl+iLH7m8Wtkt/u2rJKynrCt/HETUFSVkM9PfkHBkA/bEkQBSVIS4kHHiMPMLR9LekEhdbt20LBvL1Ov/AIAK+Y/x/gLLsUTCGBbNo0tzfg8icRTdyDAkuceJy03n0B6BpZl0d7USEZRca++tc4uBEFAHDOJp/7wjT8D3z98/8yZM6fOmzdvPYfVwrZtW7dtWz/Sztra2lgkErFs214kSdKtJJxIh+HD1w/s2VX+yA+/XRDKzAp4AiHVEwiK3kBACGdlE87Kxh9JxxMIIKlusCxEQJFlvF4Poe5S26qq4j74UtQhry9iWRZKClVl0nQNhuj9DsC2zJRy+PpCN3SkERK2cro0NregGcbKZNsxSESG6yqrrhtIYurcH/uivbOTugMNrH//HYA5ybYnWaT2X7l/0YD5eix2zLCtwnET5OKJk/FG0vAoMvl5eWSmZ5AejiAnqerNivl/Z/+WTT3vLeNQmOH+rZt55ff/k9huGpx381fIKhlF6ZTpAMSjUVob6hl15lkArHztRfJGj+2J81y04iNCisSqN14GQPV4WfTUX8gpKyezqARBFNn/6UYATEMnnJ0I1bJsm/2Vm7n77rsvlSTp2kceeeR1gO9+97vZ0Wj044qKiv+aO3fuLw47DVsQBPub3/zmjaZpzrZtO3rYPtW27SmAOmvWrJo5c+aMuEoSw5gYcFZrXS2tdbVH7ksDzgAmArlAVjgzZ2wwK7vY7fP4vaGI1+MPqN5QyBXKyCKYkYEvFEHx+hBcLly2jSRJeFQVj9dDOBw55KR0v1RVHXSdIE3TAQFXCg0Wdc0Y0oNf02ZErICMBLX3z0JDc7NtY7+WbDsGA0kUM5I15visxA09aeOlweLTLZV8/OqL6PFYA/CfybYnWaT2X3ng6TtsKz3jloIx487OKRntL5kyhbS8wu6wrWxysnPISAsPmv7BOTfcwjnc0vP+qZ//qOf3gjHjufD2u0+rX9u2aWvvYNy4Meyr2c+2lcsZPf0cvMEw0Y42Pl3yAZIsU7N9Cwf27ETX4sy47mYgkTuyd/MWO2908XuWZc2fOXPmg/PmzftOV1fXYlEUt8yZM6fH+Zg5c+ZiEoNQyzTNPNM0v64oShAgOzt7RU1NTf3cuXPPPa2TcBjKNAGLul8AtNTX0lJ/lKNykB6HJbOoaExaftE4ry9YpAb8mW6f3xOMpKu+UMTlCwcF1efvcVRE20JyufC4VTweL/5AAK/bg6IoKIqMW1FRZRlFVfpFQ6gr2oUkD93B+umgGfqQXnWyTDOlVpz6Iq5pKe9kfRYSAoTtgulzPZtsWwYFUQzKruF5PcTjcdQUvpaj0Rj7a2v5ZMFrNnA5I0j5/EhS+648+CTCthobesK2eJprZLf7toKx46/ILCrJKJk4RcgbMw6XLBH2BygsKiQ9HCEUCAxIJSDLMNi9YW3Pe9s+dK13tDSxc80qAFyyRPGkqTRW7af1QGKQ11JbjR6N9rSxTIPq7VvoaG6iM9qF3dFKdkER2QVF7Fq7mtzRYwln52JbFluWL0FSVc6/9U7efvhPqF4fJZPPZM/GdViWRUPV3taH3n3zBxUVFW8LgjC/oqLiNsDT1NSUd7j98+bNu6iiouIBoH3u3Ln/WlFR0Wqa5pvAF6uqqq4UBMGqqKj4jiAIs+bMmTOx379Ah+FCj8NSv3cv9Xv3nqh9Wvbo0edn5ZdcGkxPG+uSlSKXomYqXq/X4wuoHr9f8vj9otsfQFJVJMUN2IiAJArdYWBeQuEwnm6HRe1+KbKCqsp9OixdsVjKxTdrmo40RCswaXrqrTj1RaoP2j4rLa1tSJKi/+aGa1NbgLAbwYV3uGoNaZpGMBhIthkDxsYtlax9ZwGxzo7fA+uTbU8yGZ5X6PChJ2xr17o17Fq3ho9ffelM4K6csvLrc8rKiwvGjJOKJkzCEwjiURQKCwpJi0TIiESQ+mFJXdfi7F7/Sc/7w5VIo+3tPQqlLlmheNJU9n26nn2Vm5Bkia62NrRoF1tWfAiAaRjs+3Q9kqLQ1RVFDIYP9WvbrH3nDUxdR9c1LrjtLla88jxarIv2xgZKp0wDErORNlC7c/tqgLlz575dUVHxBHAPUBuJRE44G6CqakU8Hj+YvC4KgnA7iVLLDg4nS1Pd9u2v1m3ffrI6NKXFk6dfnpmbO1X1eUtdslIkKWqm6vV5VZ9f9fj9kjvgFz0+P5LqRlbdYFsINkguscdhsUUXtmWxt7oGVZGQJRlFkVEkZdhWxtIMDVlWk21Gn3R2xZCk1HY+AOK6gc/rT7YZQ5am1taRIkCYwBLc0nB1QHQNj5I6ZcoPp7W9nb1V+1nzzhv7OCL/dSQyPK/Q4c0aYE3tjm3fr92xjbVvv5EL3BVIT78pf8z4STmlo/0lk6eQll+ILIpkZ2WTnZVNZiSCx+M+5Q9TvT4uu7ui5/3hIViZhcU9CqUHmXrlF3qSzte/t4B9lZt6yuU9+5//yjnX30pWySiWrl5FwHeo+pdpGFz5jW9Ru2Mrqxe8SvGkKexat5plLzxDrKODsjMTitcdXV3YpokRjy+YPXu2VFVV9TpwoW3bM0RRfA7Ycd9994194IEH2o48l+4cEeLx+Lu2bWd2b95l2/YMSZKuO+Uvx8Hh5Nm1Z/3qh/ec/HxVadm0s6+IZGZPkQP+UZKkFMmqkhHKzA6Gs3LUPRvXo3g8ouL2InvcSKonUcrWthAA2eVCVVTcHjc+rw+Pz4siyaiKgiwrqIrc7bxISZ/dj8e1IRviFI1HkUdAdShd0/GoqTlo6w8amhpt3Yi/l2w7BgsbWxquhRc0TcetnvpYZ6hj2RZLV6zgvcfm2q11tRef+IjUZ2g+NUYWNcD97Y2N9/eEbT3FNbLbfXvB2PGXZ5WUZZROmiLkjB6DJEtEgiHy8/NOOmxr55pVRNsPjeUty+z5/fAQLAC3309e+bie9811NfjCkaP6tEnUsJ4wury7TwvbMlG9vcsRz/jiLbxw/2wKxk5A7F7Nae/swNB1rrnmmt3V1dX1oigahmGMf+SRR/bceuutYyORyKZYLLb91ltvHfX88893dHflA26PRqP1tm0vyc/Pv7mqquphy7LaXC7XCiDvwQcfXHDir9rBYdDYteOTlfNOoX0pMDmUlVWelpM31hdJn+ANBPNdbo9fURW3JCuKx++X/OGwoHp8qF4fbr8fye0BQUCwLAQBZEnGo6qobjden69X0r0sS8iSgiJLqIrSbyGfsbhGwD80VdBjsRjyCQTZUoG4oaO6h+bfYCjQ2NIq2IIwMvI/AMu2XcM1kdswTbzq4OTIDibrNm5ix4Z1bPjgvR8CI2c17jgMzys0tTkqbGvF/L/3CtsqHDteKhw/8VDYVmERmWnppEVCR82GdjQ1EI9FewYbwmF1fw4PwQJ6qltBInekelslF972D0cZ2NnZBQhEQiEA9mxYg+o7evm/dntlwoaW5p5tTU1NmIZBXl5eM7B4zpw5N9GdhPX8889rs2fPHl9VVfXLg87HrFmz9tq23WYYxlmPPPLInm9961ubq6qqHhYEYaLL5foBcBOgVFRU/FwQhJw5c+Z886S/aQeHocMuYFfrgQO0HjhwMu1LgclAfiAtrdSfnjnB7fMXqV5fWPV6fS5Z8cqqIvvDETGQlo4vGMLtD6B6vShuLy5FwQZEbFyCgCxJuFU3Ho+HYCjUy1k5+Lun24k5El2P41bS+vXL6C9i8TjyMA1tOxVM08TnGZphcMkmGothWZb9u698adGJW6cIliUM1yR0wzTweFLLAWlsbmb7zp28Pe9PG4H/TbY9QwXHARke9Bm2lV5QeEtu2ZgJ2aVlvpJJkwll5yCLIrk5ueRkZ5GRlsbky6/u1dHWj5cBiZyN9IKio0KwAAwtxmt/+l9CmdkUjOud1y2IAo0tzbiVxMPOsixWvzGfSRdfTu2OLVRtq0QQRTZ88A7r33+Ly++uYMX853n9/37LNbO+Q1zTcYmC7XK5rgV2VFRU/Obw/qurqxEEgYqKit9alrVMFMW7/vznPy8CmDlz5h8Nw/gHYB7wN+AFQRAeANIty/pX27ZX4eAwMtjV/aK9qYn2pqYTte9xWIBclyyXBTIyygKhtAxPwB+U3V6f7PYoqscjqn6/EErLwB9JwxMM4Pb6kd0eXIoKgo1o24iiiCJJuFWV9lic5rY29lRV4VYV3Kq7JyF/IAprnApxTUMdASsghuE4IMeiqbUFlyi2JNuOwWL27NlSu2UPy9wny7KwbVDcqfM/axgGSz/+mDfn/slsqT/ghF4dhuOADE9qgPsb9++7vzFR/tcNfN4fjNyZN27spZlFo9JLJp0hZJWUIblcpEXC5Obmkh6OYFs2hqFhmWafQoTVO7aw8LF5ZBaXcMU/fqvXPsuy0OMa9dE2wt1VKjYv+QDF42XceRez7IWnqd5WSbyrk42L3uXyu2eSUzaWG773/1gw949UrlyO7fNRuXnzukmTJh2znupBXC5X60HnA2DevHnfAb4ze/Zsd3V1dQ3wm4Mle2fNmnWBZVkdx+rLwWGE0+OwAJi6TktNDS01Ncdq38thAUqAQrc/kOEPRTJVnzfg8Qdl1ed1FU2cLHS2tBLMSCeUkYU/LQ23L1E9zLZMZEFAUVX8Ph+RSBpujycRJqaqiZ8D6KjENQ1vis2mHolpmoCNJKXOoK0/aWhuQTdHjAAh7QVn5Iui67T+p+zuMUGyJg40w0AURFIpa+vjNWvYuOQDtn287BskqjU6dDM0ayc69AdHhW0VTTgDt6Li8/vIyckhIxQhOzcb8Yiwra7WFryh8FEdNlbvJ5CewXsffcTU8RPJzco8qg3Ahg/eYeIFl/bkfRykqq6W+c89zdP/8dM7gac+4/mJHFE/+9Zbb1Wef/557TP26+DgcGoEgTKgiITDMpqEw5IWSMvIDGRmZvkC4YA3HJa8gYAYzMgUIlk5+NPT8QaCSB4v2BYuQUCVZXxeL6FwBK/X0yuHxaO6EU9RcX3JxyvJykhnzKhRJ248TInG4ry7dAlfvPzyZJsyJHl/2TK7rT363f/96vUjQqT2u0+9eIFXcS/+wsUXn/L4rrW9nYUffYQsSaiyjMfjwet24/N4cbvdeN2JiQOv2z0g2j/tnZ0s+ngF1116Wb/3nQyq6+pYvGQxj/7ke4uiLS2XJNueoYazApK69Bm2lVFYfGt2yaiJOaNGe0qnnEkwKxtVdJGbm0tWZgaZael9Oh8A6XkFxLU4hm6QnZF+zA8+45Ir+9xeX9/Arg3rAF7+jOcGfYj3OM6Hg0NSaKP7fnPkjvamBtqbGo7cfJTDEsnOnRjOzcsLRNLSVH8w5PF61WBmpiuYlil4wyG8gSCyx4vd7agosozX4yUYCuHzeA+tpqgqXo+K5Eo82jQ99QX6dF3HNUR1WJKNZVu0d3YIguUdMQnoiiXmn+71EIvHcSsK506bRmt7Gx2dXXREu6itryeua5imgWFZmKaJiJAQa1XdeDxu/F4fBTk5BP2nXw5aN3Rc/SD4OhSIxeN8/MknvPrAb2PRlparkm3PUMRxQEYONcD9Dfv23N+wbw+bPlyYCNsKp381b0z5JVlFpenFkyYLmSVlyC4X6ZEI+fn5pIUjBPy+nqWyhuZmZEU+5ZlIgJraWur37o0BXf14Xg4ODsOLoxyW5roamuuOGQ6WcFgUpbh0wuSzAmlpUzzBUJnH74+o/oDfHwy7/eGwyxsICorXi0t1I9gWLlEEUWLX3r00t7bg8/kOKdsrMoqsdv8c3g6KbugIKS60eLq0tLUhuWT9f77y+ZOq7JAK2Ni56mnqaMQ1DUmWCAUChALHFwPsisZoae+go7Odzq4ou/ftR5Hkz+aA6DpikvPG+gMb+GjVSlYteJW9m9bfQKK4kMMROA7IyCUGzO9oaZy/9eNGtn78EUv+/vSZkizfXTRpyo1ZxaUF+eVjXXljxyMrKkGvl6LiYpqamwkHgqf8YbZtEzMMands3dr/p+Lg4JDCJBwWTVuza+2ql0+ifXjaTTddFnSHzs4qL79a7+ryxWNdftXt8/tDIVVxuyVJUUXF7UXyqIjd4pAuQJYlPB4vXo8HfyCAW1VR1YMK9wmHRZXlpCfXH46mG6c1ITQSaG5uxbLNncm241T4wd9eKZVkO7zDFd/0/Je/fOoDV1vIUU4zHygaj6GcpH6I1+PG63EDGQB0xaPE9fhpfe5B4pqBaxgmzx/Jzj172LNzJ8tefPZZ4O1k2zNUcRwQh8NZY+j6mp1rVn2vWx8kF7grd3T57bllY8bnlJa5x37uAkTJxZvvvUteTi5ZmZmkhUOoyvErsLR1dBBvb6WzpXnhYJyIg4PDiKXlk5deehF4Efh/J9E+PP2Ka8/3ZmadL8niKBCKZVnJV/2+gKJ63R6/T3Z7vaLi8QmK14PYXVXrYAnjg7Hy/uChcLBe5YvdbuQBHFTpho40AsQWT4f6pkbbNu13k23HKSGZ/2FYwleLbYUfPfOK7RJEwxbosm0aTEvfh8keXNZuSxc2GYqy+Y+3X7fx8MMt0c5Q1NNb1Yt2RXGrp1dNTZVk4pp+WsceRNc1XOLwHpZ2RrtYt2kTrz7wmzY9FvtKsu0Zygzvv7TDQFMD3F+zfdv9Ndu3AbjfeOiPn/enp381r6z8knBufvqoSVOFnNHluCSJkM9PfkEB6ZEwkVAI8bBYzqaWFvZvrQT4e3JOxcHBwaFPWla/+/rrwOsn2T4jb9y4aZlFoy4NhEJniJKcJ0hyuixLAU8g4PWHwrLHHxQUt0dQvF4k1QMCCLaFJIo9miv+QACfz4csS4fEIg8KRarqSVeI0XQNaQASglOBppYWwdKF55Jtx6lg2WK4vLiASWPHoeuGEI3H5Xg8HorG46F4PF7WFY0Sjcfsrq4o0XhM+MHT83EJoi2KoiEIQpduGlJHe4ewc+8e3G43biWRNK6q6glX7qJxDb/v9KrGqapCR+dni67WTRN5GF/Ltm2z5KOPWPzs49Tt2nExfeSqOhzCcUAcToVE2FZj4/ytjY0AfDz/hStxuW7LH13++cyiUbkFY8e7CsdPxBMM4pYk8vLyyc7IoKqqmj2fbrKBJUk9AwcHB4fPRkN1ZeXb1ZWVJxtakTH+3HMv8GZkXqCo3rGy7C6QFSVdcitBj9fv9vh9suoPCqrbIyg+H5KqIggigmniEgVUpbsSmDchEulR3b3yWKKx2IBUJBruRKMxTNu2//drNyzu774rKipesW37ur72CYIwd+7cufd2vxUrKio6BUGIzpkzp5da56xZs0zTNL/y8MMPP9vd528FQbjPqtq9Qyor5Ymffp8LvnwXJZPPBL+PVW+8TOXyDznvptuYMm2GAInS+M/84se4ZFm48r4fybFYPNTS2kpTays79+3HMA1s08KwTCzLJr6zEq16H5gGgigie/2MvvAyisZPQlVVYrEomWlpPPXzHyLJCl/+6X/1Orcnfvr9nlK9Lkkio6CIK77+TURJwqO4Wff4XLa/8DiCICCIIm6fn7Gfu4BJF1/RZx8HyS4ZxVUz7yMWi7P7lafZ9+YL3Paz/+4JLXz/r3PpbGnmi9/98en/0QYY27ZZvX49uz7dxOq33/gdsDbZNg11HAfE4bPyDqb5TtWWSqq2VLL2nTfKgH/whdOuzRs7dmJ2ySh36RlTSc8vorFqb1uyjXVwcHAYZBo2L1/+Midf/S+ruHzS2aGc7PPd4dB4xeMtcqlqhqwoQbfH6/GHw7Lb7xdUj1eQPV5Urw8EgZfffBOXmFC1V1U3Xq8Xv9+PW1VRFKXbYVFQZRlVUVLeaWlqGzgBQk3T/sHv90cO3xaPxx8SBOEK0zTnHNxWUVHxbUC2bVv91re+dfWDDz644OA+27ZFqVu8ZdasWX+2LGuWbdvflotKviVLErZtY1kmAB+/8ne2rFjKjOtvZtS0GT2fufWjD7EsCzMaJXagjrzyseRlZ/dp81vzHqBt3y6yxkwgUFRCPB6nde8ePn37NQ4YFqZpo5sG/u2bsCyLeLSL6m1byCsf29OHbdtM/8KNFI6bSPX2Sj5+9UWWPP8EF93xNTxutWd/wdgJNNfsZ8/Gdax5+3Xq9+7m0rvu6dVH0YQzevpVurV6NC2ObdsYWpzVb7zM2dd9CQBD1zD0oZvHbZgGS1asYOuG9cz/w28+wTC+n2ybhgOOA+LQ3+wAft7Z0vTzbSuWs23Fcv+SZ5+8A5fregRhW7KNc3BwcBjiHNizbePrbNt4siFhaUBx2bSzzwpmZl/gklxlituT7lKUkEuS/N5A0O0Pp0ken1dQfH5UtwfZ40FwSQiWhSgmyhqrsoLH6yEUCqMock842MEQMY/b3SusdqjT0NSCrpsfDUTfjz32WAvQcvD9N77xjXtcLtdVgiB855FHHjm8HPW3gXW2bafruv4zYAFHUFFR8ZhlWf8A3DNv3rxHf3LljT+WDtPQWvbi0+xY/THnful2Rk8/p9exlR8tIZKTT7yrg/XvL+jlLBxO/d7dHNi9k2mf/yITL+qtsWFZVq8iBi//9r+O26fb5yOQnsHY9AuoXLqYxur9AHg87p79wYxMghmZFJ9xJqveeJnNSxfR0dyEP5LW0+bg74cT1xJORnZpGVs/Xsb0q68/Sk9sqBGLx1m4dAmbli/hjTkP/EmPRu9Ltk3DhaH9l3VIBTqAeZjmvGQb4uDg4JCCNAFNOz5ZuQY4mftsGlCcUVw8PpSeNUP2eMe7vZ5sRfWEVZ8v7Pb6PKrPL3mDIcHr9wtufwDV78clq71yWSRJSuQXeBN6LD1J9916LIosDajK/YlobG6yBds+WSfutJk1a9YE27Yfsm17/ty5c3vEDu+6664sYLRpmhUul6tMEIQfzJ49W5o9e7ZxsI1pmj8VRXG0IAh3zpkz52kAF3il7qIFG95/m/amBi66/R8oPuPMXp8b62invamRz91wKx1NjWxasvAoZ+Ig21d/BIJwlPMB9Gp/Kn221NXQ0dJE3uiEg+J1+/r8fqZecTWbly5i17rVx9QIO4imJ5LYx513EQ379rLi1b9z7k23H/eYZNLa3s4Hy5ay+q3X7YWPP/ol+kfjbMTgOCAODg4ODg4jhyagqWHPnjUNe/Y8dRLt04BioCiYkXFmMCPzDHcglOcPp2V5/P40l6x4PF6f5A2FRNXnFbzBEN5gCNntQVJUbPquGHa4yv1B56W/nBbLtujs6hJ8na4BFSCcPXu2u7q6eglQNW/evBsP3+fxeP4DMB955JFHv/a1rwUVRflxTU3N94DfHGwjCMIYoPKg8wFgYbkProC0NdYTysw+yvkAWPvuAgRBoGz6ORhajI2L36Ny6SImXHjpUW2jbW1IR+jdPPGzf8G2EjnSV/7jveSUjT2pPpc+/yRLn38SgGB6JhfefjcAbneiOtzBPg8iKW4EQaCrtbXPPgDGnXsh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  f = open(f\"lgbm_logs_{version}.txt\", \"w+\")\n    lgbm_predictions = []\n    \n    # Log in W&B\n    wandb.log({'n_estimators': n_estimators, 'num_leaves': num_leaves})\n    \n    k = 1\n    for train_path, test_path in zip(train_paths, test_paths):\n\n\n        # --- Read in data ---\n        train_df = pd.read_csv(train_path, index_col=0)\n        train_df = train_df.sample(frac=1, random_state=10)\n\n        # Erase last column (which is \"site_path_timestamp\")\n        test_df = pd.read_csv(test_path, index_col=0).iloc[:, :-1]\n\n        # Sample out training and validation data\n        ### we need to be careful to choose same information for ALL 3 models\n        ### 1 for x, 1 for y and 1 for floor\n\n        train_size = int(len(train_df) * train_perc)\n\n\n        # --- Data Validation ---\n        # Train features + targets\n        X_train = train_df.iloc[:train_size, :-4]\n        y_train_x = train_df.iloc[:train_size, -4]\n        y_train_y = train_df.iloc[:train_size, -3]\n        y_train_f = train_df.iloc[:train_size, -2]\n\n        # Valid features + targets\n        X_valid = train_df.iloc[train_size:, :-4]\n        y_valid_x = train_df.iloc[train_size:, -4]\n        y_valid_y = train_df.iloc[train_size:, -3]\n        y_valid_f = train_df.iloc[train_size:, -2]\n\n\n        # --- Model Training ---\n        lgbm_x = lgb.LGBMRegressor(n_estimators=n_estimators, num_leaves=num_leaves)\n        lgbm_x.fit(X_train, y_train_x)\n\n        lgbm_y = lgb.LGBMRegressor(n_estimators=n_estimators, num_leaves=num_leaves)\n        lgbm_y.fit(X_train, y_train_y)\n\n        lgbm_f = lgb.LGBMClassifier(n_estimators=n_estimators, num_leaves=num_leaves)\n        lgbm_f.fit(X_train, y_train_f)\n\n\n        # --- Model Validation Predictions ---\n        preds_x = lgbm_x.predict(X_valid)\n        preds_y = lgbm_y.predict(X_valid)\n        preds_f = lgbm_f.predict(X_valid).astype(int)\n        \n        mpe = mean_position_error(preds_x, preds_y, preds_f,\n                                  y_valid_x, y_valid_y, y_valid_f)\n        print(\"{} | MPE: {}\".format(k, mpe))\n        # Save logs\n        with open(f\"lgbm_logs_{version}.txt\", 'a+') as f:\n            print(\"{} | MPE: {}\".format(k, mpe), file=f)\n        \n        # Log MPE of this experiment\n        wandb.log({'MPE' : mpe, 'step' : k})\n        \n        k+=1\n\n\n        # --- Model Test Predictions ---\n        test_preds_x = lgbm_x.predict(test_df)\n        test_preds_y = lgbm_y.predict(test_df)\n        test_preds_f = lgbm_f.predict(test_df).astype(int)\n\n        all_test_preds = pd.DataFrame({'floor' : test_preds_f,\n                                       'x' : test_preds_x, \n                                       'y' : test_preds_y})\n        lgbm_predictions.append(all_test_preds)\n    \n    \n    return 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        Traceback (most recent call last)","\u001b[0;32m<ipython-input-76-6c33c6dbd7a8>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mtrain_df\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread_csv\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtrain_path\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mindex_col\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0mtrain_df\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtrain_df\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msample\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfrac\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrandom_state\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;31mNameError\u001b[0m: name 'train_path' is not defined"],"ename":"NameError","evalue":"name 'train_path' is not defined","output_type":"error"}]},{"cell_type":"code","source":"wifi_sample_path = '/kaggle/input/indoor-navigation-and-location-wifi-features/wifi_features/train/5d27099f03f801723c32511d_1000_train.csv'","metadata":{"execution":{"iopub.status.busy":"2023-04-23T09:27:07.018921Z","iopub.execute_input":"2023-04-23T09:27:07.01932Z","iopub.status.idle":"2023-04-23T09:27:07.025743Z","shell.execute_reply.started":"2023-04-23T09:27:07.019287Z","shell.execute_reply":"2023-04-23T09:27:07.024298Z"},"trusted":true},"execution_count":37,"outputs":[]},{"cell_type":"code","source":"df = 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columns]","text/html":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Unnamed: 0</th>\n      <th>010a084bf21b8b6e5d20b52ddce771a2096bce49</th>\n      <th>01505ab29c36463d7de4270c6e3008a2aed95260</th>\n      <th>02b2a90669c8c2c9e60eb767915673f3d7eec163</th>\n      <th>034ad5a7558e2e969020ecda0e93ef0c0d89720b</th>\n      <th>0392d4ae1c20d7288925446e25edc32be83562c2</th>\n      <th>03ca47f31c7f46b3410506082b7e7dd05d08983c</th>\n      <th>047c12a550068b3c3ac3a563d0caf712e21cfa9f</th>\n      <th>0490d62107e6ef199f62bef26b3fa5e434b5793c</th>\n      <th>05cf0c6a59298a43c55b9b9a1921271136cd2844</th>\n      <th>...</th>\n      <th>fac5bb53eba73a84b256f49577d8c502d6d99a50</th>\n      <th>fc27c0656fc13157bb2f58543d51e8ee972fdf66</th>\n      <th>fd411d584b11c7df8957e258f1552395fbdfa187</th>\n      <th>ff20069c9561845ba74de8d4c7253828855a3607</th>\n      <th>ff81c427a297c4802d6d2bc1585932444fa05d1b</th>\n      <th>ffe816ea4cf58e5fd30b65652933d9a7bc42da63</th>\n      <th>x</th>\n      <th>y</th>\n      <th>f</th>\n      <th>path</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>4</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-50</td>\n      <td>...</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-83</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>19.355019</td>\n      <td>67.330670</td>\n      <td>-1</td>\n      <td>5dce74b494e49000061250c6</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>4</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-42</td>\n      <td>...</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-87</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>19.171440</td>\n      <td>65.295135</td>\n      <td>-1</td>\n      <td>5dce74b494e49000061250c6</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>4</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-39</td>\n      <td>...</td>\n      <td>-85</td>\n      <td>-999</td>\n      <td>-83</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>19.171440</td>\n      <td>65.295135</td>\n      <td>-1</td>\n      <td>5dce74b494e49000061250c6</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>4</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-34</td>\n      <td>...</td>\n      <td>-85</td>\n      <td>-999</td>\n      <td>-79</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>19.171440</td>\n      <td>65.295135</td>\n      <td>-1</td>\n      <td>5dce74b494e49000061250c6</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>4</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-48</td>\n      <td>...</td>\n      <td>-85</td>\n      <td>-999</td>\n      <td>-83</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>19.171440</td>\n      <td>65.295135</td>\n      <td>-1</td>\n      <td>5dce74b494e49000061250c6</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>4246</th>\n      <td>4</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-80</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>...</td>\n      <td>-999</td>\n      <td>-70</td>\n      <td>-999</td>\n      <td>-92</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>12.609427</td>\n      <td>115.322350</td>\n      <td>3</td>\n      <td>5dce8be794e49000061251cd</td>\n    </tr>\n    <tr>\n      <th>4247</th>\n      <td>4</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-80</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>...</td>\n      <td>-999</td>\n      <td>-70</td>\n      <td>-999</td>\n      <td>-92</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>12.609427</td>\n      <td>115.322350</td>\n      <td>3</td>\n      <td>5dce8be794e49000061251cd</td>\n    </tr>\n    <tr>\n      <th>4248</th>\n      <td>4</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-80</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>...</td>\n      <td>-999</td>\n      <td>-70</td>\n      <td>-999</td>\n      <td>-92</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>20.167260</td>\n      <td>113.347420</td>\n      <td>3</td>\n      <td>5dce8be794e49000061251cd</td>\n    </tr>\n    <tr>\n      <th>4249</th>\n      <td>4</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-75</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>...</td>\n      <td>-999</td>\n      <td>-70</td>\n      <td>-999</td>\n      <td>-92</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>20.167260</td>\n      <td>113.347420</td>\n      <td>3</td>\n      <td>5dce8be794e49000061251cd</td>\n    </tr>\n    <tr>\n      <th>4250</th>\n      <td>4</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-81</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>...</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>-67</td>\n      <td>-999</td>\n      <td>-999</td>\n      <td>10.831971</td>\n      <td>84.430230</td>\n      <td>3</td>\n      <td>5dce9b6a5516ad00065f0486</td>\n    </tr>\n  </tbody>\n</table>\n<p>4251 rows × 225 columns</p>\n</div>"},"metadata":{}}]},{"cell_type":"code","source":"sample_file.wifi","metadata":{"execution":{"iopub.status.busy":"2023-04-19T04:14:39.938207Z","iopub.execute_input":"2023-04-19T04:14:39.938998Z","iopub.status.idle":"2023-04-19T04:14:39.946826Z","shell.execute_reply.started":"2023-04-19T04:14:39.938955Z","shell.execute_reply":"2023-04-19T04:14:39.945427Z"},"trusted":true},"execution_count":12,"outputs":[{"execution_count":12,"output_type":"execute_result","data":{"text/plain":"array([['1560676621442', 'aabbe037012b5a241b60fd84439d5825c58ece97',\n        '01225520e18dbce9b0d8b49ed08ac6cce914b14b', '-84',\n        '1560676621397'],\n       ['1560676621442', 'aabbe037012b5a241b60fd84439d5825c58ece97',\n        '01ecd0f3392cd7eefa0c4c218db73513796db30a', '-82',\n        '1560676621397'],\n       ['1560676621442', 'da39a3ee5e6b4b0d3255bfef95601890afd80709',\n        '041253ae34bd5c597404b8dcaed52402bb2bf3f0', '-82',\n        '1560676621397'],\n       ...,\n       ['1560677020998', '7368e642d96d744964f6190f21e441bef89f5982',\n        '6ffee6b27febb0d379b672c898cd50e582263e28', '-52',\n        '1560677020934'],\n       ['1560677020998', '39db40987727b4404daf02cef84642c6678851d3',\n        '0001fb9e86d2bf8932049c6c023aa4dbb8a922f8', '-51',\n        '1560677020934'],\n       ['1560677020998', '2241a80de9ceb4636760335eed9f913a0717f251',\n        'c83a1ebd650c1e861f962ff4b681a59ddf192bf9', '-51',\n        '1560677020934']], dtype='<U40')"},"metadata":{}}]},{"cell_type":"code","source":"path = glob.glob('../input/indoor-location-navigation/train/*/*/*')[0]","metadata":{"execution":{"iopub.status.busy":"2023-04-18T08:12:44.455997Z","iopub.execute_input":"2023-04-18T08:12:44.456429Z","iopub.status.idle":"2023-04-18T08:12:45.154638Z","shell.execute_reply.started":"2023-04-18T08:12:44.45639Z","shell.execute_reply":"2023-04-18T08:12:45.153339Z"},"trusted":true},"execution_count":54,"outputs":[]},{"cell_type":"code","source":"from io_f import read_data_file\n\nfor path in glob.glob('../input/indoor-location-navigation/train/*/*/*')[:1000]:\n    _, _, _, _, building, floor, f_name = path.split(\"/\")\n    data = read_data_file(path)","metadata":{},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"_, _, _, _, building, floor, f_name = path.split(\"/\")","metadata":{"execution":{"iopub.status.busy":"2023-04-18T08:13:53.840022Z","iopub.execute_input":"2023-04-18T08:13:53.84045Z","iopub.status.idle":"2023-04-18T08:13:53.845915Z","shell.execute_reply.started":"2023-04-18T08:13:53.840414Z","shell.execute_reply":"2023-04-18T08:13:53.84505Z"},"trusted":true},"execution_count":59,"outputs":[]},{"cell_type":"code","source":"datetime.fromtimestamp(float(sample_file.wifi[:, 0][0])/1000)","metadata":{"execution":{"iopub.status.busy":"2023-04-18T07:38:14.188151Z","iopub.execute_input":"2023-04-18T07:38:14.188564Z","iopub.status.idle":"2023-04-18T07:38:14.195927Z","shell.execute_reply.started":"2023-04-18T07:38:14.188529Z","shell.execute_reply":"2023-04-18T07:38:14.194978Z"},"trusted":true},"execution_count":26,"outputs":[{"execution_count":26,"output_type":"execute_result","data":{"text/plain":"datetime.datetime(2019, 6, 16, 9, 17, 1, 442000)"},"metadata":{}}]},{"cell_type":"code","source":"float(sample_file.waypoint[:, 0][0]) in sample_file.wifi[:, 0].astype(float)","metadata":{"execution":{"iopub.status.busy":"2023-04-19T04:21:34.95484Z","iopub.execute_input":"2023-04-19T04:21:34.955226Z","iopub.status.idle":"2023-04-19T04:21:34.96398Z","shell.execute_reply.started":"2023-04-19T04:21:34.955195Z","shell.execute_reply":"2023-04-19T04:21:34.962914Z"},"trusted":true},"execution_count":20,"outputs":[{"execution_count":20,"output_type":"execute_result","data":{"text/plain":"False"},"metadata":{}}]},{"cell_type":"code","source":"path.split(\"/\")[-1][:-4]","metadata":{"execution":{"iopub.status.busy":"2023-04-19T04:30:11.955817Z","iopub.execute_input":"2023-04-19T04:30:11.956391Z","iopub.status.idle":"2023-04-19T04:30:11.963858Z","shell.execute_reply.started":"2023-04-19T04:30:11.956352Z","shell.execute_reply":"2023-04-19T04:30:11.962488Z"},"trusted":true},"execution_count":26,"outputs":[{"execution_count":26,"output_type":"execute_result","data":{"text/plain":"'5d06134c4a19c000086c4324'"},"metadata":{}}]},{"cell_type":"code","source":"(sample_file.wifi[:, 1] == path.split(\"/\")[-1][:-4]).sum()","metadata":{"execution":{"iopub.status.busy":"2023-04-19T04:31:02.686299Z","iopub.execute_input":"2023-04-19T04:31:02.686721Z","iopub.status.idle":"2023-04-19T04:31:02.695251Z","shell.execute_reply.started":"2023-04-19T04:31:02.686679Z","shell.execute_reply":"2023-04-19T04:31:02.693856Z"},"trusted":true},"execution_count":31,"outputs":[{"execution_count":31,"output_type":"execute_result","data":{"text/plain":"0"},"metadata":{}}]},{"cell_type":"code","source":"sample_file.wifi.shape","metadata":{"execution":{"iopub.status.busy":"2023-04-19T04:31:43.212875Z","iopub.execute_input":"2023-04-19T04:31:43.213272Z","iopub.status.idle":"2023-04-19T04:31:43.220075Z","shell.execute_reply.started":"2023-04-19T04:31:43.213239Z","shell.execute_reply":"2023-04-19T04:31:43.219195Z"},"trusted":true},"execution_count":36,"outputs":[{"execution_count":36,"output_type":"execute_result","data":{"text/plain":"(764, 5)"},"metadata":{}}]},{"cell_type":"code","source":"(sample_file.wifi[:, 0].astype(float) == float(sample_file.waypoint[:, 0][0])).sum()","metadata":{"execution":{"iopub.status.busy":"2023-04-19T04:31:08.671516Z","iopub.execute_input":"2023-04-19T04:31:08.671926Z","iopub.status.idle":"2023-04-19T04:31:08.679602Z","shell.execute_reply.started":"2023-04-19T04:31:08.671895Z","shell.execute_reply":"2023-04-19T04:31:08.678599Z"},"trusted":true},"execution_count":32,"outputs":[{"execution_count":32,"output_type":"execute_result","data":{"text/plain":"0"},"metadata":{}}]},{"cell_type":"code","source":"from main import calibrate_magnetic_wifi_ibeacon_to_position\nfrom main import extract_magnetic_strength\n\nmwi_datas = calibrate_magnetic_wifi_ibeacon_to_position([path])","metadata":{"execution":{"iopub.status.busy":"2023-04-19T04:13:06.467424Z","iopub.execute_input":"2023-04-19T04:13:06.468072Z","iopub.status.idle":"2023-04-19T04:13:10.787406Z","shell.execute_reply.started":"2023-04-19T04:13:06.468032Z","shell.execute_reply":"2023-04-19T04:13:10.786234Z"},"trusted":true},"execution_count":7,"outputs":[]},{"cell_type":"code","source":"from main import extract_wifi_rssi, extract_wifi_count\nwifi_rssi = extract_wifi_rssi(mwi_datas)","metadata":{"execution":{"iopub.status.busy":"2023-04-18T07:58:22.993923Z","iopub.execute_input":"2023-04-18T07:58:22.994585Z","iopub.status.idle":"2023-04-18T07:58:23.008367Z","shell.execute_reply.started":"2023-04-18T07:58:22.994521Z","shell.execute_reply":"2023-04-18T07:58:23.006529Z"},"trusted":true},"execution_count":42,"outputs":[]},{"cell_type":"code","source":"datetime.fromtimestamp(float(sample_file.wifi[0][0])/1000)","metadata":{"execution":{"iopub.status.busy":"2023-04-18T07:41:58.054405Z","iopub.execute_input":"2023-04-18T07:41:58.054774Z","iopub.status.idle":"2023-04-18T07:41:58.062702Z","shell.execute_reply.started":"2023-04-18T07:41:58.054744Z","shell.execute_reply":"2023-04-18T07:41:58.061595Z"},"trusted":true},"execution_count":30,"outputs":[{"execution_count":30,"output_type":"execute_result","data":{"text/plain":"datetime.datetime(2019, 6, 16, 9, 17, 1, 442000)"},"metadata":{}}]},{"cell_type":"code","source":"from datetime import datetime\n\ndatetime.fromtimestamp(sample_file.waypoint[0][0]/1000.0)","metadata":{"execution":{"iopub.status.busy":"2023-04-18T07:22:57.902431Z","iopub.execute_input":"2023-04-18T07:22:57.903015Z","iopub.status.idle":"2023-04-18T07:22:57.909957Z","shell.execute_reply.started":"2023-04-18T07:22:57.902959Z","shell.execute_reply":"2023-04-18T07:22:57.908977Z"},"trusted":true},"execution_count":12,"outputs":[{"execution_count":12,"output_type":"execute_result","data":{"text/plain":"datetime.datetime(2019, 6, 16, 9, 16, 58, 883000)"},"metadata":{}}]},{"cell_type":"code","source":"# How 1 path looks\nbase = '../input/indoor-location-navigation'\npath = f'{base}/test/030b3d94de8acae7c936563d.txt'\n\nwith open(path) as p:\n    lines = p.readlines()\n\nprint(\"No. Lines in 1 example: {:,}\". format(len(lines)), \"\\n\" +\n      \"Example (5 lines): \", lines[0:5])","metadata":{"execution":{"iopub.status.busy":"2023-05-01T07:45:46.466339Z","iopub.execute_input":"2023-05-01T07:45:46.466748Z","iopub.status.idle":"2023-05-01T07:45:46.565782Z","shell.execute_reply.started":"2023-05-01T07:45:46.466714Z","shell.execute_reply":"2023-05-01T07:45:46.564727Z"},"trusted":true},"execution_count":45,"outputs":[{"name":"stdout","text":"No. Lines in 1 example: 35,625 \nExample (5 lines):  ['#\\tstartTime\\t0000000000000\\n', '#\\tSiteID:5da138764db8ce0c98bcaa46\\tSiteName:银泰百货\\n', '0000000000146\\tTYPE_ACCELEROMETER\\t-1.5266113\\t-0.8284302\\t7.610077\\t2\\n', '0000000000146\\tTYPE_MAGNETIC_FIELD\\t7.6293945\\t-32.141113\\t-21.765137\\t3\\n', '0000000000146\\tTYPE_GYROSCOPE\\t-0.13545227\\t-0.05697632\\t0.2559662\\t3\\n']\n","output_type":"stream"}]},{"cell_type":"code","source":"t = read_data_file(path)","metadata":{"execution":{"iopub.status.busy":"2023-05-01T07:47:20.027398Z","iopub.execute_input":"2023-05-01T07:47:20.027974Z","iopub.status.idle":"2023-05-01T07:47:20.294442Z","shell.execute_reply.started":"2023-05-01T07:47:20.027921Z","shell.execute_reply":"2023-05-01T07:47:20.29341Z"},"trusted":true},"execution_count":47,"outputs":[]},{"cell_type":"code","source":"","metadata":{"execution":{"iopub.status.busy":"2023-05-01T07:54:34.090293Z","iopub.execute_input":"2023-05-01T07:54:34.091085Z","iopub.status.idle":"2023-05-01T07:54:34.098616Z","shell.execute_reply.started":"2023-05-01T07:54:34.091009Z","shell.execute_reply":"2023-05-01T07:54:34.097181Z"},"trusted":true},"execution_count":60,"outputs":[{"execution_count":60,"output_type":"execute_result","data":{"text/plain":"229"},"metadata":{}}]},{"cell_type":"markdown","source":"## I. Light GBM","metadata":{}},{"cell_type":"code","source":"# Import Libraries\nimport lightgbm as lgb\n\n# ~~~~\n# Data\n# ~~~~\nbase_dir = \"../input/indoor-navigation-and-location-wifi-features/wifi_features\"\ntrain_dir = \"/train/*_train.csv\"\ntest_dir = \"/test/*_test.csv\"\n\n\n# Paths for train & test files\ntrain_paths = sorted(glob.glob(base_dir + train_dir))\ntest_paths = sorted(glob.glob(base_dir + test_dir))\nsample_subm = pd.read_csv('../input/indoor-location-navigation/sample_submission.csv',\n                          index_col=0)\n\nprint(\"Len Train Files: {}\".format(len(train_paths)), \"\\n\" +\n      \"Len Test Files: {}\".format(len(test_paths)))","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Initialize new experiment (LGBM)\nrun = wandb.init(project=\"indoor-location-kaggle\", name=\"lgbm_train\")\n\nwandb.log({'Len Train Files' : len(train_paths),\n           'Len Test Files' : len(test_paths)})","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"> Schema of the \"Training loop\" (inspired by [Jiwei Liu's work](https://www.kaggle.com/jiweiliu)):\n<img src=\"https://i.imgur.com/UQmdRcz.png\" width=750>\n\n#### Code Below","metadata":{}},{"cell_type":"code","source":"def train_lgbm(train_perc=0.75, version=1, n_estimators=150, num_leaves=127):\n    '''\n    Training loop\n    '''\n\n    f = open(f\"lgbm_logs_{version}.txt\", \"w+\")\n    lgbm_predictions = []\n    \n    # Log in W&B\n    wandb.log({'n_estimators': n_estimators, 'num_leaves': num_leaves})\n    \n    k = 1\n    for train_path, test_path in zip(train_paths, test_paths):\n\n\n        # --- Read in data ---\n        train_df = pd.read_csv(train_path, index_col=0)\n        train_df = train_df.sample(frac=1, random_state=10)\n\n        # Erase last column (which is \"site_path_timestamp\")\n        test_df = pd.read_csv(test_path, index_col=0).iloc[:, :-1]\n\n        # Sample out training and validation data\n        ### we need to be careful to choose same information for ALL 3 models\n        ### 1 for x, 1 for y and 1 for floor\n\n        train_size = int(len(train_df) * train_perc)\n\n\n        # --- Data Validation ---\n        # Train features + targets\n        X_train = train_df.iloc[:train_size, :-4]\n        y_train_x = train_df.iloc[:train_size, -4]\n        y_train_y = train_df.iloc[:train_size, -3]\n        y_train_f = train_df.iloc[:train_size, -2]\n\n        # Valid features + targets\n        X_valid = train_df.iloc[train_size:, :-4]\n        y_valid_x = train_df.iloc[train_size:, -4]\n        y_valid_y = train_df.iloc[train_size:, -3]\n        y_valid_f = train_df.iloc[train_size:, -2]\n\n\n        # --- Model Training ---\n        lgbm_x = lgb.LGBMRegressor(n_estimators=n_estimators, num_leaves=num_leaves)\n        lgbm_x.fit(X_train, y_train_x)\n\n        lgbm_y = lgb.LGBMRegressor(n_estimators=n_estimators, num_leaves=num_leaves)\n        lgbm_y.fit(X_train, y_train_y)\n\n        lgbm_f = lgb.LGBMClassifier(n_estimators=n_estimators, num_leaves=num_leaves)\n        lgbm_f.fit(X_train, y_train_f)\n\n\n        # --- Model Validation Predictions ---\n        preds_x = lgbm_x.predict(X_valid)\n        preds_y = lgbm_y.predict(X_valid)\n        preds_f = lgbm_f.predict(X_valid).astype(int)\n        \n        mpe = mean_position_error(preds_x, preds_y, preds_f,\n                                  y_valid_x, y_valid_y, y_valid_f)\n        print(\"{} | MPE: {}\".format(k, mpe))\n        # Save logs\n        with open(f\"lgbm_logs_{version}.txt\", 'a+') as f:\n            print(\"{} | MPE: {}\".format(k, mpe), file=f)\n        \n        # Log MPE of this experiment\n        wandb.log({'MPE' : mpe, 'step' : k})\n        \n        k+=1\n\n\n        # --- Model Test Predictions ---\n        test_preds_x = lgbm_x.predict(test_df)\n        test_preds_y = lgbm_y.predict(test_df)\n        test_preds_f = lgbm_f.predict(test_df).astype(int)\n\n        all_test_preds = pd.DataFrame({'floor' : test_preds_f,\n                                       'x' : test_preds_x, \n                                       'y' : test_preds_y})\n        lgbm_predictions.append(all_test_preds)\n    \n    \n    return lgbm_predictions","metadata":{"_kg_hide-input":true,"_kg_hide-output":false,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### Training","metadata":{}},{"cell_type":"code","source":"# Uncomment line below to train your own model\n# lgbm_predictions = train_lgbm(train_perc = 0.75, version=1)\n\n# # Logs from my training:\nprint(open('../input/indoor-locationnavigation-2021/lgbm_logs_1.txt', \"r\").read())","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"> ❗**Attention**: *5th* dataframe had a BIG error (jumped from ~4 on average to 18). This case HAS to be taken into consideration, as the models seems to be underfitting. The *10th, 13th, 21st* have big MPE as well.\n\n### Submission LGBM","metadata":{}},{"cell_type":"code","source":"# Uncomment line below to make your own submission\n# make_submission(lgbm_predictions, sample_subm, name=\"lgbm_base.csv\")\n\n# My submission:\nlgbm_predictions = pd.read_csv(\"../input/indoor-locationnavigation-2021/lgbm_base.csv\")\nlgbm_predictions.to_csv(\"lgbm_base.csv\", index=False)","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# ~ END of EXPERIMENT ~\nwandb.finish()\n# ~~~~~~~~~~~~~~~~~~~~~","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## II. XGBoost - Faster with RAPIDS\n\n> 📌 **Note**: I will use a combination of **RAPIDS** libraries on GPU and XGBoost as one of my base models. More information on this open source suite of libraries [here](https://rapids.ai/).","metadata":{}},{"cell_type":"code","source":"# Libraries\nimport cudf\nimport cupy\nimport cuml\nimport xgboost\n\n# Adjust floor function\n### As the Multiclass XGBoost takes only labels between [0, n)\n### But we have negative floor values\ndef adjust_floor(df, col_name):\n    '''Adjusts the floor to be >= 0.\n    Also returns the number fo classes (also used to complete classification).'''\n    num_classes = df[col_name].nunique()\n    smallest = df[col_name].unique().min()\n    df[col_name] = df[col_name] - smallest\n    \n    return df[col_name], num_classes, smallest","metadata":{"_kg_hide-input":false,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Initialize new experiment (XGB)\nrun = wandb.init(project=\"indoor-location-kaggle\", name=\"xgb_train\")\n\nwandb.log({'Len Train Files' : len(train_paths),\n           'Len Test Files' : len(test_paths)})","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{"execution":{"iopub.status.busy":"2023-05-01T07:43:56.893149Z","iopub.execute_input":"2023-05-01T07:43:56.893539Z","iopub.status.idle":"2023-05-01T07:43:57.002639Z","shell.execute_reply.started":"2023-05-01T07:43:56.893507Z","shell.execute_reply":"2023-05-01T07:43:57.001387Z"},"trusted":true},"execution_count":43,"outputs":[]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"def train_xgb(train_perc=0.75, version=1):\n    '''\n    Training loop\n    '''\n\n    f = open(f\"xgb_logs_{version}.txt\", \"w+\")\n    xgb_predictions = []\n    \n    \n    k = 1\n    for train_path, test_path in zip(train_paths, test_paths):\n\n\n        # --- Read in data ---\n        train_df = cudf.read_csv(train_path, index_col=0)\n        train_df = train_df.sample(frac=1, random_state=10)\n        train_df[\"f\"], num_classes, smallest = adjust_floor(train_df, 'f')\n\n        # Erase last column (which is \"site_path_timestamp\")\n        test_df = cudf.read_csv(test_path, index_col=0).iloc[:, :-1]\n\n        # Sample out training and validation data\n        ### we need to be careful to choose same information for ALL 3 models\n        ### 1 for x, 1 for y and 1 for floor\n\n        train_size = int(len(train_df) * train_perc)\n\n\n        # --- Data Validation ---\n        # Train features + targets\n        X_train = train_df.iloc[:train_size, :-4]\n        y_train_x = train_df.iloc[:train_size, -4]\n        y_train_y = train_df.iloc[:train_size, -3]\n        y_train_f = train_df.iloc[:train_size, -2]\n\n        # Valid features + targets\n        X_valid = train_df.iloc[train_size:, :-4]\n        y_valid_x = cupy.asanyarray(train_df.iloc[train_size:, -4])\n        y_valid_y = cupy.asanyarray(train_df.iloc[train_size:, -3])\n        y_valid_f = cupy.asanyarray(train_df.iloc[train_size:, -2])\n        \n        \n        # --- Parameters ---\n        regr_params = {'max_depth' : 4, 'max_leaves' : 2**4, \n                       'tree_method' : 'gpu_hist', 'objective' : 'reg:squarederror',\n                       'grow_policy' : 'lossguide', 'colsample_bynode': 0.8}\n        classif_params = {'max_depth' : 4, 'max_leaves' : 2**4,\n                          'tree_method' : 'gpu_hist', 'objective' : 'multi:softmax',\n                          'num_class' : num_classes, 'grow_policy' : 'lossguide',\n                          'colsample_bynode': 0.8, 'verbosity' : 0}\n        \n        # Log once to W&B\n        if k == 1:\n            wandb.log(regr_params)\n            wandb.log(classif_params)\n\n\n        # --- Model Training ---\n        trainMatrix_x = xgboost.DMatrix(data=X_train, label=y_train_x)\n        xgboost_x = xgboost.train(params=regr_params, dtrain=trainMatrix_x)\n\n        trainMatrix_y = xgboost.DMatrix(data=X_train, label=y_train_y)\n        xgboost_y = xgboost.train(params=regr_params, dtrain=trainMatrix_y)\n\n        trainMatrix_f = xgboost.DMatrix(data=X_train, label=y_train_f)\n        xgboost_f = xgboost.train(params=classif_params, dtrain=trainMatrix_f)\n\n\n        # --- Model Validation Predictions ---\n        preds_x = cupy.asanyarray(xgboost_x.predict(xgboost.DMatrix(X_valid)))\n        preds_y = cupy.asanyarray(xgboost_y.predict(xgboost.DMatrix(X_valid)))\n        preds_f = cupy.asanyarray(xgboost_f.predict(xgboost.DMatrix(X_valid)).astype(int))\n\n        mpe = mean_position_error_gpu(preds_x, preds_y, preds_f,\n                                      y_valid_x, y_valid_y, y_valid_f)\n        print(\"{} | MPE: {}\".format(k, mpe))\n        # Save logs\n        with open(f\"xgb_logs_{version}.txt\", 'a+') as f:\n            print(\"{} | MPE: {}\".format(k, mpe), file=f)\n        \n        # Log MPE of this experiment\n        wandb.log({'MPE' : mpe, 'step' : k})\n        \n        k+=1\n\n\n        # --- Model Test Predictions ---\n        test_preds_x = xgboost_x.predict(xgboost.DMatrix(test_df))\n        test_preds_y = xgboost_y.predict(xgboost.DMatrix(test_df))\n        test_preds_f = xgboost_f.predict(xgboost.DMatrix(test_df)).astype(int) + smallest\n\n        all_test_preds = pd.DataFrame({'floor' : test_preds_f,\n                                       'x' : test_preds_x, \n                                       'y' : test_preds_y})\n        xgb_predictions.append(all_test_preds)\n    \n    \n    return xgb_predictions","metadata":{"_kg_hide-input":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### Training","metadata":{}},{"cell_type":"code","source":"# Uncomment line below to train your own model\n# xgb_predictions = train_xgb(train_perc=0.75, version=1)\n\n# Logs from my training:\nprint(open('../input/indoor-locationnavigation-2021/xgb_logs_1.txt', \"r\").read())","metadata":{"_kg_hide-input":false,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### Submission","metadata":{}},{"cell_type":"code","source":"# Uncomment line below to make your own submission\n# make_submission(xgb_predictions, sample_subm, name=\"xgb_base.csv\")\n\n# My submission:\nxgb_predictions = pd.read_csv(\"../input/indoor-locationnavigation-2021/xgb_base.csv\")\nxgb_predictions.to_csv(\"xgb_base.csv\", index=False)","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# ~ END of EXPERIMENT ~\nwandb.finish()\n# ~~~~~~~~~~~~~~~~~~~~~","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# 5. Save W&B Submissions and Logs\n\n> We can save the predictions and logs to W&B.","metadata":{}},{"cell_type":"code","source":"# Submissions\n### we can save the predictions in W&B\nrun = wandb.init(project='indoor-location-kaggle', name='submissions')\nartifact = wandb.Artifact(name='submissions', \n                          type='dataset')\n\nartifact.add_file(\"../input/indoor-locationnavigation-2021/lgbm_base.csv\")\nartifact.add_file(\"../input/indoor-locationnavigation-2021/xgb_base.csv\")\n\nwandb.log_artifact(artifact)\nwandb.finish()","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Logs\n### we can save the predictions in W&B\nrun = wandb.init(project='indoor-location-kaggle', name='training_logs')\nartifact = wandb.Artifact(name='training_logs', \n                          type='dataset')\n\nartifact.add_file(\"../input/indoor-locationnavigation-2021/lgbm_logs_1.txt\")\nartifact.add_file(\"../input/indoor-locationnavigation-2021/xgb_logs_1.txt\")\n\nwandb.log_artifact(artifact)\nwandb.finish()","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"> The Artifact section of the project:\n<img src=\"https://i.imgur.com/KqzJuFL.png\">\n\n# 🥙 Blending Stirring Cooking \n\n> First let's compare the 2 model's predictions. (needs more work)","metadata":{}},{"cell_type":"code","source":"# # Read in data\n# lgb_preds = pd.read_csv(\"../input/indoor-locationnavigation-2021/lgbm_base.csv\")\n# xgb_preds = pd.read_csv(\"../input/indoor-locationnavigation-2021/xgb_base.csv\")\n\n# sample_submission = pd.read_csv(\"../input/indoor-location-navigation/sample_submission.csv\")\n\n# # Sample Submission\n# sample_submission[\"x\"] = lgb_preds[\"x\"] * 0.9 + xgb_preds[\"x\"] * 0.1\n# sample_submission[\"y\"] = lgb_preds[\"y\"] * 0.9 + xgb_preds[\"y\"] * 0.1\n\n# sample_submission.to_csv(\"blend1.csv\", index=False)","metadata":{"_kg_hide-input":true,"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"<img src=\"https://i.imgur.com/cUQXtS7.png\">\n\n# ⌨️🎨 Specs on how I prepped & trained \n### (on my local machine)\n* Z8 G4 Workstation 🖥\n* 2 CPUs & 96GB Memory 💾\n* NVIDIA Quadro RTX 8000 🎮\n* RAPIDS version 0.17 🏃🏾‍♀️","metadata":{}}]}